Method and device for adjusting equipment cluster

Abstract

The invention relates to an equipment cluster adjusting method and device, and the method comprises the steps: determining a preset equipment number corresponding to a preset power range where the current total input power is located as a target number for a target equipment cluster based on a preset corresponding relation between the preset power range and the preset equipment number; when it is determined that the number of the current running devices in the target device cluster is not equal to the target number, the number of the current running devices is adjusted to the target number; wherein the total efficiency of the target device cluster is not lower than a preset efficiency threshold value under the condition that the total input power is within any preset power range and the number of the operating devices is the corresponding preset device number. By adaptively adjusting the number of the current operating devices in the device cluster and adapting the current total input power, the total efficiency stability of the device cluster can be improved.

Description

Technical Field

[0001] The present disclosure relates to the field of computer application technology, and in particular to a method and apparatus for adjusting a device cluster. Background Art

[0002] Currently, many businesses are executed through equipment clusters, for example, a hydrogen production equipment cluster consisting of multiple hydrogen production equipment and a server cluster consisting of multiple servers.

[0003] When the equipment cluster is running, each equipment is usually kept in operation. For example, for the electric hydrogen production equipment cluster, wind power can be used for energy supply, and the total power input by wind power can be evenly distributed to each electric hydrogen production equipment for hydrogen production.

[0004] However, this equipment cluster operation mode will reduce the stability of the overall efficiency of the equipment cluster. In particular, when the input power fluctuates, the stability of the overall efficiency is poor. Summary of the invention

[0005] In view of this, the present disclosure proposes a method and apparatus for adjusting a device cluster to improve the stability of the overall efficiency of the device cluster.

[0006] According to one aspect of the present disclosure, a method for adjusting a device cluster is provided, comprising:

[0007] For the target device cluster, based on the preset correspondence between the preset power range and the preset device number, the preset device number corresponding to the preset power range where the current total input power is located is determined as the target number; if it is determined that the current number of running devices in the target device cluster is not equal to the target number, the current number of running devices is adjusted to the target number;

[0008] Wherein, when the total input power of the target device cluster is within any preset power range and the number of running devices is the corresponding preset number of devices, the total efficiency is not lower than the preset efficiency threshold.

[0009] According to another aspect of the present disclosure, another method for adjusting a device cluster is provided, comprising:

[0010] For a cluster of hydrogen production equipment powered by wind power, based on a preset correspondence between a preset power range and a preset number of equipment, the preset number of equipment corresponding to the preset power range where the current total wind power input power is located is determined as the target number; if it is determined that the number of currently operating equipment in the hydrogen production equipment cluster is not equal to the target number, the number of currently operating equipment is adjusted to the target number;

[0011] Among them, when the total wind power input power of the hydrogen production equipment cluster is within any preset power range and the number of operating equipment is the corresponding preset number of equipment, the total efficiency is not lower than the preset efficiency threshold.

[0012] According to another aspect of the present disclosure, there is provided an adjustment device for a device cluster, comprising:

[0013] A determination unit, configured to determine, for the target device cluster, a preset number of devices corresponding to a preset power range where the current total input power is located as a target number based on a preset correspondence between the preset power range and the preset number of devices;

[0014] a quantity adjustment unit, configured to adjust the number of currently running devices to the target number when it is determined that the number of currently running devices in the target device cluster is not equal to the target number;

[0015] Wherein, when the total input power of the target device cluster is within any preset power range and the number of running devices is the corresponding preset number of devices, the total efficiency is not lower than the preset efficiency threshold.

[0016] According to another aspect of the present disclosure, an electronic device is provided, comprising: a processor; and a memory for storing processor-executable instructions; wherein the processor is configured to implement the above method when executing the instructions stored in the memory.

[0017] According to another aspect of the present disclosure, a non-volatile computer-readable storage medium is provided, on which computer program instructions are stored, wherein the computer program instructions implement the above method when executed by a processor.

[0018] According to another aspect of the present disclosure, a computer program product is provided, including a computer-readable code, or a non-volatile computer-readable storage medium carrying the computer-readable code. When the computer-readable code runs in a processor of an electronic device, the processor in the electronic device executes the above method.

[0019] According to the above embodiment, by adaptively adjusting the number of currently running devices in the device cluster and adapting to the current total input power, the overall efficiency stability of the device cluster can be improved.

[0020] According to the following detailed description of exemplary embodiments with reference to the accompanying drawings, other features and aspects of the present disclosure will become clear.It should be understood that the above general description and the following detailed description are only exemplary and explanatory and cannot limit the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate exemplary embodiments, features, and aspects of the disclosure and, together with the description, serve to explain the principles of the disclosure.

[0022] Figure 1 A flowchart showing a method for adjusting a device cluster according to an embodiment of the present disclosure is shown;

[0023] Figure 2 A structural diagram of a device cluster according to an embodiment of the present disclosure is shown;

[0024] Figure 3 A schematic diagram showing a principle of a method for constructing a preset corresponding relationship according to an embodiment of the present disclosure;

[0025] Figure 4 A flowchart showing another method for adjusting a device cluster according to an embodiment of the present disclosure is shown;

[0026] Figure 5 A flowchart showing another method for adjusting a device cluster according to an embodiment of the present disclosure is shown;

[0027] Figure 6 A schematic diagram showing a changing relationship between total input power and total energy efficiency under different numbers of operating devices according to an embodiment of the present disclosure;

[0028] Figure 7 A flowchart showing an adaptive power allocation strategy execution process according to an embodiment of the present disclosure;

[0029] Figure 8 A schematic diagram showing the changing relationship between input power and energy efficiency of a single operating device according to an embodiment of the present disclosure;

[0030] Fig. 9 A structural diagram showing a device for adjusting a device cluster according to an embodiment of the present disclosure is shown;

[0031] Fig.10 It is a block diagram of an apparatus 1900 for implementing a method for adjusting a device cluster according to an exemplary embodiment. DETAILED DESCRIPTION

[0032] Various exemplary embodiments, features and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. The same reference numerals in the accompanying drawings represent elements with the same or similar functions. Although various aspects of the embodiments are shown in the accompanying drawings, the drawings are not necessarily drawn to scale unless otherwise specified.

[0033] The word “exemplary” is used exclusively herein to mean “serving as an example, example, or illustration.” Any embodiment described herein as “exemplary” is not necessarily to be construed as preferred or advantageous over other embodiments.

[0034] In addition, in order to better illustrate the present disclosure, numerous specific details are given in the following specific embodiments. It should be understood by those skilled in the art that the present disclosure can also be implemented without certain specific details. In some examples, methods, means, components and circuits well known to those skilled in the art are not described in detail in order to highlight the subject matter of the present disclosure.

[0035] Currently, many businesses are executed through equipment clusters, for example, a hydrogen production equipment cluster consisting of multiple hydrogen production equipment and a server cluster consisting of multiple servers.

[0036] When the equipment cluster is running, each equipment is usually kept in operation. For example, for the electric hydrogen production equipment cluster, wind power can be used for energy supply, and the total power input by wind power can be evenly distributed to each electric hydrogen production equipment for hydrogen production.

[0037] However, this equipment cluster operation mode will reduce the stability of the overall efficiency of the equipment cluster. In particular, when the input power fluctuates, the stability of the overall efficiency is poor.

[0038] When the total input power is low, maintaining the operation of each device will result in more power waste and the overall efficiency will drop to a lower level.

[0039] In order to solve the above technical problems, an embodiment of the present disclosure provides a method for adjusting a device cluster.

[0040] In this method, the number of operating devices with higher total efficiency can be determined according to the current actual total input power of the device cluster, and the current number of actual operating devices can be adjusted to the determined number of operating devices. Thus, the number of currently operating devices in the device cluster can be adaptively adjusted according to the current total input power to adapt to the current total input power and improve the overall efficiency stability of the device cluster.

[0041] The method can be specifically applied to control devices of a device cluster, thereby facilitating control and adjustment of the number of running devices in the device cluster.

[0042] The method may include: for a target device cluster, based on a preset correspondence between a preset power range and a preset device number, determining the preset device number corresponding to the preset power range where the current total input power is located as the target number; when it is determined that the current number of running devices in the target device cluster is not equal to the target number, adjusting the current number of running devices to the target number; wherein, when the total input power of the target device cluster is within any preset power range and the number of running devices is the corresponding preset number of devices, the total efficiency is not lower than a preset efficiency threshold.

[0043] The method can adaptively adjust the number of currently running devices in the device cluster according to the current total input power and utilize a preset corresponding relationship to adapt to the current total input power, thereby improving the overall efficiency stability of the device cluster, increasing the probability that the total efficiency is above a preset efficiency threshold, and reducing the probability that the total efficiency is below the preset efficiency threshold.

[0044] A method for adjusting a device cluster provided by an embodiment of the present disclosure is explained in detail below.

[0045] In the process of this method, the specific form of the equipment cluster is not limited, and it can be a hydrogen production equipment cluster, a server cluster, or other equipment clusters, etc. The process of this method also does not limit the number of equipment in the equipment cluster.

[0046] The method flow does not limit the execution subject. The method flow can be a control device applied to a device cluster, or a master device applied to a device cluster, etc. The execution subject of the method flow can be inside the device cluster or other devices outside the device cluster. It can be understood that in a specific example, a control device of the device cluster can be deployed outside the device cluster, so that the device cluster can be adjusted through the control device to execute the method flow; a device can be selected as the master device inside the device cluster to adjust the device cluster and execute the method flow.

[0047] Figure 1 A flow chart of a method for adjusting a device cluster according to an embodiment of the present disclosure is shown. Figure 1 As shown, the method may include the following steps:

[0048] S101: For a target device cluster, based on a preset correspondence between a preset power range and a preset device quantity, determining a preset device quantity corresponding to a preset power range where a current total input power is located as a target quantity.

[0049] S102: When it is determined that the number of currently running devices in the target device cluster is not equal to the target number, the number of currently running devices is adjusted to the target number.

[0050] Among them, when the total input power of the target device cluster is within any preset power range and the number of running devices is the corresponding preset number of devices, the total efficiency may not be lower than the preset efficiency threshold.

[0051] In addition, when the total input power of the target device cluster is within any preset power range and the number of running devices is the corresponding preset number of devices, the total efficiency may also be higher than the preset efficiency threshold.

[0052] The method process can adaptively adjust the number of currently running devices in the device cluster according to the current total input power and utilize the preset corresponding relationship to adapt to the current total input power, thereby improving the total efficiency stability of the device cluster, increasing the probability that the total efficiency is above the preset efficiency threshold, and reducing the probability that the total efficiency is below the preset efficiency threshold.

[0053] Among them, for energy supply methods with strong volatility, such as wind power supply, the method process can flexibly and adaptively adjust the number of currently operating devices according to the current total input power, and introduce a total efficiency that is not lower than a preset efficiency threshold as one of the bases for adjusting the number of operating devices, thereby improving the overall efficiency stability of the equipment cluster.

[0054] S101 and S102 in the method flow describe a process of adjusting the number of currently running devices. It is understandable that for multiple different processes of adjusting the number of currently running devices, reference can be made to the relevant explanations of the method flow.

[0055] In the process of this method, the target device cluster may specifically be any device cluster. For the convenience of description, any device cluster adjusted by the embodiment of this method is referred to as the target device cluster.

[0056] For ease of understanding, the present disclosure also provides a specific example of a device cluster. Figure 2 FIG. 2 shows a structural diagram of a device cluster according to an embodiment of the present disclosure. Figure 2 As shown, the target device cluster may include 1 control device and n electric hydrogen production devices.

[0057] The n electric hydrogen production equipments are respectively electric hydrogen production equipment 1 to electric hydrogen production equipment n.

[0058] Among them, wind power supply can be input into the target equipment cluster, and the control device controls the total input power of the wind power supply to be distributed to the operating hydrogen production equipment and controls the number of currently operating equipment.

[0059] Specifically, the control device may control the opening and closing of each electric hydrogen production device, thereby controlling and adjusting the number of currently operating devices.

[0060] exist Figure 2 In the embodiment, the electric hydrogen production equipment 1 and the electric hydrogen production equipment 2 may be in a state of maintaining operation, the number of the currently operating equipment may be 2, and the other electric hydrogen production equipment may be in a state of stopping operation.

[0061] The following is a detailed explanation of various aspects of the process of this method.

[0062] 1. Explanation of total input power, total output power and total efficiency.

[0063] 1. Total input power.

[0064] The method flow is not limited to a specific total input power.

[0065] Optionally, the total input power may specifically be the overall input power input to the target device cluster, or may be the overall input power received by the target device cluster.

[0066] For example, the target device cluster may be supplied with energy by wind power, so that the overall input power provided by the wind power may be determined, or the wind power input power received by the target device cluster may be determined.

[0067] For the sake of distinction, the input power input to the entire target device cluster can be referred to as the total input power, and correspondingly, the input power allocated to a single running device in the target device cluster can be referred to as the sub-input power. Of course, the input power input to the entire target device cluster can also be referred to as the cluster input power, and the input power allocated to each running device in the target device cluster can be referred to as the device input power.

[0068] It should be noted that the target device cluster may include currently running devices and currently non-running devices, and the sub-input power may be determined for the currently running devices, and for the currently non-running devices, it may not be necessary to determine the sub-input power.

[0069] The method flow does not limit the specific method of determining the total input power, nor does it limit the specific method of monitoring the total input power.

[0070] Optionally, the total input power can be determined by comprehensively considering the sub-input power of each running device in the target device cluster, specifically, the sum of the sub-input power of each running device in the target device cluster can be determined as the total input power; the total input power can also be determined directly based on the voltage and current of the target device cluster being powered, specifically, the product of the voltage and current input to the target device cluster can be determined as the total input power. In addition, the power output to the target device cluster by the power supply method can also be determined as the total input power.

[0071] Accordingly, the specific way to monitor the total input power may be to continuously monitor the sub-input power of each running device in the target device cluster to determine the total input power, or to continuously monitor the voltage and current input to the target device cluster to determine the total input power.

[0072] In some specific examples, the device cluster can be powered by different power supply methods such as wind power, photovoltaic power, hydropower, and power grid, and the total input power of the device cluster can be determined based on the specific power supply method. For example, for the wind power power supply method, the total input power can be calculated by the voltage and current of the wind power input to the device cluster, that is, the total input power is calculated for the power supply energy.

[0073] 2. Total output power.

[0074] Since the total input power and total efficiency are involved in the process of the method, the corresponding total output power can also be determined for the target device cluster.

[0075] The method flow does not limit the specific total output power.

[0076] Optionally, the total output power may specifically be the output power output by the target device cluster as a whole, or may be the output power generated by the overall operation of the target device cluster.

[0077] For example, the target equipment cluster may be a hydrogen production equipment cluster, which includes at least two hydrogen production equipments, so that the actual output power used for hydrogen production in the hydrogen production equipment cluster can be determined, that is, the output power obtained by the overall operation.

[0078] For the convenience of distinction, the output power of the entire target device cluster may be referred to as total output power, and correspondingly, the output power of a single operating device in the target device cluster may be referred to as sub-output power.

[0079] It should be noted that the target device cluster may include currently running devices and currently non-running devices, and the sub-output power may be determined for the currently running devices, and for the currently non-running devices, the sub-output power may not need to be determined.

[0080] The method flow does not limit the method for determining the total output power, nor does it limit the specific method for monitoring the total output power.

[0081] Optionally, the total output power can be determined by comprehensively considering the sub-output powers of each running device in the target device cluster. Specifically, the total output power can be determined as the sum of the sub-output powers of each running device in the target device cluster. The total output power can also be determined based on the overall output of the target device cluster. Specifically, the total output power can be determined based on the overall output of the target device cluster or the output power obtained.

[0082] Accordingly, the specific way to monitor the total output power may be to continuously monitor the sub-output power of each running device in the target device cluster to determine the total output power, or to continuously monitor the output of the target device cluster to determine the total output power.

[0083] In a specific example, the target equipment cluster may be a hydrogen production equipment cluster, the output of which is hydrogen. Thus, the actual sub-output power of each operating hydrogen production equipment may be determined based on the specific hydrogen production parameters of the hydrogen production equipment (such as the voltage and current during actual hydrogen production), which is used to determine the total output power of the hydrogen production equipment cluster.

[0084] 3. Overall efficiency.

[0085] The present method flow is not limited to a specific overall efficiency.

[0086] Optionally, the total efficiency may specifically be the total energy efficiency of the entire target device cluster, or the total output efficiency of the target device cluster, and so on.

[0087] For example, the total efficiency of the target device cluster can be measured by the ratio of the total output power to the total input power of the target device cluster; the total efficiency of the target device cluster can also be measured by the output of the target device cluster when a unit power of electrical energy is continuously input into the target device cluster within a unit time.

[0088] For the example of a hydrogen production equipment cluster, the total efficiency of the hydrogen production equipment cluster can be measured by the amount of hydrogen that can be produced by the hydrogen production equipment cluster when a unit power of electric energy is continuously input into the hydrogen production equipment cluster within a unit time.

[0089] For the sake of distinction, the efficiency of the entire target device cluster can be called the total efficiency, and accordingly, the efficiency of a single device in the target device cluster can be called the sub-efficiency. Of course, the efficiency of a single currently running device in the target device cluster can also be called the sub-efficiency.

[0090] For a device that is not currently operating in the target device cluster, the sub-input power and the sub-output efficiency may not be determined, so that the sub-efficiency does not need to be calculated.

[0091] The method flow does not limit the specific method for determining the total efficiency.

[0092] Optionally, the efficiency can be determined by comprehensively analyzing the sub-efficiencies of each device in the target device cluster, or by analyzing the total input power and total output power of the target device cluster, or by analyzing the total input power and total output of the target device cluster. In addition, the total efficiency can be determined by combining information such as the loss in the target device cluster.

[0093] Optionally, the ratio of the total output power of the target device cluster to the total input power of the target device cluster can be calculated as the total efficiency of the target device cluster; the ratio of the output rate of the target device cluster to the total input power of the target device cluster can also be calculated as the total efficiency of the target device cluster.

[0094] In a specific example, the target equipment cluster can be an electric hydrogen production equipment cluster, which includes at least two electric hydrogen production equipment, so that the ratio of the overall hydrogen production rate of the electric hydrogen production equipment cluster to the total input power of the electric hydrogen production equipment cluster can be calculated. Specifically, the ratio of the average hydrogen production rate of the overall electric hydrogen production equipment cluster within a time period to the average total input power of the electric hydrogen production equipment cluster can be calculated to characterize the overall efficiency.

[0095] The method flow does not limit the specific representation method of the total efficiency of the entire device cluster, nor does it limit the specific representation method of the sub-efficiency of a single device in the device cluster.

[0096] Optionally, the total efficiency can be characterized by the ratio between the total output power of the target device cluster and the total input power of the target device cluster; the total efficiency can also be characterized by the ratio between the total output of the target device cluster and the total input power of the target device cluster. Correspondingly, the sub-efficiency of a single device can be characterized by the ratio between the sub-output power and the sub-input power of the device, or the sub-efficiency of the device can be characterized by the ratio between the output of a single device and the sub-input power of the device.

[0097] In some specific examples, for a cluster of hydrogen production equipment, the efficiency can be characterized by hydrogen production efficiency, specifically, the hydrogen production efficiency of a single hydrogen production equipment can be used to characterize the sub-efficiency, or the hydrogen production efficiency of the entire cluster of hydrogen production equipment can be used to characterize the total efficiency. The efficiency can also be characterized by hydrogen-to-electricity conversion efficiency, specifically, the efficiency of converting electrical energy into hydrogen energy, specifically, the hydrogen-to-electricity conversion efficiency of a single hydrogen production equipment can be used to characterize the sub-efficiency, or the hydrogen-to-electricity conversion efficiency of the entire cluster of hydrogen production equipment can be used to characterize the total efficiency.

[0098] More specifically, the electric energy value input to the electric hydrogen production equipment cluster can be determined, and then the amount of hydrogen produced by the electric hydrogen production equipment cluster using the input electric energy can be determined, so that the hydrogen amount can be converted into a hydrogen energy value, and then the ratio between the determined hydrogen energy value and the electric energy value can be used to characterize the overall efficiency of the electric hydrogen production equipment cluster.

[0099] 2. S101: For a target device cluster, based on a preset correspondence between a preset power range and a preset device quantity, a preset device quantity corresponding to a preset power range where a current total input power is located is determined as a target quantity.

[0100] 1. Regarding the triggering execution of S101.

[0101] In an optional embodiment, S101 and S102 may be executed sequentially. After S101 is executed, it may be determined whether S102 needs to be executed to adjust the number by judging whether the number of currently running devices in the target device cluster is equal to the target number.

[0102] Specifically, when the target number is determined, it is determined whether the number of currently running devices in the target device cluster is equal to the target number.

[0103] When it is determined that the number of currently running devices in the target device cluster is not equal to the target number, the number of currently running devices is adjusted to the target number.

[0104] Optionally, when it is determined that the number of currently running devices in the target device cluster is equal to the target number, no operation may be performed, the method flow may be stopped, or S101 may continue to be triggered to be re-executed.

[0105] It should be noted that in this method flow, the stability of the target device cluster can be improved by adjusting the number of currently running devices in the target device cluster to adapt the total input power currently input to the target device cluster. Therefore, for the situation where the total input power fluctuates, it may be necessary to execute this method flow multiple times. For the multiple executions of this method flow, please refer to the corresponding explanations.

[0106] In a specific example, for energy supply methods with strong volatility and prone to fluctuations, such as wind power supply, the total input power provided by wind power may easily fluctuate. Therefore, by executing the method process multiple times, the number of operating equipment can be flexibly and adaptively adjusted according to the current fluctuating total input power to improve the stability of the overall efficiency.

[0107] In order to execute the method flow multiple times, a loop execution method can be adopted.

[0108] Optionally, for the target device cluster, based on a preset correspondence between a preset power range and a preset number of devices, the preset number of devices corresponding to the preset power range where the current total input power is located is determined as the target number; when it is determined that the current number of running devices in the target device cluster is not equal to the target number, the current number of running devices is adjusted to the target number. Specifically, it can be: for the target device cluster, the following steps are executed in a loop: based on a preset correspondence between a preset power range and a preset number of devices, the preset number of devices corresponding to the preset power range where the current total input power is located is determined as the target number; when it is determined that the current number of running devices in the target device cluster is not equal to the target number, the current number of running devices is adjusted to the target number.

[0109] S101 and S102 may be repeatedly executed multiple times in a loop, that is, the operations of determining the target quantity and adjusting the number of currently running devices may be repeatedly executed multiple times in a loop.

[0110] In a specific loop, a judgment step may also be added, which may be: for the target device cluster, the following steps are executed in a loop: based on a preset correspondence between a preset power range and a preset number of devices, the preset number of devices corresponding to the preset power range where the current total input power is located is determined as the target number; whether the current number of running devices in the target device cluster is equal to the target number is determined; if it is determined that the current number of running devices in the target device cluster is not equal to the target number, the current number of running devices is adjusted to the target number.

[0111] Accordingly, when it is determined that the current number of running devices in the target device cluster is equal to the target number, no operation may be performed and the method process may be re-executed through a loop, that is, the operation of determining the target number and adjusting the current number of running devices may be re-executed through a loop.

[0112] In this embodiment, the operations of determining the target number and adjusting the number of currently running devices can be performed in a loop, so as to facilitate multiple adjustments to the number of currently running devices in the target device cluster to better adapt to the current total input power, improve the adaptability of the current number of running devices to the current total input power, and better improve the stability of the overall efficiency.

[0113] In addition, for the above loop, the trigger execution condition in the loop can be further set, so as to facilitate the control of the timing of single loop execution, the frequency of the loop, etc.

[0114] The method flow does not limit the trigger execution condition in the loop. The trigger execution condition can be used to trigger the start of the operation of determining the target quantity and adjusting the number of currently running devices, and can be used to trigger the start of S101 and S102.

[0115] Optionally, a new cycle may be triggered directly to execute; the method process may be executed in a periodic cycle; or, in the cycle, when preset conditions are met, the operation of determining the target quantity and adjusting the number of currently running devices may be started.

[0116] For ease of understanding, several specific examples are given below.

[0117] Example 1: The method may be executed periodically, specifically, S101 may be executed periodically according to a preset period, that is, S101 may be re-triggered every preset period. The subsequent S102 may determine whether to continue execution according to the judgment result.

[0118] Alternatively, when the time from the last time the target quantity was determined exceeds a preset period, it may be determined to re-trigger the execution of S101 and S102 .

[0119] Therefore, the process of the present method can specifically be to periodically trigger the execution of S101 and S102, that is, for the target device cluster, the following steps are periodically looped: based on the preset correspondence between the preset power range and the preset number of devices, the preset number of devices corresponding to the preset power range where the current total input power is located is determined as the target number; when it is determined that the current number of running devices in the target device cluster is not equal to the target number, the current number of running devices is adjusted to the target number.

[0120] Accordingly, by periodically adjusting the number of currently running devices in the target device cluster, the frequency of adjusting the number of currently running devices can be conveniently controlled, thereby improving the flexibility of adjusting the number of currently running devices.

[0121] Example 2: Since the total input power may fluctuate, it is possible to determine whether to trigger the start of execution or the restart of execution of the method flow in the cycle to adjust the number of currently running devices based on the change in the total input power. In the case of triggering the execution of the method flow for the first time, the method flow may be directly executed, and then it may be determined whether to trigger the start of execution of the method flow again based on the change in the total input power.

[0122] Specifically, when the total input power changes greatly or quickly, it may be determined that it is necessary to re-trigger and start executing S101 and S102, and adjust the number of currently running devices again to adapt to the changed current total input power.

[0123] This example can determine the time to adjust the number of currently running devices according to the change of the total input power, thereby improving the efficiency of adjusting the number of currently running devices.

[0124] Therefore, optionally, for the target device cluster, based on a preset correspondence between a preset power range and a preset number of devices, the preset number of devices corresponding to the preset power range where the current total input power is located is determined as the target number; when it is determined that the current number of running devices in the target device cluster is not equal to the target number, the current number of running devices is adjusted to the target number, which may be specifically:

[0125] For the target device cluster, the following steps are executed in a loop: under preset circumstances, based on a preset correspondence between a preset power range and a preset number of devices, the preset number of devices corresponding to the preset power range where the current total input power is located is determined as the target number; when it is determined that the current number of running devices in the target device cluster is not equal to the target number, the current number of running devices is adjusted to the target number.

[0126] This embodiment does not limit the specific preset conditions, which may specifically be to meet the periodicity requirement or to be used to indicate that the total input power changes greatly or quickly.

[0127] Optionally, the preset situation may include at least one of the following:

[0128] 1) The current moment meets the preset periodicity requirements.

[0129] 2) The absolute value of the current rate of change of the total input power is greater than a preset rate of change threshold.

[0130] 3) The absolute value of the current total input power change is greater than the preset change threshold.

[0131] This embodiment does not limit the specific preset periodicity requirement, as long as the method process can be executed periodically and cyclically.

[0132] For example, the preset periodic requirement may specifically be that the interval between the current moment and the last moment of determining the target quantity is greater than the preset cycle duration, or that the interval between the current moment and the last moment of executing S101 is greater than the preset cycle duration, or that the interval between the current moment and the end moment of the last cycle is greater than the preset cycle duration.

[0133] This embodiment does not limit the specific preset change rate threshold and preset change rate threshold, which can be set according to actual needs and actual conditions. This embodiment does not limit the specific determination method of the change rate and change amount of the current total input power, which can specifically be to determine the change rate and change amount within a specified time or specified period.

[0134] This embodiment can set a preset situation to facilitate the timing of starting to execute the method process to adjust the number of currently running devices in the control loop, improve the flexibility of adjusting the number of currently running devices, and facilitate multiple adjustments to the number of currently running devices in the target device cluster to better adapt to the current total input power, improve the adaptability of the current number of running devices to the current total input power, and better improve the stability of the overall efficiency.

[0135] It is understandable that the three preset conditions listed in the above embodiment are only for illustrative purposes, and other preset conditions may be set to re-trigger the execution of the method flow multiple times to adjust the number of currently running devices. Different preset conditions may also coexist to adapt to different needs and situations.

[0136] For example, for the target device cluster, when the absolute value of the change rate of the current total input power is greater than the preset change rate threshold, or the absolute value of the change amount of the current total input power is greater than the preset change amount threshold, the preset number of devices corresponding to the preset power range where the current total input power is located can be determined as the target number based on the preset correspondence between the preset power range and the preset number of devices. In this way, the timing of adjusting the number of currently running devices can be determined in combination with the situation where the current total input power changes greatly and quickly, thereby improving the real-time performance of adjusting the number of currently running devices.

[0137] In addition, optionally, for the target device cluster, based on a preset correspondence between a preset power range and a preset number of devices, the preset number of devices corresponding to the preset power range where the current total input power is located is determined as the target number; when it is determined that the current number of running devices in the target device cluster is not equal to the target number, the current number of running devices is adjusted to the target number, which may be any of the following:

[0138] 1) For the target device cluster, the following steps can be performed periodically: based on the preset correspondence between the preset power range and the preset number of devices, the preset number of devices corresponding to the preset power range where the current total input power is located can be determined as the target number; when it is determined that the current number of running devices in the target device cluster is not equal to the target number, the current number of running devices can be adjusted to the target number.

[0139] 2) For the target device cluster, the following steps can be executed in a loop: when it is monitored that the absolute value of the change rate of the current total input power is greater than a preset change rate threshold, based on a preset correspondence between a preset power range and a preset number of devices, the preset number of devices corresponding to the preset power range where the current total input power is located can be determined as the target number; when it is determined that the current number of running devices in the target device cluster is not equal to the target number, the current number of running devices can be adjusted to the target number.

[0140] 3) For the target device cluster, the following steps can be executed cyclically: when it is monitored that the absolute value of the change in the current total input power is greater than a preset change threshold, based on the preset correspondence between the preset power range and the preset number of devices, the preset number of devices corresponding to the preset power range where the current total input power is located can be determined as the target number; when it is determined that the current number of running devices in the target device cluster is not equal to the target number, the current number of running devices can be adjusted to the target number.

[0141] 4) For the target device cluster, the following steps can be performed cyclically: when it is monitored that the absolute value of the change rate of the current total input power is greater than the preset change rate threshold, or when it is monitored that the absolute value of the change amount of the current total input power is greater than the preset change amount threshold, based on the preset correspondence between the preset power range and the preset number of devices, the preset number of devices corresponding to the preset power range where the current total input power is located can be determined as the target number; when it is determined that the current number of running devices in the target device cluster is not equal to the target number, the current number of running devices can be adjusted to the target number.

[0142] It can be understood that the explanations of the above four items can be found in the previous text and are only used for illustrative purposes.

[0143] 2. About the preset correspondence.

[0144] In the process of the present method, the preset corresponding relationship may specifically include a preset power range and a corresponding preset number of devices.

[0145] The method flow does not limit the number and form of the preset corresponding relationships.

[0146] Optionally, in the process of the present method, one or more groups of preset correspondences may be predetermined, each group of preset correspondences may include a preset power range and a preset number of devices, and the preset power range and the preset number of devices in the same group of preset correspondences may correspond to each other. The preset power ranges may be different between different groups of preset correspondences, and the preset power ranges may not overlap with each other, while the preset numbers of devices may be the same or different.

[0147] This embodiment does not limit the specific form of the preset power range, and the preset power range may be specifically represented by a numerical range, for example, greater than 20 and less than 30, or by a numerical value, for example, the total input power is 20, 30, or 40. The preset power range may be a value range of the total input power.

[0148] For ease of understanding, in a specific example, in a set of preset correspondences, the preset power range may be (70, 90), and the corresponding preset number of devices may be 10, wherein the preset power range (70, 90) may represent a power range greater than 70 megawatts and less than 90 megawatts. Of course, the specific power unit is only used for exemplary description and does not limit the scope of the present method flow. In another set of preset correspondences, the preset power range may be (20, 30), and the corresponding preset number of devices may be 8. In another set of preset correspondences, the preset power range may be (40, 50), and the corresponding preset number of devices may be 10.

[0149] In the preset corresponding relationship, the preset power range may be used to match the current total input power of the target device cluster later, and the preset power range itself may represent the value range of the total input power.

[0150] The preset number of devices can be used to adjust the current number of running devices later, that is, the preset number of devices determined as the target number can be used in the process of this method to adjust the current number of running devices to the target number. Therefore, the preset number of devices itself can represent the number requirement of running devices.

[0151] Therefore, in the preset corresponding relationship, the preset power range can specifically be a preset total input power range, the preset device quantity can specifically be a preset number of operating devices, and the preset corresponding relationship can include a preset total input power range and a corresponding number of operating devices.

[0152] It should be noted that the preset power range and the corresponding preset number of devices in each set of preset correspondences can meet specific requirements. Specifically, for the total input power in different preset power ranges, the corresponding preset number of devices can represent the number of running devices that can meet specific requirements.

[0153] In an optional embodiment, in order to adapt to different current total input powers and improve the stability of the total efficiency, the total efficiency can be used as a measurement factor or a specific requirement to determine the preset number of devices corresponding to different preset power ranges.

[0154] This embodiment does not limit specific requirements.

[0155] Optionally, the specific requirement may be that, for a preset corresponding relationship, when the total input power of the target device cluster is within any preset power range and the number of running devices is the corresponding preset number of devices, the total efficiency may not be lower than a preset efficiency threshold.

[0156] More specifically, for each set of preset corresponding relationships, when the total input power of the target device cluster is within the preset power range and the number of running devices of the target device cluster is the preset number of devices, the total efficiency of the target device cluster can be higher than the preset efficiency threshold or not lower than the preset efficiency threshold.

[0157] Based on this specific requirement, the method flow can be used to determine the number of operating devices that are adapted to the current total input power by means of a preset corresponding relationship that meets this specific requirement, that is, the number of operating devices that can make the total efficiency not lower than the preset efficiency threshold under the current total input power. Subsequently, the current number of operating devices can be adjusted to the target number, thereby improving the stability of the total efficiency, specifically, stabilizing the total efficiency above the preset efficiency threshold as much as possible, and increasing the probability that the total efficiency is above the preset efficiency threshold.

[0158] Furthermore, the method flow does not limit the specific preset efficiency threshold, and can be set according to actual needs and actual operating conditions.

[0159] Optionally, the preset efficiency threshold here can specifically be the highest total efficiency of the target device cluster when the total input power is the same and the number of running devices is not the preset number of devices corresponding to the preset power range where the total input power is located. The preset efficiency threshold can be a specific value or a value that can be dynamically updated.

[0160] Optionally, when the total input power of the target device cluster is the same, the total efficiency may be the highest when the number of running devices is a preset number of devices corresponding to the preset power range where the total input power is located. Alternatively, when the total input power of the target device cluster is the same, the total efficiency when the number of running devices is a preset number of devices corresponding to the preset power range where the total input power is located may not be lower than the total efficiency when the number of running devices is another number.

[0161] In this embodiment, the requirements that need to be met by the preset corresponding relationship can be limited, and the number of running devices with relatively high total efficiency can be selected as the preset number of devices, so as to improve the stability of the total efficiency and improve the total efficiency of the target device cluster.

[0162] It should be noted that, for the total efficiency in specific requirements, the present method does not limit the specific determination method. Optionally, the total efficiency in specific requirements can be determined by integrating various aspects of equipment information, or can be determined by data obtained from actual operation statistics.

[0163] For example, for the target device cluster, different total input powers are input in advance, and the total efficiency of different numbers of running devices is collected and determined under different total input power conditions, and then the total efficiency not less than the preset efficiency threshold is determined to construct a preset corresponding relationship.

[0164] In addition, by collecting equipment information, such as equipment operating current, equipment loss, and equipment degradation degree, etc., the total efficiency under different total input powers and different numbers of operating equipment can be determined, so that the total efficiency under different total input power ranges that is not lower than the preset efficiency threshold can be determined, which is used to construct a preset corresponding relationship between the number of operating equipment and the total input power range.

[0165] For a more specific explanation of constructing the preset correspondence, please refer to the explanation below.

[0166] 3. Specific operations of S101.

[0167] Regarding S101, the method flow does not limit the specific operations to be implemented.

[0168] In an optional embodiment, in S101, the preset corresponding relationship may be matched with the current total input power of the target device cluster. Therefore, the preset corresponding relationship and the current total input power to be matched may be determined first.

[0169] Optionally, a preset corresponding relationship may be determined in S101, specifically, the preset corresponding relationship may be obtained by pre-stored preset corresponding relationship, or the preset corresponding relationship may be constructed in real time. The current total input power of the target device cluster may also be determined in S101, specifically, the current total input power of the target device cluster may be monitored in real time, so that the current total input power of the target device cluster may be determined in real time, or the current total input power of the target device cluster may be obtained in real time.

[0170] In summary, S101 may specifically be: for the target device cluster, determine a preset correspondence between a preset power range and a preset number of devices, determine the current total input power of the target device cluster, and based on the determined preset correspondence, determine the preset number of devices corresponding to the preset power range where the current total input power is located as the target number.

[0171] Accordingly, in combination with the above-mentioned embodiment of loop execution, for the target device cluster, based on the preset correspondence between the preset power range and the preset number of devices, the preset number of devices corresponding to the preset power range where the current total input power is located is determined as the target number, which can be specifically:

[0172] For the target device cluster, the following steps are executed in a loop: under a preset situation, a preset correspondence between a preset power range and a preset number of devices is determined, the current total input power of the target device cluster is determined, and based on the determined preset correspondence, the preset number of devices corresponding to the preset power range where the current total input power is located is determined as the target number; when it is determined that the current number of running devices in the target device cluster is not equal to the target number, the current number of running devices is adjusted to the target number.

[0173] This embodiment does not limit the specific method of determining the preset corresponding relationship. Optionally, determining the preset corresponding relationship may be directly obtaining a pre-stored preset corresponding relationship, or may be constructing the preset corresponding relationship in real time. For a more specific explanation, please refer to the following.

[0174] When determining the preset corresponding relationship, at least one group of preset corresponding relationships may be determined. Different preset corresponding relationships may have different preset power ranges or may have preset power ranges that do not overlap with each other.

[0175] This embodiment also does not limit the method of determining the current total input power of the target device cluster. Optionally, the current total input power of the target device cluster can be determined by real-time measurement, specifically, the current input current and voltage of the target device cluster can be determined in real time, so as to calculate and determine the current total input power; or the total input power of the target device cluster can be periodically monitored, or the total input power of the target device cluster can be continuously monitored, so as to directly obtain the monitored current total input power.

[0176] Furthermore, this embodiment does not limit the specific steps of determining the target quantity.

[0177] Optionally, the current total input power may be matched with a preset power range in the preset corresponding relationship by using a preset corresponding relationship, thereby determining the preset power range in which the current total input power is located.

[0178] For example, it may be determined from the preset corresponding relationship whether the preset power range matches the current total input power. Specifically, it may be determined from the preset corresponding relationship whether the preset power range includes the value of the current total input power.

[0179] In a specific example, the current total input power may be 90 megawatts, and the preset power ranges in the preset correspondence may include: (20, 40), [40, 60), [60, 80) and [80, 100). Thus, it can be found that the preset power range where the current total input power is located is [80, 100), that is, a preset power range greater than or equal to 80 megawatts and less than 100 megawatts. Further, it is convenient to determine the preset number of devices corresponding to [80, 100) as the target number.

[0180] Therefore, the preset power range in which the current total input power is located can be determined by searching for a matching preset corresponding relationship.

[0181] 4. About the construction method of preset corresponding relationship.

[0182] The method flow does not limit the specific construction method of the preset corresponding relationship.

[0183] In an optional embodiment, the preset correspondence may include a preset power range of the total input power and a preset number of running devices, and the preset power range and preset number of devices in each group of preset correspondences can meet specific requirements, that is, when the total input power of the target device cluster is within any preset power range and the number of running devices is the corresponding preset number of devices, the total efficiency may not be lower than the preset efficiency threshold.

[0184] Therefore, in the process of constructing a preset corresponding relationship, the relationship between the total input power, the number of operating devices and the total efficiency can be comprehensively considered to construct a preset corresponding relationship that can meet the above-mentioned specific needs.

[0185] When the correlation between the total input power, the number of running devices and the total efficiency is determined, a preset corresponding relationship that can meet the above specific needs can be constructed based on the correlation and the preset efficiency threshold. The correlation can be used to help construct the preset corresponding relationship.

[0186] In other words, the step of constructing a preset corresponding relationship may include: 1) first determining the correlation between the total input power, the number of operating devices and the total efficiency; 2) processing based on the determined correlation to construct the preset corresponding relationship.

[0187] The following explains these two steps separately.

[0188] 1) The relationship between total input power, number of operating equipment and total efficiency.

[0189] This embodiment does not limit the specific form of the relationship between the total input power, the number of operating devices and the total efficiency.

[0190] Optionally, a numerical correlation relationship between the total efficiency of the target device cluster and the change in the number of running devices under different total input powers can be constructed respectively; a numerical correlation relationship between the total efficiency of the target device cluster and the change in the total input power under different numbers of running devices can also be constructed respectively.

[0191] The following mainly explains the numerical correlation relationship between the total efficiency and the total input power when the number of running devices in the target device cluster is different. The explanation of other forms of correlation can be found below.

[0192] This embodiment does not limit the specific method of determining the association relationship between the three, which may be determining a pre-built association relationship, obtaining a pre-stored association relationship, or building an association relationship in real time.

[0193] This embodiment does not limit the specific construction method of the numerical value association change relationship.

[0194] Specifically, we can first construct a numerical correlation relationship between the total efficiency of the target device cluster and the change of the total input power when the number of running devices is limited.

[0195] In one example, a numerical correlation relationship can be constructed of how the total efficiency of the target device cluster changes with the total input power when only 1 device is running, 2 devices are running, 3 devices are running, 4 devices are running, and so on.

[0196] With respect to the numerical correlation change relationship of the total efficiency changing with the total input power, this embodiment does not limit the specific form of the numerical correlation change relationship. Optionally, the numerical correlation change relationship can be a functional relationship between the total efficiency and the total input power, which can be characterized by a function; the numerical correlation change relationship can also be a numerical correspondence relationship between the total efficiency and the total input power, which can be characterized by multiple numerical pairs, and any numerical pair includes a total efficiency value and a total input power value.

[0197] For the convenience of description, the numerical correlation change relationship between the total efficiency and the total input power may be referred to as the numerical correlation change relationship between the total efficiency and the total input power.

[0198] Regarding the specific method of constructing the numerical correlation change relationship, in a specific example, a functional relationship between the total efficiency and the total input power can be constructed by combining various equipment information as the numerical correlation change relationship.

[0199] Alternatively, the target device cluster may be actually operated. Specifically, different total input powers may be pre-input for the target device cluster, and the total efficiency changes of different numbers of operating devices under different total input powers are collected and determined. Thus, multiple sets of corresponding relationships between total efficiency and total input power under different numbers of operating devices, or multiple value pairs between total efficiency and total input power, may be constructed as value correlation change relationships.

[0200] Of course, based on the collected total efficiency changes, it is also possible to construct a functional relationship between the total efficiency and the total input power as a numerical correlation change relationship by fitting functions or the like.

[0201] In summary, optionally, the numerical correlation change relationship between the total input power of the target device cluster and the total efficiency of the target device cluster can be determined respectively when the number of running devices of the target device cluster is limited to different numbers. It can also be determined that the numerical correlation change relationship between the total efficiency of the target device cluster changes with the change of the total input power when the number of running devices of the target device cluster is limited to different numbers.

[0202] Among them, any numerical value association change relationship may correspond to a limited number of operating devices, specifically, the number of operating devices limited when constructing the numerical value association change relationship. Each numerical value association change relationship may also correspond to a different limited number of operating devices.

[0203] Different numerical value association change relationships may correspond to different numbers of operating devices. Specifically, the number of operating devices limited when constructing any numerical value association change relationship may be determined as the number of operating devices corresponding to the numerical value association change relationship.

[0204] Optionally, the current device information in the target device cluster can be combined to construct a determined numerical correlation change relationship. Specifically, based on the current device information in the target device cluster, the numerical correlation change relationship of the total efficiency of the target device cluster with the change of the total input power can be determined respectively when the number of running devices is limited to different values.

[0205] This embodiment does not limit the specific content of the current device information. The current device information may specifically be information about currently running devices in the target device cluster.

[0206] Optionally, the current device information may specifically include at least one of the following: resistance, loss, number of shutdowns, degree of degradation, total operation time, electrode area, input current, input voltage, and the like.

[0207] Many of the device information may change over time, so it is necessary to construct a numerical value association change relationship based on the current device information to improve the accuracy of the numerical value association change relationship.

[0208] This embodiment also does not limit the specific method of constructing the numerical value association change relationship, and does not limit the specific method of constructing the numerical value association change relationship according to the current device information.

[0209] In a specific example, the sub-efficiency of each currently operating device in the target device cluster can be calculated based on the current device information, such as the degree of loss and degradation. Specifically, the heat loss of the operating device under unit input power can be determined based on the resistance and heating parameters of the currently operating device, so that the utilization efficiency of the operating device for unit input power can be determined to obtain the sub-efficiency of the operating device. For a more specific example, see the total energy efficiency determination process of the electric hydrogen production device in the application embodiment below.

[0210] Afterwards, the product of the sub-input power and the sub-efficiency of the currently running device can be used as the sub-output power. The sum of the sub-output powers of each currently running device is determined as the total output power, the sum of the sub-input powers of each currently running device is determined as the total input power, and the ratio between the total output power and the total input power is determined as the total efficiency of the target device cluster, so that a functional relationship between the total efficiency and the sub-input power of each currently running device can be constructed.

[0211] Furthermore, it can be stipulated that the sub-input powers of various currently operating devices are the same, that is, the total input power is evenly distributed to various currently operating devices, so that a functional relationship between the total efficiency and the total input power can be constructed.

[0212] The above construction method is only used for exemplary description. It is understandable that other construction methods can also be used to construct the numerical value association change relationship.

[0213] In addition, optionally, in the process of constructing the numerical value association change relationship, the same power allocation strategy may be used, specifically, a strategy of allocating the total input power to the sub-input powers of each operating device.

[0214] This embodiment does not limit the specific power allocation strategy. Optionally, the total input power may be evenly distributed to each operating device so that each operating device is allocated the same sub-input power, which is the quotient of the total input power and the number of operating devices; or the total input power may be allocated according to the priority of the operating device, etc.

[0215] Accordingly, for the above-mentioned specific needs, the power allocation strategy can be specifically combined, and any preset corresponding relationship can satisfy: when the total input power of the target device cluster is within any preset power range, and the number of running devices is the corresponding preset number of devices, and the total input power is evenly distributed to each currently running device, the total efficiency is not lower than the preset efficiency threshold. Of course, the power allocation strategy is not limited, and it can be an average allocation or other allocation methods.

[0216] Therefore, optionally, when the total input power of the target device cluster is within any preset power range, the number of running devices is the corresponding preset number of devices, and the total input power is evenly distributed to each currently running device, the total efficiency is not lower than the preset efficiency threshold.

[0217] It should be noted that when allocating the total input power to each operating device, the upper and lower limits of the sub-input power of the operating device during operation may also be taken into consideration. For example, when a single operating device is in operation, there may be a lower limit of the sub-input power. If the sub-input power is lower than this lower limit, there may be a risk of device operation, and it is necessary to stop the operation. In addition, when a single operating device is in operation, there may be an upper limit of the sub-input power. If the sub-input power is higher than this upper limit, there may be a risk of device operation, and it is necessary to stop the operation or reduce the sub-input power.

[0218] In combination with the upper and lower limits of the sub-input power, a more specific power allocation strategy can be determined so that the sub-input power of each operating device is between the upper and lower limits.

[0219] 2) Processing based on the relationship between numerical correlation changes.

[0220] When the numerical value correlation change relationship is constructed, analysis can be performed based on the constructed multiple groups of numerical value correlation change relationships.

[0221] The preset corresponding relationship to be constructed needs to meet specific requirements, that is, when the total input power of the target device cluster is within any preset power range and the number of running devices is the corresponding preset number of devices, the total efficiency is not lower than the preset efficiency threshold.

[0222] In the numerical correlation change relationship, the correlation between the total input power, the number of operating devices and the total efficiency can be reflected, so that the preset efficiency threshold can be screened and determined as a condition to determine the total input power and the number of operating devices that can meet the above-mentioned specific needs, so that a set of preset corresponding relationships can be combined and constructed.

[0223] The method flow does not limit the specific way of constructing the preset corresponding relationship.

[0224] To facilitate understanding, some specific examples are given first.

[0225] In a specific example, the corresponding number of operating devices (referred to as the first number of devices in this example) can be determined for any set of numerical association change relationships, and from the change relationship between the total input power and the total efficiency reflected by this set of numerical association change relationships, the part of the total efficiency that is not lower than the preset efficiency threshold and the total input power range corresponding to this part of the total efficiency (referred to as the first power range in this example) can be determined.

[0226] It can be understood that, based on the set of numerical correlation change relationships, when the total input power of the target device cluster is within the determined first power range and the number of running devices is the first number of devices, the total efficiency may not be lower than the preset efficiency threshold.

[0227] Therefore, the first power range and the first device quantity can be constructed as a set of preset corresponding relationships. Specifically, the first power range can be determined as the preset power range, and the first device quantity can be determined as the preset device quantity, so as to be combined to construct a set of preset corresponding relationships.

[0228] In another specific example, for any power range of the total input power (referred to as the second power range in this example), the total efficiency changes corresponding to different numerical correlation change relationships within the second power range can be determined, so that a numerical correlation change relationship in which the total efficiency is always not lower than a preset efficiency threshold can be determined, or a numerical correlation change relationship in which the minimum total efficiency corresponding to the second power range is not lower than the preset efficiency threshold can be determined.

[0229] If there is only one set of determined numerical value association change relationships, a set of preset corresponding relationships can be constructed between the number of operating devices corresponding to the determined numerical value association change relationship (referred to as the second number of devices in this example) and the second power range.

[0230] Based on the determined set of numerical correlation change relationships, when the total input power of the target device cluster is within the second power range and the number of running devices is the second number of devices, the total efficiency may not be lower than a preset efficiency threshold.

[0231] If there are multiple groups of determined numerical correlation change relationships, that is, the minimum total efficiency corresponding to the multiple groups of numerical correlation change relationships within the second power range may not be lower than the preset efficiency threshold, further screening can be performed among the multiple groups of numerical correlation change relationships, and specifically, the numerical correlation change relationship corresponding to the largest number of running devices can be selected, or the numerical correlation change relationship corresponding to the smallest number of running devices can be selected, or a group of numerical correlation change relationships whose corresponding maximum total efficiency within the second power range is not lower than that of other groups of numerical correlation change relationships can be selected. This example is not specifically limited.

[0232] When one group is selected from multiple groups of numerical value association change relationships, the number of operating devices corresponding to the selected numerical value association change relationship and the second power range can be further combined to construct a group of preset corresponding relationships.

[0233] It is understandable that the above two examples are only used for illustrative purposes, and the method flow does not limit the specific way of constructing the preset corresponding relationship, nor does it limit the specific way of constructing the preset corresponding relationship based on the constructed multiple sets of numerical correlation change relationships.

[0234] Therefore, optionally, any power range of the total input power can be determined based on the determined multiple groups of numerical association change relationships, so that among the determined several groups of numerical association change relationships, there is at least one group of numerical association change relationships whose corresponding minimum total efficiency in the determined power range is not lower than a preset efficiency threshold; a group of numerical association change relationships is screened out from the at least one existing group of numerical association change relationships; and a group of preset corresponding relationships is constructed based on the determined power range and the number of operating devices corresponding to the screened numerical association change relationships.

[0235] This embodiment does not limit the specific method of determining the power range. Optionally, a power range can be directly and randomly determined to determine whether the subsequent conditions are met, that is, whether there is at least one group of numerical correlation change relationships in the determined power range whose corresponding minimum total efficiency is not less than the preset efficiency threshold; or the total efficiency value range of each group of numerical correlation change relationships can be combined to determine the part that is not less than the preset efficiency threshold, so as to facilitate the determination of the power range that meets the subsequent conditions.

[0236] This embodiment does not limit the specific screening method. Optionally, it can be to screen out a group of numerical value association change relationships corresponding to the largest or smallest number of running devices, or it can be to screen out a group of numerical value association change relationships corresponding to the highest total efficiency not lower than other groups of numerical value association change relationships within the determined power range, or it can be to randomly determine a group of numerical value association change relationships.

[0237] Among them, if the determined power range makes it possible that among the determined several groups of numerical correlation change relationships, there is only one group of numerical correlation change relationships whose corresponding minimum total efficiency in the determined power range is not lower than the preset efficiency threshold, then this existing group of numerical correlation change relationships can be directly screened out, or a group of preset corresponding relationships can be directly constructed based on the determined power range and the number of operating devices corresponding to this existing group of numerical correlation change relationships.

[0238] This embodiment also does not limit the specific method of constructing a set of preset corresponding relationships.

[0239] Optionally, the determined power range can be determined as a preset power range, and the number of operating devices corresponding to the screened numerical correlation change relationship can be determined as a preset device number, so that a determined preset power range and a preset device number can be combined to construct a set of preset corresponding relationships.

[0240] Optionally, a group of numerical correlation change relationships with the highest total efficiency can also be directly determined. Specifically, it can be: determine any power range of the total input power, so that among the determined groups of numerical correlation change relationships, there is a group of numerical correlation change relationships whose corresponding minimum total efficiency in the determined power range is not lower than a preset efficiency threshold, and in the determined power range, the total efficiency corresponding to any total input power is not lower than the total efficiency corresponding to the same total input power in other groups of numerical correlation change relationships; based on the determined power range and the number of operating devices corresponding to the existing group of numerical correlation change relationships, construct a group of preset corresponding relationships.

[0241] This embodiment does not limit the specific method of determining the power range, nor does this embodiment limit the specific method of constructing a set of preset corresponding relationships. For details, please refer to the above embodiments.

[0242] It can be understood that the above embodiment explains the construction process of a single set of preset corresponding relationships, and for multiple sets of preset corresponding relationships, the construction process of each set of preset corresponding relationships can refer to the explanation of the above embodiment.

[0243] 3) The overall process of constructing preset correspondences.

[0244] The above embodiments specifically explain the two steps of constructing the preset corresponding relationship. It can be understood that different embodiments in the above two steps can be combined in pairs, and the method flow does not limit the specific combination method.

[0245] For example, a functional relationship can be constructed as a numerical correlation change relationship in which the total efficiency changes with the total input power. Then, a preset corresponding relationship can be constructed for each group of numerical correlation change relationships. The numerical correlation change relationships can also be screened in combination with any power range of the total input power and a total efficiency that is not lower than a preset efficiency threshold.

[0246] For ease of understanding, several embodiments are provided below to explain the overall process of building a preset corresponding relationship. It is understandable that the following embodiments are only used for exemplary description, and the method process does not limit the specific process of building a preset corresponding relationship.

[0247] In an optional embodiment, the method for constructing the preset corresponding relationship may specifically include the following steps:

[0248] Determine the numerical correlation change relationship of the total efficiency of the target device cluster with the change of the total input power when the number of running devices is limited to different values; any numerical correlation change relationship corresponds to the limited number of running devices; wherein different numerical correlation change relationships may correspond to different numbers of running devices;

[0249] Determine any power range of the total input power, so that among the determined groups of numerical value association change relationships, there is at least one group of numerical value association change relationships in the determined power range, and the minimum total efficiency corresponding to the relationship is not less than a preset efficiency threshold;

[0250] Filtering a set of numerical value association change relationships from at least one existing set of numerical value association change relationships;

[0251] Based on the determined power range and the number of operating devices corresponding to the screened numerical correlation change relationship, a set of preset corresponding relationships is constructed.

[0252] This embodiment can improve the efficiency of constructing the preset corresponding relationship by determining the numerical correlation change relationship of the total efficiency as the total input power changes when the number of operating devices is limited, and constructing the preset corresponding relationship based on the numerical correlation change relationship.

[0253] In this embodiment, the specific manner of determining the numerical value association change relationship is not limited. Optionally, the numerical value association change relationship that is pre-built or pre-stored may be directly obtained, or the numerical value association change relationship may be built in real time.

[0254] Specifically, the numerical correlation change relationship of the total efficiency of the target device cluster with the change of the total input power when the number of running devices is limited can be determined respectively according to the current device information in the target device cluster; or the numerical correlation change relationship of the total efficiency of the target device cluster with the change of the total input power when the number of running devices is limited can be constructed respectively according to the current device information in the target device cluster. Thus, the numerical correlation change relationship can be determined in real time according to the current device information.

[0255] In the process of constructing the numerical correlation change relationship, this embodiment does not limit the specific power allocation strategy, and does not limit the specific strategy of allocating the total input power to each currently running device. Optionally, in the process of constructing the numerical correlation change relationship, different situations with different numbers of running devices can adopt the same power allocation strategy, so as to facilitate the execution of subsequent steps.

[0256] Specifically, in the process of constructing the numerical correlation change relationship, different situations with different numbers of running devices can be limited, and the same power allocation strategy can be adopted to evenly allocate the total input power to each currently running device.

[0257] For example, if the total input power is w and the number of currently running devices is n, the total input power w may be evenly distributed to the n currently running devices, and each currently running device is allocated a sub-input power of w / n.

[0258] Based on this strategy of evenly distributing power, it is easy to construct a relationship between numerical correlation changes.

[0259] This embodiment does not limit the specific way of constructing the numerical correlation change relationship, and the specific explanation can be referred to the above embodiment. Optionally, a functional relationship of total efficiency changing with total input power can be constructed according to the current device information in the target device cluster as the numerical correlation change relationship.

[0260] Each numerical value association change relationship may correspond to a limited number of operating devices, respectively; wherein different numerical value association change relationships may correspond to different numbers of operating devices.

[0261] This embodiment does not limit the method for determining the power range of the total input power, as long as the subsequent conditions can be met, that is, among the determined groups of numerical correlation change relationships, there is at least one group of numerical correlation change relationships whose corresponding minimum total efficiency in the determined power range is not lower than the preset efficiency threshold.

[0262] For this subsequent condition, specifically, it can be determined from the determined several groups of numerical change relationships, at least one group of numerical change relationships in which the total efficiency is continuously not lower than or higher than the preset efficiency threshold; it can also be determined from the determined several groups of numerical change relationships, at least one group of numerical change relationships in which the total efficiency is maintained above the preset efficiency threshold.

[0263] For other explanations of this embodiment, please refer to the above embodiments.

[0264] In another optional embodiment, the method for constructing the preset corresponding relationship may specifically include the following steps:

[0265] Determine the numerical correlation change relationship of the total efficiency of the target device cluster with the change of the total input power when the number of running devices is limited to different values; any numerical correlation change relationship corresponds to the limited number of running devices; different numerical correlation change relationships may correspond to different numbers of running devices;

[0266] Determine any power range of the total input power, so that among the determined sets of numerical correlation change relationships, there exists a set of specified numerical correlation change relationships, in which the total efficiency corresponding to any total input power in the determined power range is not lower than the total efficiency corresponding to the same total input power in other sets of numerical correlation change relationships;

[0267] Based on the determined power range and the number of operating devices corresponding to the specified numerical correlation change relationship, a set of preset corresponding relationships is constructed.

[0268] Specifically, a set of preset corresponding relationships may be constructed based on the determined power range and the number of operating devices corresponding to the existing specified numerical value association change relationship.

[0269] This embodiment can improve the efficiency of constructing the preset corresponding relationship by determining the numerical correlation change relationship of the total efficiency as the total input power changes when the number of operating devices is limited, and constructing the preset corresponding relationship based on the numerical correlation change relationship.

[0270] This embodiment does not limit the method for determining the power range of the total input power, as long as the subsequent conditions can be met, that is, among the determined several groups of numerical correlation change relationships, there is a group of specified numerical correlation change relationships. In the determined power range, the total efficiency corresponding to any total input power is not lower than the total efficiency corresponding to the same total input power in other groups of numerical correlation change relationships.

[0271] For this subsequent condition, specifically, a set of specified numerical change relationships in which the total efficiency is continuously higher than or not lower than other sets of numerical associated change relationships can be determined from among the determined several sets of numerical change relationships; or a set of specified numerical change relationships in which the total efficiency is maintained at the highest can be determined from among the determined several sets of numerical change relationships.

[0272] It is also possible that in the determined power range, the total efficiency corresponding to any total input power w1 of the specified numerical correlation change relationship may not be lower than the total efficiency corresponding to the same total input power w1 in other groups of numerical correlation change relationships. It is also possible that in the determined power range, when the total input power is the same, the total efficiency corresponding to the specified numerical correlation change relationship may not be lower than the total efficiency corresponding to other groups of numerical correlation change relationships.

[0273] For other explanations of this embodiment, please refer to the above embodiments.

[0274] For the preset corresponding relationship constructed, when the total input power of the target device cluster is within any preset power range and the number of running devices is the corresponding preset number of devices, the total efficiency may not be lower than the preset efficiency threshold.

[0275] The preset efficiency threshold may vary with different power ranges. This embodiment does not limit the specific method for determining the preset efficiency threshold.

[0276] Optionally, the preset efficiency threshold may be specifically set to be the lowest total efficiency corresponding to other groups of numerical value association change relationships other than the specified numerical value association change relationship in the determined power range.

[0277] Through the conditions satisfied by the power range determined in this embodiment, it can be determined that, for a specified numerical association change relationship, within the determined power range, the corresponding minimum total efficiency may not be lower than the total efficiency corresponding to the same total input power in other groups of numerical association change relationships.

[0278] That is, the minimum total efficiency (corresponding to the specified numerical correlation change relationship in the determined power range) is not lower than the total efficiency (corresponding to the same total input power in other groups of numerical correlation change relationships), and the total efficiency (corresponding to the same total input power in other groups of numerical correlation change relationships) is also not lower than the minimum total efficiency (corresponding to other groups of numerical correlation change relationships in the determined power range).

[0279] Thus, it can be determined that the minimum total efficiency (corresponding to the specified numerical association change relationship in the determined power range) is not lower than the minimum total efficiency (corresponding to the other groups of numerical association change relationships in the determined power range), that is, the minimum total efficiency (corresponding to the specified numerical association change relationship in the determined power range) is not lower than the above-mentioned preset efficiency threshold.

[0280] In other words, the total efficiencies corresponding to the specified numerical correlation change relationship in the determined power range may not be lower than the above-mentioned preset efficiency threshold.

[0281] Of course, the preset efficiency threshold may also be lower than: the lowest total efficiency corresponding to other groups of numerical value association change relationships other than the specified numerical value association change relationship in the determined power range.

[0282] For the preset corresponding relationship constructed in this embodiment, when the total input power of the target device cluster is the same, the total efficiency when the number of running devices is the preset number of devices corresponding to the preset power range of the total input power may not be lower than the total efficiency when the number of running devices is other numbers.

[0283] In another optional embodiment, the method for constructing the preset corresponding relationship may specifically include the following steps:

[0284] Determine the numerical correlation change relationship of the total efficiency of the target device cluster with the change of the total input power when the number of running devices is limited to different values; any numerical correlation change relationship corresponds to the limited number of running devices; different numerical correlation change relationships may correspond to different numbers of running devices;

[0285] Determine any power range of the total input power, so that among the determined groups of numerical value association change relationships, there is a group of specified numerical value association change relationships in the determined power range, and the minimum total efficiency corresponding to the relationship is not lower than the preset efficiency threshold, and in the determined power range, the total efficiency corresponding to any total input power is not lower than the total efficiency corresponding to the same total input power in other groups of numerical value association change relationships;

[0286] Based on the determined power range and the number of operating devices corresponding to the specified numerical correlation change relationship, a set of preset corresponding relationships is constructed.

[0287] 4) The timing of establishing a preset correspondence.

[0288] The method flow does not limit the timing of establishing the preset corresponding relationship.

[0289] Optionally, the preset correspondence may be constructed in real time, specifically, in the process of the present method, when the preset correspondence is needed or before the preset correspondence is needed, the preset correspondence may be constructed in real time; the preset correspondence may also be constructed in advance, specifically, several groups of preset correspondences may be constructed in advance before executing the process of the present method, so as to facilitate the process of the present method to directly determine or obtain the pre-constructed preset correspondence when executing, so as to determine the target quantity.

[0290] Therefore, in the process of this method, S101 may specifically be, for the target device cluster, determining a preset correspondence between a preset power range and a preset number of devices, and based on the determined preset correspondence, determining the preset number of devices corresponding to the preset power range where the current total input power is located as the target number.

[0291] This embodiment does not limit the specific method of determining the preset corresponding relationship. Optionally, the preset corresponding relationship can be constructed in real time, or a pre-constructed preset corresponding relationship can be obtained. The method of constructing the preset corresponding relationship can refer to the above embodiment.

[0292] In an optional embodiment, in combination with the above-mentioned embodiment of the method flow of executing the method in a loop, the preset corresponding relationship can be re-determined during each loop; or the preset corresponding relationship can be determined before the first loop starts.

[0293] Optionally, a preset correspondence between a preset power range and a preset number of devices may be first determined for the target device cluster, and then the following steps may be performed in a loop for the target device cluster: under a preset situation, based on a preset correspondence between the preset power range and the preset number of devices, the preset number of devices corresponding to the preset power range where the current total input power is located is determined as the target number; when it is determined that the current number of running devices in the target device cluster is not equal to the target number, the current number of running devices is adjusted to the target number.

[0294] In addition, optionally, the following steps can be performed in a loop for the target device cluster: under a preset situation, a preset correspondence between a preset power range and a preset number of devices is determined; based on the determined preset correspondence, the preset number of devices corresponding to the preset power range where the current total input power is located is determined as the target number; when it is determined that the current number of running devices in the target device cluster is not equal to the target number, the current number of running devices is adjusted to the target number.

[0295] For detailed explanation, please refer to other embodiments.

[0296] In each cycle, this embodiment does not limit the specific method of determining the preset corresponding relationship. Specifically, the preset corresponding relationship may be reconstructed in each cycle, or the pre-constructed preset corresponding relationship may be re-acquired in each cycle.

[0297] It can be understood that by re-determining the preset corresponding relationship in each cycle, the accuracy and real-time performance of the preset corresponding relationship can be improved.

[0298] In the method of constructing the preset corresponding relationship, a numerical correlation change relationship of the total efficiency changing with the total input power can also be constructed according to the current device information, so that the preset corresponding relationship can be re-determined and updated through each cycle to improve the accuracy and real-time performance of the preset corresponding relationship.

[0299] This embodiment does not limit the execution order of the steps of constructing the preset corresponding relationship and the steps of the method flow, which can be executed in parallel, or the preset corresponding relationship can be constructed first, and then S101 and S102 can be executed.

[0300] Accordingly, this embodiment does not limit the device for establishing the preset corresponding relationship, which may specifically be the main device for executing the process of this method, or other devices.

[0301] In a specific example, it may be another device outside the target device cluster, which builds and stores the updated preset correspondence multiple times. When the method process is executed, it may obtain the latest preset correspondence pre-built by other devices, or it may obtain the latest preset correspondence pre-built from other devices again during each cycle.

[0302] In another specific example, the following steps can also be performed in a loop for the target device cluster: under a preset situation, the preset correspondence between the preset power range and the preset number of devices is reconstructed, and based on the determined preset correspondence, the preset number of devices corresponding to the preset power range where the current total input power is located is determined as the target number; when it is determined that the current number of running devices in the target device cluster is not equal to the target number, the current number of running devices is adjusted to the target number.

[0303] The explanation in this embodiment can refer to other embodiments.

[0304] Therefore, optionally, the method process may further include: in a preset update situation, updating the preset corresponding relationship.

[0305] Correspondingly, based on the preset correspondence between the preset power range and the preset number of devices, the preset number of devices corresponding to the preset power range where the current total input power is located is determined as the target number. Specifically, it can be: based on the current preset correspondence between the preset power range and the preset number of devices, the preset number of devices corresponding to the preset power range where the current total input power is located is determined as the target number.

[0306] Specifically, updating the preset corresponding relationship may be to reconstruct a new preset corresponding relationship, or to reconstruct a new preset corresponding relationship according to current device information of the target device cluster.

[0307] This embodiment can improve the accuracy of the preset corresponding relationship by updating the preset corresponding relationship.

[0308] It should be noted that in the process of reconstructing a new preset corresponding relationship, based on the explanation of the above embodiment, a numerical correlation change relationship in which the total efficiency changes with the total input power can be constructed according to the current device information of the target device cluster, which is used to construct the preset corresponding relationship. Therefore, in the process of reconstruction, the current new device information can be introduced to improve the accuracy and implementation of the numerical correlation change relationship.

[0309] This embodiment does not limit the preset update situation. Optionally, the preset correspondence can be updated periodically, or it can be updated when the device information of the target device cluster changes significantly, specifically, the total degradation degree of the target device cluster is greater than the preset degradation degree threshold, or the total operating time of the target device cluster is greater than the preset operating time threshold, etc.

[0310] Optionally, in a preset update situation, updating the preset corresponding relationship may specifically include: periodically updating the preset corresponding relationship.

[0311] Of course, the preset corresponding relationship may be updated and constructed in each cycle as the method is executed in a loop.

[0312] For ease of understanding, an example of constructing a preset corresponding relationship is given below in conjunction with the accompanying drawings.

[0313] Figure 3 A schematic diagram showing the principle of a method for constructing a preset corresponding relationship according to an embodiment of the present disclosure.

[0314] like Figure 3 As shown, Figure 3 First, the numerical correlation relationship between the total efficiency of the target device cluster and the change of the total input power is constructed when the number of operating devices is limited.

[0315] Among them, the number of operating devices is set to n, the horizontal axis coordinate is constructed based on the total input power, and the vertical axis coordinate is constructed based on the total efficiency. The numerical correlation change relationship of the total efficiency of the target device cluster as the total input power changes when the number of operating devices is limited is constructed.

[0316] Specifically, it is possible to construct numerical correlation change relationships in four cases of n=1, n=2, n=3 and n=4.

[0317] Among them, each numerical value association change relationship corresponds to a limited number of operating devices; different numerical value association change relationships can correspond to different numbers of operating devices.

[0318] Then, the intersection points between the four sets of numerical correlation change relationships can be determined, and P1, P2 and P3 can be selected.

[0319] from Figure 3It can be seen that, when the total input power is the same, the total efficiency corresponding to n=1 is higher on the left side of P1, and the total efficiency corresponding to n=2 is higher between P1 and P2; when the total input power is the same, the total efficiency corresponding to n=2 is higher between P1 and P2, and the total efficiency corresponding to n=3 is higher between P2 and P3; when the total input power is the same, the total efficiency corresponding to n=3 is higher between P2 and P3, and the total efficiency corresponding to n=4 is higher on the right side of P3.

[0320] The total input power value corresponding to P1 is w1; the total input power value corresponding to P2 is w2; and the total input power value corresponding to P3 is w3.

[0321] Accordingly, the power range (w1, w2) of the total input power can be determined, so that among the four groups of numerical correlation change relationships, there is a group of specified numerical correlation change relationships (numerical correlation change relationships corresponding to n=2). In the determined power range (w1, w2), the total efficiency corresponding to any total input power is not lower than the total efficiency corresponding to the same total input power in other groups of numerical correlation change relationships.

[0322] Therefore, a set of preset corresponding relationships can be constructed based on the determined power range (w1, w2) and the number of operating devices n=2 corresponding to the specified numerical correlation change relationship.

[0323] Similarly, the power range (w2, w3) of the total input power can be determined so that among the four groups of numerical correlation change relationships, there is a group of specified numerical correlation change relationships (numerical correlation change relationships corresponding to n=3). In the determined power range (w2, w3), the total efficiency corresponding to any total input power is not lower than the total efficiency corresponding to the same total input power in other groups of numerical correlation change relationships.

[0324] Therefore, a set of preset corresponding relationships can be constructed based on the determined power range (w2, w3) and the number of operating devices n=3 corresponding to the specified numerical correlation change relationship.

[0325] Correspondingly, the preset efficiency threshold η threshold corresponding to the power range (w1, w2) can be specifically set to the lowest total efficiency corresponding to the numerical correlation change relationship corresponding to n=1 in the power range (w1, w2).

[0326] It is understandable that a specific preset efficiency threshold ηthreshold may also be set so as to determine a total efficiency value not less than ηthreshold and a corresponding total input power range. For details, reference may be made to other embodiments.

[0327] 3. S102: When it is determined that the number of currently running devices in the target device cluster is not equal to the target number, the number of currently running devices is adjusted to the target number.

[0328] When the target number is determined, it can be determined that when the current number of running devices is the target number, the probability that the total efficiency is not lower than the preset efficiency threshold is high. Therefore, the number of currently running devices in the target device cluster can be adjusted to the target number.

[0329] In an optional embodiment, after the target number is determined, it may be determined whether the number of currently running devices in the target device cluster is equal to the target number.

[0330] Specifically, during the execution of S102 , it may be first determined whether the number of currently running devices in the target device cluster is equal to the target number, and then the subsequent operations to be performed are determined according to the determination result.

[0331] If the number of currently running devices in the target device cluster is equal to the target number, no operation may be performed, and the method process may be stopped or the next cycle may be waited for. For details, please refer to the explanations of other embodiments.

[0332] If the number of currently running devices in the target device cluster is not equal to the target number, then S102 may be continued to be executed to adjust the number of currently running devices.

[0333] The method flow does not limit the specific way of adjusting the number of currently running devices.

[0334] In an optional embodiment, it can be divided into two situations: reducing the number of currently running devices and increasing the number of currently running devices.

[0335] Optionally, when it is determined that the number of currently running devices in the target device cluster is not equal to the target number, the number of currently running devices is adjusted to the target number, which may be:

[0336] 1) When it is determined that the number of currently running devices in the target device cluster is less than the target number, for the target device cluster, a designated device in the currently non-running devices is controlled to start running until the number of currently running devices is adjusted to the target number.

[0337] 2) When it is determined that the number of currently running devices in the target device cluster is greater than the target number, for the target device cluster, controlling designated devices in the currently running devices to stop running until the number of currently running devices is adjusted to the target number.

[0338] In this embodiment, the number of currently running devices in the target device cluster can be adjusted by controlling the specified device to start running or stop running, thereby improving the speed and efficiency of adjusting the number of currently running devices.

[0339] Accordingly, when controlling the designated device to start running, the designated device may be selected from currently non-running devices in the target device cluster; when controlling the designated device to stop running, the designated device may be selected from currently running devices in the target device cluster.

[0340] This embodiment does not limit the specific method of controlling the designated devices. Optionally, the designated devices may be controlled one by one until the number of currently running devices is adjusted to the target number; or the number of changes to be adjusted may be determined directly based on the number of currently running devices and the target number, and the designated devices of the changed number may be directly controlled to adjust the number of currently running devices to the target number.

[0341] In a specific example, when it is determined that the number of currently running devices in the target device cluster is less than the target number, the following steps are looped for the target device cluster until the number of currently running devices increases to the target number: controlling a single designated device among the currently non-running devices to start running.

[0342] Accordingly, when it is determined that the number of currently running devices in the target device cluster is greater than the target number, the following steps may be looped for the target device cluster until the number of currently running devices is reduced to the target number: controlling a single designated device in the currently running devices to stop running.

[0343] This embodiment does not limit the specific method of determining the designated device, nor does it limit the specific definition of the designated device.

[0344] Optionally, the designated device may be a randomly selected device, a device determined according to a priority, or a device determined according to a preset order.

[0345] In a specific example, when it is determined that the number of currently running devices in the target device cluster is less than the target number, the following steps are looped for the target device cluster until the number of currently running devices increases to the target number: a random device among the currently non-running devices can be controlled to start running; or a device with the highest priority among the currently non-running devices can be controlled to start running.

[0346] In an optional embodiment, the factor of the device degradation degree may be taken into consideration to select the corresponding designated device to stop or start operation.

[0347] Among them, the degree of equipment degradation is usually related to factors such as the number of times the equipment is shut down, the total operating time, and the loss situation.

[0348] In a specific example, for electric hydrogen production equipment, after it starts running, the operation itself will cause certain losses to the equipment, thereby increasing the degree of degradation; and when the electric hydrogen production equipment is shut down, the reverse current during shutdown will destroy the surface morphology of the anode and cathode catalysts and generate irreversible substances with low activity, affecting the energy efficiency of the electric hydrogen production unit, thereby increasing the degree of degradation.

[0349] Therefore, usually when a device is turned on or off, it will cause a certain degree of wear and tear on the device, increasing the degree of degradation.

[0350] In order to facilitate the management of equipment conditions and reduce the differences in degradation levels between different equipment, the consistency and similarity of degradation levels between different equipment can be improved.

[0351] Based on this requirement, when turning on or off a device, devices with relatively small degradation levels can be selected, thereby increasing the degradation levels of these devices and facilitating improving the consistency and similarity of the degradation levels between different devices.

[0352] Therefore, optionally, for the target device cluster, controlling a specified device in the currently non-running devices to start running may be:

[0353] Determine the absolute value of the difference between the current number of running devices and the target number; for the currently non-running devices in the target device cluster, select designated devices whose device number is the determined absolute value of the difference; among the currently non-running devices, the highest degradation degree of the selected designated devices is lower than or equal to the lowest degradation degree of the non-designated devices; control the selected designated devices to start running, specifically, control the selected designated devices to start running until the current number of running devices is adjusted to the target number.

[0354] Accordingly, for the target device cluster, the specified device in the currently running device is controlled to stop running, which can be specifically:

[0355] Determine the absolute value of the difference between the current number of running devices and the target number; for the current running devices in the target device cluster, select designated devices whose number of devices is the determined absolute value of the difference; among the currently running devices, the highest degradation degree of the selected designated devices is lower than or equal to the lowest degradation degree of the non-designated devices; control the selected designated devices to stop running, specifically, control the selected designated devices to stop running until the current number of running devices is adjusted to the target number.

[0356] In this embodiment, the number of currently running devices can be adjusted by selecting a designated device with a relatively small degradation degree to start or stop running, thereby facilitating improving the consistency and similarity of the degradation degrees between different devices.

[0357] This embodiment does not limit the specific method of selecting the designated device, as long as the subsequent conditions can be met. For example, among the currently non-operating devices, the highest degradation degree of the selected designated device is lower than or equal to the lowest degradation degree of the non-designated devices; or among the currently non-operating devices, the highest degradation degree of the selected designated device is not higher than the lowest degradation degree of the non-designated devices; or among the currently operating devices, the highest degradation degree of the selected designated device is lower than or equal to the lowest degradation degree of the non-designated devices.

[0358] Optionally, the currently non-operating devices may be sorted in descending order according to the degradation degree, and the first N devices in the sorting result may be selected as the designated devices. Of course, the currently non-operating devices may also be sorted in descending order according to the degradation degree, and the last N devices in the sorting result may be selected as the designated devices. N may be the absolute value of the difference between the number of currently operating devices and the target number.

[0359] Accordingly, the currently running devices may be sorted in descending order according to the degradation degree, and the first N devices in the sorting result may be selected as the designated devices. Of course, the currently running devices may also be sorted in descending order according to the degradation degree, and the last N devices in the sorting result may be selected as the designated devices. N may be the absolute value of the difference between the number of currently running devices and the target number.

[0360] This embodiment does not limit the specific method of characterizing and determining the degree of degradation.

[0361] Optionally, the degree of degradation can be specifically used to characterize the degree of loss of the equipment, and to characterize the equipment loss caused during the use of the equipment, especially the resulting equipment efficiency loss.

[0362] Optionally, the degree of degradation of the device may be characterized by at least one of the following device information: the number of times the device stops operating, the total operating time of the device, the operating current of the device, the operating efficiency of the device, and the operating voltage of the device, etc.

[0363] For example, the total operating time of the equipment is positively correlated with the degree of degradation; the number of times the equipment stops operating is positively correlated with the degree of degradation.

[0364] In a specific example, the target equipment cluster may be a hydrogen production equipment cluster, and in the hydrogen production equipment, the number of equipment shutdowns, the total equipment operation time, and the average cell voltage may be used to characterize the degree of degradation.

[0365] The degree of degradation may be specifically determined by combining device information, and this embodiment does not limit the specific determination method.

[0366] It is understandable that, optionally, the number of shutdown times or the number of stoppage times of the device can be directly used as the degradation degree. The higher the number of stoppage times of the device, the higher the degradation degree, and the number of stoppage times is positively correlated with the degradation degree.

[0367] Accordingly, for the target device cluster, the specified device in the currently non-operating devices is controlled to start operating, which may be:

[0368] Determine the absolute value of the difference between the number of currently running devices and the target number; for the currently non-running devices in the target device cluster, select the designated devices whose number of devices is the determined absolute value of the difference; among the currently non-running devices, the maximum number of stop times of the selected designated devices is less than or equal to the minimum number of stop times of the non-designated devices; control the selected designated devices to start running.

[0369] Accordingly, for the target device cluster, the specified device in the currently running device is controlled to stop running, which can be specifically:

[0370] Determine the absolute value of the difference between the current number of running devices and the target number; for the current running devices in the target device cluster, select the designated devices whose number of devices is the determined absolute value of the difference; among the current running devices, the maximum number of stop times of the selected designated devices is less than or equal to the minimum number of stop times of non-designated devices; control the selected designated devices to stop running.

[0371] 4. Sub-input power distribution.

[0372] After adjusting the number of currently running devices in the target device cluster, the total input power may be further allocated to the adjusted currently running devices.

[0373] The method flow does not limit the specific power allocation method. Optionally, the total input power can be evenly allocated to each currently running device, or the total input power can be allocated according to the priority of the running device.

[0374] When allocating power specifically, the upper and lower limits of the sub-input power of each operating device may also be considered.

[0375] If the sub-input power is too high, the operating equipment may have a greater operating risk due to various factors. For example, the sub-input power is too high, causing the equipment to heat up or malfunction during operation, which increases the operating risk and may cause explosion or malfunction. Therefore, an upper limit of the sub-input power can be set for the operating equipment to reduce the operating risk of the equipment.

[0376] If the sub-input power is too low, the equipment may be difficult to maintain operation, or the operation risk may be greater due to other reasons. For example, for electric hydrogen production equipment, if the sub-input power is too low, the oxygen impurity content in the generated hydrogen will increase, which will affect the safety of the equipment and the purity of the gas, and there is a risk of equipment explosion. Therefore, the sub-input power lower limit can be set for the operating equipment to reduce the risk of equipment operation.

[0377] In an optional embodiment, a strategy of evenly distributing power may be adopted. Specifically, the method may further include the following steps:

[0378] When the number of currently operating devices is adjusted to the target number, the sub-input power allocated to each currently operating device is adjusted based on a quotient between the current total input power and the target number.

[0379] This embodiment does not limit the specific manner of adjusting the sub-input power based on the quotient value. Optionally, the sub-input power allocated to each currently running device may be adjusted to the quotient value between the current total input power and the target number.

[0380] This embodiment can improve the efficiency of power distribution by evenly distributing the total input power to each operating device.

[0381] It should be noted that, optionally, when it is determined that the number of currently running devices in the target device cluster is equal to the target number, a strategy of evenly distributing power can be further implemented to adjust the sub-input power allocated to each currently running device based on the quotient between the current total input power and the target number.

[0382] In a specific example, the impact of power allocation on overall efficiency may be analyzed.

[0383] For the scenario where n devices are running in the target device cluster, the optimization objectives and power constraints are as follows:

[0384] maxη el (P1,P2,...,P n )

[0385] stP1+P2...+P n =P wind

[0386] P min ≤P i ≤P max ,1≤i≤n (Formula 1)

[0387] Where P wind is the total input power absorbed by the target device cluster.

[0388] P1-P n can be the sub-input power of n running devices, P i It can be the input power of the ith operating device. min It can be the lower input power limit of the operating equipment, P max It can be the upper limit of the input power of the running equipment. el (P1,P2,P3,...,P n ) can be the total efficiency of the target device cluster determined based on the sub-input power of each operating device.

[0389] It can then be assumed that the sub-efficiency-sub-input power characteristic curves of the various operating devices are consistent.

[0390] So we can construct the Lagrangian function:

[0391]

[0392] Among them, F(P1,P2,...,P n ) is the constructed Lagrangian function, and λ is the Lagrangian operator.

[0393] Then there is

[0394]

[0395] when When , the total efficiency of the target equipment cluster can reach an extreme value, that is, when n devices are in operation, the total efficiency reaches the maximum value when the average power distribution among the units is equal to the equal marginal output.

[0396] This can improve the overall efficiency of the target device cluster by evenly distributing the total input power.

[0397] Correspondingly, in the process of constructing the preset corresponding relationship, an average distribution strategy may also be adopted.

[0398] In the process of constructing the preset corresponding relationship, the number of operating devices whose total efficiency is not lower than the preset efficiency threshold is determined based on the average allocation strategy. In the process of actually adjusting the number of operating devices, the probability that the actual total efficiency is not lower than the preset efficiency threshold can be increased because the same number of operating devices and the same average allocation strategy are used.

[0399] 5. Implementation example of the cycle process

[0400] For ease of understanding, the present disclosure also provides an embodiment of a method for cyclically adjusting a device cluster.

[0401] like Figure 4 As shown, Figure 4A flow chart showing another method for adjusting a device cluster according to an embodiment of the present disclosure is shown.

[0402] The method may include the following steps.

[0403] S201: For a target device cluster, under a preset condition, based on a preset correspondence between a preset power range and a preset device quantity, determining a preset device quantity corresponding to a preset power range where a current total input power is located as a target quantity.

[0404] S202: Determine whether the number of currently running devices in the target device cluster is equal to the target number. If the number of currently running devices in the target device cluster is not equal to the target number, execute S203; if the number of currently running devices in the target device cluster is equal to the target number, continue to execute S201.

[0405] S203: Adjust the number of currently running devices to the target number, and continue to execute S201.

[0406] Specifically, continuing to execute S201 may be to wait for a preset period of time and then continue to execute S201, so that periodic cyclic execution can be achieved.

[0407] For a detailed explanation of the preset conditions, please refer to other embodiments.

[0408] When the total input power of the target device cluster is within any preset power range and the number of running devices is the corresponding preset number of devices, the total efficiency may not be lower than the preset efficiency threshold.

[0409] In addition, optionally, in S203, specifically: adjusting the number of currently running devices to the target number; when adjusting the number of currently running devices to the target number, adjusting the sub-input power allocated to each currently running device based on the quotient between the current total input power and the target number.

[0410] Optionally, in S201, specifically: for the target device cluster, under a preset situation, determine a preset correspondence between a preset power range and a preset number of devices, and based on the determined preset correspondence, determine the preset number of devices corresponding to the preset power range where the current total input power is located as the target number.

[0411] Optionally, in S201, specifically: for the target device cluster, under preset circumstances, reconstruct the preset correspondence between the preset power range and the preset number of devices, and based on the determined preset correspondence, determine the preset number of devices corresponding to the preset power range where the current total input power is located as the target number.

[0412] For a detailed explanation of the process of this method, reference can be made to the explanations of other embodiments.

[0413] In an optional embodiment, the above method processes S101 and S102 may be executed periodically. Accordingly, the step of constructing a preset corresponding relationship may be executed in a cyclic process, and the step of allocating input power may also be executed in a cyclic process.

[0414] This embodiment does not limit the specific looping method of the looping process, nor does it limit the steps of constructing a preset corresponding relationship and other steps in the looping process. The specific explanation of this embodiment can be found in other embodiments.

[0415] It is understandable that different implementations of these steps in other embodiments may be combined with each other. A specific example is given below.

[0416] Optionally, for the target device cluster, based on a preset correspondence between a preset power range and a preset number of devices, a preset number of devices corresponding to a preset power range in which the current total input power is located is determined as a target number; when it is determined that the number of currently running devices in the target device cluster is not equal to the target number, the number of currently running devices is adjusted to the target number, which may be specifically:

[0417] For the target device cluster, perform the following steps periodically:

[0418] Determine the numerical correlation change relationship of the total efficiency of the target device cluster with the change of the total input power when the number of running devices is limited to different numbers; any numerical correlation change relationship corresponds to the limited number of running devices;

[0419] Based on the total input power values ​​corresponding to the intersections between different groups of numerical correlation change relationships, determine any power range of the total input power, so that among the determined groups of numerical correlation change relationships, there is a group of specified numerical correlation change relationships in which, within the determined power range, the total efficiency corresponding to any total input power is not lower than the total efficiency corresponding to the same total input power in other groups of numerical correlation change relationships;

[0420] Based on the determined power range and the number of running devices corresponding to the specified numerical correlation change relationship, a set of preset corresponding relationships is constructed;

[0421] Based on the preset corresponding relationship between the preset power range and the preset number of devices, the preset number of devices corresponding to the preset power range where the current total input power is located is determined as the target number;

[0422] When it is determined that the number of currently running devices in the target device cluster is not equal to the target number, adjusting the number of currently running devices to the target number;

[0423] When the number of currently operating devices is adjusted to the target number, the sub-input power allocated to each currently operating device is adjusted based on a quotient between the current total input power and the target number.

[0424] The present embodiment does not limit the periodic cycle mode. Optionally, the steps in the cycle process may be executed every preset cycle time, or the next cycle may be executed after the previous cycle ends and the preset cycle time has passed.

[0425] This embodiment also does not limit the specific method of determining the power range. Specifically, for different groups of determined numerical value association change relationships, two total input power values ​​are selected from the total input power values ​​corresponding to the intersections between different groups of numerical value association change relationships to determine the power range that meets the above-mentioned corresponding conditions.

[0426] For details, please refer to Figure 3 , (w1, w2) is determined as the power range of the total input power, and the corresponding number of running devices can be 2. Figure 3 It can be seen that in (w1, w2), the total efficiency of the numerical correlation variation relationship corresponding to n=2 is continuously higher than or equal to the total efficiency of other numerical correlation variation relationships under the same total input power.

[0427] For the specific explanation in this embodiment, reference can be made to other embodiments and will not be repeated here.

[0428] 6. Wind power hydrogen production scenario.

[0429] For ease of understanding, the present disclosure also provides an embodiment of a method for adjusting a device cluster in a specific application scenario.

[0430] Specifically, in the scenario of wind power supply, adjustments can be made to the cluster of electric hydrogen production equipment.

[0431] like Figure 5 As shown, Figure 5 A flow chart showing another method for adjusting a device cluster according to an embodiment of the present disclosure is shown.

[0432] The method may include the following steps.

[0433] S301: For a wind power-powered hydrogen production equipment cluster, based on a preset correspondence between a preset power range and a preset number of equipment, a preset number of equipment corresponding to a preset power range where a current total wind power input power is located is determined as a target number.

[0434] S302: When it is determined that the number of currently operating devices in the electric hydrogen production device cluster is not equal to the target number, the number of currently operating devices is adjusted to the target number.

[0435] Among them, when the total wind power input power of the hydrogen production equipment cluster is within any preset power range and the number of operating equipment is the corresponding preset number of equipment, the total efficiency is not lower than the preset efficiency threshold.

[0436] The wind power supply scenario is characterized by volatility, that is, the total wind power input power is characterized by volatility. In this way, we can adapt to the fluctuating total wind power input power. Based on the current total wind power input power, we can adaptively adjust the number of currently operating equipment to adapt to the current total wind power input power and improve the stability of the overall efficiency.

[0437] Optionally, when it is determined that the number of currently operating devices in the electric hydrogen production device cluster is not equal to the target number, the number of currently operating devices is adjusted to the target number, which may be:

[0438] When it is determined that the number of currently operating devices in the electric hydrogen production equipment cluster is less than the target number, for the electric hydrogen production equipment cluster, controlling a designated device in the currently non-operating devices to start operating until the number of currently operating devices is adjusted to the target number;

[0439] When it is determined that the number of currently operating devices in the electric hydrogen production equipment cluster is greater than the target number, for the electric hydrogen production equipment cluster, designated devices in the currently operating devices are controlled to stop operating until the number of currently operating devices is adjusted to the target number.

[0440] Optionally, for the electric hydrogen production equipment cluster, a specified device among the currently non-operating devices is controlled to start operating, specifically:

[0441] Determine the absolute value of the difference between the number of currently operating equipment and the target number; for the currently non-operating equipment in the electric hydrogen production equipment cluster, select designated equipment whose equipment number is the determined absolute value of the difference; among the currently non-operating equipment, the highest degradation degree of the selected designated equipment is lower than or equal to the lowest degradation degree of the non-designated equipment; control the selected designated equipment to start operation.

[0442] Optionally, for the electric hydrogen production equipment cluster, a specified device in the currently running equipment is controlled to stop running, specifically, it may be:

[0443] Determine the absolute value of the difference between the current number of operating equipment and the target number; for the current operating equipment in the electric hydrogen production equipment cluster, select designated equipment whose equipment number is the determined absolute value of the difference; among the currently operating equipment, the highest degradation degree of the selected designated equipment is lower than or equal to the lowest degradation degree of the non-designated equipment; control the selected designated equipment to stop operating.

[0444] Optionally, for the electric hydrogen production equipment cluster, based on a preset correspondence between a preset power range and a preset number of equipment, a preset number of equipment corresponding to a preset power range where the current total wind power input power is located is determined as a target number; when it is determined that the current number of operating equipment in the electric hydrogen production equipment cluster is not equal to the target number, the current number of operating equipment is adjusted to the target number, which may be specifically:

[0445] For the electric hydrogen production equipment cluster, the following steps are executed cyclically: under preset circumstances, based on the preset correspondence between the preset power range and the preset number of equipment, the preset number of equipment corresponding to the preset power range where the current total wind power input power is located is determined as the target number; when it is determined that the current number of operating equipment in the electric hydrogen production equipment cluster is not equal to the target number, the current number of operating equipment is adjusted to the target number.

[0446] The preset conditions may include at least one of the following:

[0447] 1) The current moment meets the preset periodicity requirements.

[0448] 2) The absolute value of the current rate of change of the total input power is greater than a preset rate of change threshold.

[0449] 3) The absolute value of the current total input power change is greater than the preset change threshold.

[0450] Optionally, the above method may further include the following steps:

[0451] When the number of currently operating devices is adjusted to the target number, the sub-input power allocated to each currently operating device is adjusted based on the quotient between the current total wind power input power and the target number.

[0452] Optionally, the method flow may further include the following steps: in a preset update situation, updating the preset corresponding relationship.

[0453] Optionally, based on a preset corresponding relationship between a preset power range and a preset number of devices, the preset number of devices corresponding to the preset power range where the current total wind power input power is located is determined as the target number, which may specifically be:

[0454] Based on the current preset corresponding relationship between the preset power range and the preset number of devices, the preset number of devices corresponding to the preset power range where the current total wind power input power is located is determined as the target number.

[0455] Optionally, the preset corresponding relationship may be constructed in the following manner:

[0456] Determine the numerical correlation change relationship of the total efficiency of the electric hydrogen production equipment cluster with the change of the total wind power input power when the number of operating equipment is limited to different numbers; any numerical correlation change relationship corresponds to the limited number of operating equipment;

[0457] Determine any power range of the total wind power input power, so that among the determined groups of numerical correlation change relationships, there is at least one group of numerical correlation change relationships in the determined power range, and the minimum total efficiency corresponding to the relationship is not less than a preset efficiency threshold;

[0458] Filter out a set of numerical value association change relationships from at least one set of existing numerical value association change relationships;

[0459] Based on the determined power range and the number of operating devices corresponding to the screened numerical correlation change relationship, a set of preset corresponding relationships is constructed.

[0460] Optionally, the preset corresponding relationship may be constructed in the following manner:

[0461] Determine the numerical correlation change relationship of the total efficiency of the electric hydrogen production equipment cluster with the change of the total wind power input power when the number of operating equipment is limited to different numbers; any numerical correlation change relationship corresponds to the limited number of operating equipment;

[0462] Determine any power range of the total wind power input power, so that among the determined groups of numerical correlation change relationships, there is a group of specified numerical correlation change relationships. In the determined power range, the total efficiency corresponding to any wind power total input power is not lower than the total efficiency corresponding to the same wind power total input power in other groups of numerical correlation change relationships;

[0463] Based on the determined power range and the number of operating devices corresponding to the specified numerical correlation change relationship, a set of preset corresponding relationships is constructed.

[0464] Optionally, when the total wind power input power is the same, the total efficiency of the electric hydrogen production equipment cluster when the number of operating equipment is a preset number of equipment corresponding to the preset power range of the total wind power input power is not lower than the total efficiency when the number of operating equipment is other numbers.

[0465] The specific explanation of the process of this method can be found in other embodiments.

[0466] 7. Application examples

[0467] For ease of understanding, the present disclosure also provides an application embodiment.

[0468] 1. Background.

[0469] In wind power off-grid hydrogen production projects, the capacity of the electrolyzer as a hydrogen production unit is generally within a few megawatts, while large-scale wind farms are often as high as hundreds of megawatts. It is necessary to form a cluster of multiple hydrogen production units to meet the demand. The hydrogen production unit cluster needs to allocate power among the various devices to optimize the system energy efficiency and alleviate the unevenness caused by the different start-stop times (specifically, the number of shutdown times or the number of stoppages).

[0470] The power allocation strategies in existing research include day-ahead optimization decisions based on solving optimization functions and real-time optimization decisions based on operation strategies.

[0471] In the power allocation strategy, the day-ahead optimization decision needs to obtain accurate power forecast data for a long period of time. In the scenario of off-grid wind power, the power of the hydrogen production unit is the output power of the wind turbine. Due to the high volatility of wind power output, it is impossible to obtain accurate power forecast data for a long time. Therefore, the day-ahead optimization decision is not suitable for off-grid hydrogen production scenarios. Although the real-time optimization decision based on the operation strategy has improved the system energy efficiency and unit degradation uniformity compared with the simple power allocation strategies such as step-by-step power allocation and average allocation, it fails to fully consider the impact of the efficiency characteristics of different types of units on the power allocation strategy, and therefore fails to achieve the optimal energy efficiency and degradation uniformity.

[0472] This embodiment proposes an adaptive power allocation strategy for an off-grid wind power hydrogen production cluster taking into account unit degradation.

[0473] 2. Introduction to power allocation strategy.

[0474] The formulation of the power optimization allocation strategy for the hydrogen production cluster involves three core issues: how to select the order of arranging the start and stop of the units, how to reasonably allocate power among the operating hydrogen production units, and how to determine the optimal number of operating units. The following embodiment will discuss these three issues respectively and provide a set of executable adaptive power allocation strategies for hydrogen production clusters.

[0475] 2.1. Arrangement of unit start and stop sequence based on priority queue method.

[0476] The reverse current during the shutdown of the alkaline hydrogen production unit will destroy the surface morphology of the anode and cathode catalysts and generate irreversible substances with low activity, affecting the energy efficiency of the hydrogen production unit.

[0477] In the scenario of off-grid hydrogen production using wind power, the alkaline hydrogen production unit cluster needs to be started and stopped frequently to absorb the fluctuating wind power. If the hydrogen production cluster lacks reasonable start and stop control, it will cause large differences in the number of start and stop times between different devices, thereby leading to large differences in the degree of degradation.

[0478] To address this problem, this embodiment proposes a multi-stack start-stop control technology based on a priority queue method, which sets the start-stop priority of the unit according to the number of start-stop times, thereby achieving consistency in the degradation degree of each device in a scenario where multiple stacks are frequently started and stopped.

[0479] The start and stop control function of the priority queue method is as follows:

[0480]

[0481] Among them, D i is the number of shutdowns of the i-th hydrogen production unit (it can be the number of shutdowns or the number of shutdowns).

[0482] The cluster of hydrogen production units can be regarded as a collection of multiple elements. The number of starts and stops of each device is used as the weight for adding or deleting elements. Whenever the number of running devices changes, the device with the smallest number of starts and stops is given priority.

[0483] In the scenario where the start and stop units are selected using the priority queue method, the difference in the shutdown times of different units in the hydrogen production unit cluster usually does not exceed 1.

[0484] In particular, the indicator for determining the priority queue can also be replaced by other indicators that can characterize the degree of degradation as needed, such as the total operating time of the hydrogen production unit, the average cell voltage, etc.

[0485] 2.2. Power averaging allocation strategy.

[0486] The power allocation strategy proposed in this embodiment aims to achieve the optimal total energy efficiency of the alkaline hydrogen production unit cluster. In addition, the cluster must also meet the power range constraint and the total power absorption constraint. For the scenario where n hydrogen production units are in operation in the cluster, the optimization target and power constraint are shown in the above formula (1). wind is the wind turbine output power absorbed by the equipment cluster. Since the priority queue method is used to select the units to be started and stopped in the cluster, the difference in the number of shutdowns between units does not exceed 1. Therefore, the impact of degradation on each unit in the cluster is small, and it can be assumed that the efficiency-power characteristic curves of each unit are consistent.

[0487] Construct the Lagrangian function, see formula (2) above. It can be deduced as above: when n devices are running, the total energy efficiency of the cluster can approach the maximum value when the power distribution between units is equal to the equal marginal output.

[0488] 2.3. Optimal number of operating units.

[0489] The same power distribution strategy is used. However, the number of running devices in the cluster is different, and the total energy efficiency corresponding to different fan powers is different. Therefore, it is necessary to determine the optimal number of running devices corresponding to different fan powers based on the total energy efficiency of the device cluster.

[0490] like Figure 6 As shown, Figure 6 A schematic diagram showing the changing relationship between total input power and total energy efficiency under different numbers of operating devices according to an embodiment of the present disclosure.

[0491] Can be obtained from Figure 6 As can be seen from the figure, as the total input power required to be absorbed increases, the optimal number of equipment in operation also increases. The critical power P when the optimal number of equipment in operation increases from n to n+1 wind，n+1 for

[0492]

[0493] P1-P n They may be the sub-input powers of n running devices when the number of running devices is n.

[0494] P'1-P' n+1 They may be the sub-input powers of n+1 running devices when the number of running devices is n+1.

[0495] Therefore, each power critical point is related to the energy efficiency curve of the hydrogen production unit. After the equipment cluster is put into operation, the power critical point can be determined based on the number of equipment and the equipment energy efficiency curve. Taking into account the impact of unit degradation on the efficiency curve, it is necessary to update the efficiency curve according to the number of unit starts and stops at regular intervals, and then update the power critical point, so that in actual operation, the optimal number of operating units corresponding to different wind turbine powers can be determined according to the power critical point.

[0496] The power critical point may be the total input power corresponding to the intersection of energy efficiency curves of different devices. Specifically, the total input power value that satisfies the above formula 3 may be selected from the total input power corresponding to the intersection of energy efficiency curves of different devices.

[0497] It can be understood that the energy efficiency curve of the electric hydrogen production unit can be the numerical correlation change relationship in the above embodiment, and the power critical point can be the total input power value corresponding to the intersection of different groups of numerical correlation change relationships. Specifically, it can be selected from the total input power values ​​corresponding to the intersection of different groups of numerical correlation change relationships to determine the total input power value that can satisfy the above formula 3.

[0498] 2.4. Adaptive power allocation strategy execution process.

[0499] The execution process of the power optimization allocation solution proposed in this embodiment is as follows: Figure 7 As shown, Figure 7 A flow chart showing an adaptive power allocation strategy execution process according to an embodiment of the present disclosure.

[0500] The process may include the following steps:

[0501] S401: Calculate the efficiency curve η of each unit in the cluster el (P,N shut ).

[0502] S402: Calculate the critical power set {P wind，i}.

[0503] S403: Input real-time fan power P wind (t).

[0504] S404: Determine the optimal number of operating devices n(t) so that P wind,n ≤P wind (t)≤P wind,n+1 .

[0505] S405: Determine the change quantity of the operating equipment Δn=n(t)-n(t-Δt).

[0506] S406: If Δn=0, execute S408; if Δn≠0, execute S407.

[0507] S407: Start or stop |Δn| devices with the minimum start and stop times, until the number of currently running devices reaches the current optimal number of running devices n(t).

[0508] S408: The n(t) devices in operation are all The power is turned on and after a time period of Δt has passed, S401 is continued.

[0509] η el (P,N shut ) is the efficiency curve of a single unit, where P is the sub-input power of the unit, N shut The number of unit shutdowns.

[0510] P wind，i is the critical power at which the number of optimal equipment in operation increases from i-1 to i.

[0511] P wind (t) is the real-time wind turbine power at the current time t.

[0512] n(t) is the optimal number of running devices at the current time t.

[0513] n(t-Δt) is the optimal number of operating devices at time (t-Δt).

[0514] It is understandable that the fan power range P in S404 wind,n ≤P wind (t)≤P wind,n+1 , can be equivalent to the preset power range of the total input power in the above method embodiment, and accordingly, the optimal number of operating devices n(t) can be equivalent to the preset number of devices in the above method embodiment. In other words, P wind,n ≤P wind (t)≤P wind,n+1 and n(t) belong to the same set of preset correspondences.

[0515] The critical power can be the power critical point mentioned above, and specifically can be the total input power value corresponding to the intersection of the relationship between the value association changes of different groups. For details, please refer to Figure 3 The w1, w2 and w3 in the above may be boundary points of the preset power range. For a more specific explanation, please refer to the explanation of the power critical point above. The power range formed by these boundary points may correspond to the optimal number of operating devices, so that a preset corresponding relationship can be constructed.

[0516] Among them, a real-time monitoring method can be used to calculate the efficiency characteristics of each unit according to the number of unit starts and stops and the unit structure and material parameters, and then calculate the critical power point according to the efficiency characteristic curve, and obtain the current fan power P every Δt period. wind , the optimal number of operating equipment is calculated based on the critical power. If the number of operating equipment has changed compared to the previous moment, the equipment with the minimum start and stop times is turned on or off, and the start and stop times of each unit are updated. The operating equipment operates at the same power to achieve equal marginal output.

[0517] As for the unit efficiency curve, it can be determined by constructing an alkaline hydrogen production unit model.

[0518] The alkaline water electrolysis hydrogen production unit converts electricity into hydrogen and oxygen. A device consists of multiple electrolysis chambers connected in series. The electrolysis voltage of the chamber increases with the increase of input current. In this model, the degradation caused by the reverse current of the shutdown unit device can be considered. This degradation is modeled as resistive degradation. The expression of the voltage of the alkaline hydrogen production chamber is as follows

[0519]

[0520] Among them, U el is the electrolysis voltage of a single chamber, U rev is the reversible voltage of water electrolysis, η 1000 The electrolysis current density is 1000A / m 2The activation overvoltage at η is the degradation rate of the activation overpotential of the electrode catalyst during continuous operation, T is the operation time of the hydrogen production unit, b is the Tafel slope of the electrode catalyst, I is the input current of the hydrogen production unit, S is the electrode area, r mem is the diaphragm surface resistance, α r is the resistive degradation coefficient, N shut The number of unit shutdowns.

[0521] Voltage efficiency η of electric hydrogen production device U Defined as the thermal neutral voltage U for water electrolysis tn With the cell electrolysis voltage U el ratio.

[0522]

[0523] During the electrolysis process, due to the potential difference between the positive and negative electrodes, a part of the input current flows along the alkali solution of the liquid supply manifold and does not participate in the electrolysis reaction. This is the leakage current of the hydrogen production unit, and its expression is as follows:

[0524]

[0525] Among them, I shunt is the leakage current of the hydrogen production unit, R m is the resistance of the alkali solution in the single-chamber manifold. The existence of leakage current causes the loss of current efficiency.

[0526]

[0527] Among them, η I is the current efficiency, which represents the ratio of actual hydrogen production to theoretical hydrogen production. The electrolysis current can determine the amount of hydrogen produced.

[0528] The total energy efficiency η of the hydrogen production device el It can be the voltage efficiency η U and current efficiency η I The product of

[0529] η el =η U ·η I

[0530] Generally speaking, an increase in power means lower voltage efficiency and higher current efficiency. The changing trends of the two are as follows: Figure 8 As shown, Figure 8 A schematic diagram showing the changing relationship between input power and energy efficiency of a single operating device according to an embodiment of the present disclosure.

[0531] The total energy efficiency η is the product of the two elThe trend with power does not necessarily depend on the extent to which voltage efficiency and current efficiency vary with power.

[0532] When the current efficiency changes greatly, the total energy efficiency increases with the increase of power; when the current efficiency changes slightly, the total energy efficiency decreases with the increase of power; when the degree of change of current efficiency with power is between the two, the change trend of total energy efficiency is as follows: Figure 8 shown.

[0533] In the low power range, the total energy efficiency is greatly affected by the current efficiency. The increase in current efficiency outweighs the decrease in voltage efficiency. Therefore, the total energy efficiency increases with the increase in power.

[0534] However, in the high power range, the increase in current efficiency is greatly reduced, and the total energy efficiency is greatly affected by the voltage efficiency, which decreases with the increase of power. The degradation caused by the unit has two aspects on the efficiency of the hydrogen production unit: on the one hand, the degradation increases the cell voltage and reduces the voltage efficiency; on the other hand, under the same input current, the increased cell voltage due to degradation increases the leakage current, thereby reducing the current efficiency of the unit.

[0535] There are also certain limitations on the efficiency of alkaline hydrogen production units. Alkaline hydrogen production units use porous diaphragms to isolate the hydrogen and oxygen sides, but the gases on both sides will still diffuse through the diaphragm, and the diffusion amount has nothing to do with the power of the hydrogen production unit. When the hydrogen production unit is running at high power, the gas production is large and the gas diffusion accounts for a small proportion. However, when the hydrogen production unit is running at low power, the proportion of gas diffusion through the diaphragm in the gas production increases, thereby increasing the oxygen impurity content in hydrogen (OTH) and the hydrogen impurity content in oxygen (HTO), affecting equipment safety and gas purity. Therefore, there is a lower limit to the operating power of the alkaline hydrogen production unit. In addition, there is also an upper limit to the operating power of the alkaline hydrogen production unit to avoid excessive heat generation in the electrolyzer and degradation of the catalyst on the electrode under high overpotential.

[0536] P min ≤P≤P max

[0537] Among them, P min is the lower limit of the operating power of the hydrogen production unit, P max It is the upper limit of the operating power of the hydrogen production unit.

[0538] The total energy efficiency calculation formula of a cluster of multiple alkaline hydrogen production units is:

[0539]

[0540] Among them, η el (P1,P2,...,P n ) is the total energy efficiency of the device cluster, P1, P2, …, Pn is the power of each alkaline hydrogen production unit. el (P1),η el (P2),...η el (P n ), is the energy efficiency of each alkaline hydrogen production unit.

[0541] 3. Technical effect.

[0542] Wind power output has obvious volatility and intermittency. The units in the hydrogen production cluster need to be started and stopped frequently to cope with the fluctuations in wind power output in off-grid scenarios.

[0543] Different power allocation strategies will lead to different energy efficiency and degradation consistency of the hydrogen production cluster, which is reflected in the difference between the total hydrogen production of the hydrogen production cluster and the start-stop times of each unit.

[0544] In a simulation example, under different power allocation strategies, the total hydrogen production of the five hydrogen production units in the hydrogen production cluster during one month of operation and the full-load voltage at the final moment (set to the same current density for easy comparison) are listed in the table below.

[0545] Table 1. Comparison of different power allocation strategies

[0546] Power Allocation Strategy Step-by-step allocation Even distribution Adaptive power allocation Unit 1 full load cell voltage / V 2.151 2.126 2.184 Unit 2 full load room voltage / V 2.261 2.126 2.184 Unit 3 full load room voltage / V 2.241 2.126 2.184 Unit 4 full load room voltage / V 2.164 2.126 2.184 Unit 5 full load room voltage / V 2.090 2.126 2.184 Total hydrogen production / t 20460 20907 21340

[0547] It can be seen from Table 1 that, in terms of the full-load voltage of each unit in the cluster, the adaptive power allocation strategy based on the priority queue method to arrange the start-stop order and the average allocation strategy proposed in this embodiment can achieve the same full-load voltage of each unit, that is, the number of starts and stops of each unit during operation is the same, and the degree of degradation is the same. In contrast, the step-by-step allocation strategy has a large difference in the full-load voltage of each unit in the cluster. The cell voltage of Unit 2, which is the most severely degraded, is 0.17V higher than that of Unit 5, which is the least degraded, at the full-load level, resulting in a difference of about 11.5% in energy efficiency. As the operating time accumulates, this difference caused by different degrees of degradation will continue to accumulate and amplify, seriously affecting the overall life of the electric hydrogen cluster.

[0548] In terms of total hydrogen production, there are certain differences among different power allocation strategies. Although the hierarchical allocation strategy has a wider power absorption range than the average allocation strategy, the system energy efficiency of the hierarchical allocation strategy in the high-power section is not as good as that of the average allocation strategy. Moreover, under the hierarchical allocation strategy, the start and stop of each unit in the cluster are more frequent, and the degradation is more serious. Therefore, the total hydrogen production corresponding to the hierarchical allocation strategy is slightly lower than that under the average allocation strategy, which is 2.2% lower than the latter.

[0549] Compared with the average allocation method, the adaptive power allocation method has more frequent unit start and stop to achieve a wider power absorption range and more efficient system energy efficiency. Therefore, in this embodiment, the unit full load voltage representing the degree of degradation is 58mV greater than the average allocation strategy. From the perspective of total hydrogen production, the improvement in energy efficiency brought by the adaptive power allocation strategy through flexible start and stop exceeds the loss caused by degradation. Its total hydrogen production is 2.1% higher than the total hydrogen production of the unit cluster operating under the average allocation strategy, and 4.2% higher than the step-by-step allocation strategy.

[0550] It should be noted that, although an embodiment of an adjustment method for a device cluster is introduced above by taking an off-grid wind power hydrogen production scenario as an example, those skilled in the art will appreciate that the present disclosure should not be limited thereto.

[0551] The present disclosure also provides an apparatus embodiment corresponding to the above method embodiment.

[0552] like Fig. 9 As shown, Fig. 9 A structural diagram of an adjustment device for a device cluster according to an embodiment of the present disclosure is shown. The device may include: a determination unit 501, configured to determine, for a target device cluster, a preset number of devices corresponding to a preset power range where the current total input power is located as a target number based on a preset correspondence between a preset power range and a preset number of devices.

[0553] The quantity adjustment unit 502 is configured to adjust the current number of running devices to the target number when it is determined that the current number of running devices in the target device cluster is not equal to the target number.

[0554] Among them, when the total input power of the target device cluster is within any preset power range and the number of running devices is the corresponding preset number of devices, the total efficiency is not lower than the preset efficiency threshold.

[0555] Optionally, the quantity adjustment unit 502 is specifically used to: when it is determined that the number of currently running devices in the target device cluster is less than the target number, for the target device cluster, control specified devices in the currently non-running devices to start running until the number of currently running devices is adjusted to the target number; when it is determined that the number of currently running devices in the target device cluster is more than the target number, for the target device cluster, control specified devices in the currently running devices to stop running until the number of currently running devices is adjusted to the target number.

[0556] Optionally, the quantity adjustment unit 502 is specifically used to: determine an absolute value of a difference between the number of currently running devices and the target number; for currently non-running devices in the target device cluster, select designated devices whose number of devices is the determined absolute value of the difference; among the currently non-running devices, the highest degradation degree of the selected designated devices is lower than or equal to the lowest degradation degree of the non-designated devices; and control the selected designated devices to start running;

[0557] Determine the absolute value of the difference between the current number of running devices and the target number; for the current running devices in the target device cluster, select designated devices whose number of devices is the determined absolute value of the difference; among the currently running devices, the highest degradation degree of the selected designated devices is lower than or equal to the lowest degradation degree of non-designated devices; control the selected designated devices to stop running.

[0558] Optionally, the determination unit 501 can be specifically used to: for a target device cluster, loop the following steps: under a preset situation, based on a preset correspondence between a preset power range and a preset number of devices, determine the preset number of devices corresponding to the preset power range where the current total input power is located as the target number; trigger the quantity adjustment unit 502 to execute corresponding steps.

[0559] Optionally, the preset situation includes at least one of the following: the situation where the preset periodicity requirement is met at the current moment; the situation where the absolute value of the change rate of the current total input power is greater than the preset change rate threshold; the situation where the absolute value of the change amount of the current total input power is greater than the preset change amount threshold.

[0560] Optionally, the apparatus may further include a power allocation unit 503, configured to adjust the sub-input power allocated to each currently operating device based on a quotient between the current total input power and the target number when the number of currently operating devices is adjusted to the target number.

[0561] Optionally, the device may also include an updating unit 504, which is used to: update the preset correspondence under a preset update situation; the determination unit 501 is specifically used to: based on the current preset correspondence between the preset power range and the preset number of devices, determine the preset number of devices corresponding to the preset power range where the current total input power is located as the target number.

[0562] Optionally, the method for constructing the preset corresponding relationship includes: respectively determining the numerical correlation change relationship of the total efficiency of the target device cluster as the total input power changes when different numbers of operating devices are limited; any numerical correlation change relationship corresponds to the limited number of operating devices; determining any power range of the total input power, so that among the determined groups of numerical correlation change relationships, there is at least one group of numerical correlation change relationships whose corresponding minimum total efficiency in the determined power range is not lower than a preset efficiency threshold; selecting a group of numerical correlation change relationships from at least one group of numerical correlation change relationships; and constructing a group of preset corresponding relationships based on the determined power range and the number of operating devices corresponding to the selected numerical correlation change relationship.

[0563] Optionally, the method for constructing the preset corresponding relationship includes: respectively determining the numerical correlation change relationship of the total efficiency of the target device cluster as the total input power changes when the number of running devices is limited to different numbers; any numerical correlation change relationship corresponds to the limited number of running devices; determining any power range of the total input power, so that among the determined groups of numerical correlation change relationships, there is a group of specified numerical correlation change relationships. In the determined power range, the total efficiency corresponding to any total input power is not lower than the total efficiency corresponding to the same total input power in other groups of numerical correlation change relationships; based on the determined power range and the number of running devices corresponding to the specified numerical correlation change relationship, a group of preset corresponding relationships is constructed. Optionally, when the total input power of the target device cluster is the same, the total efficiency when the number of running devices is the preset number of devices corresponding to the preset power range where the total input power is located is not lower than the total efficiency when the number of running devices is other numbers.

[0564] Optionally, the determining unit 501 is specifically configured to:

[0565] For the target device cluster, perform the following steps periodically:

[0566] Determine the numerical correlation change relationship of the total efficiency of the target device cluster with the change of the total input power when the number of running devices is limited to different numbers; any numerical correlation change relationship corresponds to the limited number of running devices;

[0567] Based on the total input power values ​​corresponding to the intersections between different groups of numerical correlation change relationships, determine any power range of the total input power, so that among the determined groups of numerical correlation change relationships, there is a group of specified numerical correlation change relationships in which, within the determined power range, the total efficiency corresponding to any total input power is not lower than the total efficiency corresponding to the same total input power in other groups of numerical correlation change relationships;

[0568] Based on the determined power range and the number of operating devices corresponding to the specified numerical correlation change relationship, a set of preset corresponding relationships is constructed; based on the preset corresponding relationship between the constructed preset power range and the preset number of devices, the preset number of devices corresponding to the preset power range where the current total input power is located is determined as the target number; the trigger quantity adjustment unit 502 executes the corresponding steps; the trigger power allocation unit 503 executes the corresponding steps.

[0569] The explanation of the embodiment of this device can refer to other embodiments.

[0570] In some embodiments, the functions or modules included in the device provided by the embodiments of the present disclosure can be used to execute the method described in the above method embodiments. The specific implementation can refer to the description of the above method embodiments, and for the sake of brevity, it will not be repeated here.

[0571] The embodiment of the present disclosure also provides a computer-readable storage medium on which computer program instructions are stored, and when the computer program instructions are executed by a processor, any of the above method embodiments is implemented. The computer-readable storage medium can be a volatile or non-volatile computer-readable storage medium.

[0572] An embodiment of the present disclosure further proposes an electronic device, comprising: a processor; and a memory for storing instructions executable by the processor; wherein the processor is configured to implement any of the above method embodiments when executing the instructions stored in the memory.

[0573] The embodiments of the present disclosure also provide a computer program product, including a computer-readable code, or a non-volatile computer-readable storage medium carrying the computer-readable code. When the computer-readable code runs in a processor of an electronic device, the processor in the electronic device executes any of the above method embodiments.

[0574] Fig.10 1 is a block diagram of an apparatus 1900 for implementing an adjustment method of a device cluster according to an exemplary embodiment. For example, the apparatus 1900 may be provided as a server or a terminal device. Fig.10 , the apparatus 1900 includes a processing component 1922, which further includes one or more processors, and a memory resource represented by a memory 1932 for storing instructions, such as an application, that can be executed by the processing component 1922. The application stored in the memory 1932 may include one or more modules, each corresponding to a set of instructions. In addition, the processing component 1922 is configured to execute instructions to perform the above method.

[0575] The device 1900 may also include a power supply component 1926 configured to perform power management of the device 1900, a wired or wireless network interface 1950 configured to connect the device 1900 to a network, and an input / output interface 1958 (I / O interface). The device 1900 may operate based on an operating system stored in the memory 1932, such as Windows Server 2000. TM , MacOS X TM , Unix TM ,Linux TM , FreeBSD TM or similar.

[0576] In an exemplary embodiment, a non-volatile computer-readable storage medium is also provided, such as a memory 1932 including computer program instructions, which can be executed by the processing component 1922 of the device 1900 to perform the above method.

[0577] The present disclosure may be a system, a method and / or a computer program product. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for causing a processor to implement various aspects of the present disclosure.

[0578] The flow chart and block diagram in the accompanying drawings show the possible architecture, function and operation of the system, method and computer program product according to multiple embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a part of a module, program segment or instruction, and a part of the module, program segment or instruction includes one or more executable instructions for realizing the specified logical function. In some alternative implementations, the function marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two continuous square boxes can actually be executed substantially in parallel, and they can sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs the specified function or action, or can be implemented with a combination of special hardware and computer instructions.

[0579] The embodiments of the present disclosure have been described above, and the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and changes will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The selection of terms used herein is intended to best explain the principles of the embodiments, practical applications, or technical improvements in the market, or to enable other persons of ordinary skill in the art to understand the embodiments disclosed herein.

Claims

1. A method for adjusting a device cluster, characterized in that: include: For the target device cluster, based on a preset correspondence between a preset power range and a preset number of devices, the preset number of devices corresponding to the preset power range where the current total input power is located is determined as the target number; When it is determined that the number of currently running devices in the target device cluster is not equal to the target number, adjusting the number of currently running devices to the target number; Wherein, when the total input power of the target device cluster is within any preset power range and the number of running devices is the corresponding preset number of devices, the total efficiency is not lower than the preset efficiency threshold.

2. The method according to claim 1, characterized in that When it is determined that the number of currently running devices in the target device cluster is not equal to the target number, adjusting the number of currently running devices to the target number includes: In the case where it is determined that the number of currently running devices in the target device cluster is less than the target number, determine the absolute value of the difference between the currently running number of devices and the target number; for the currently non-running devices in the target device cluster, select designated devices whose number of devices is the determined absolute value of the difference; among the currently non-running devices, the highest degradation degree of the selected designated devices is lower than or equal to the lowest degradation degree of the non-designated devices; control the selected designated devices to start running until the number of currently running devices is adjusted to the target number; When it is determined that the number of currently running devices in the target device cluster is more than the target number, the absolute value of the difference between the current number of running devices and the target number is determined; for the currently running devices in the target device cluster, designated devices whose number of devices is the determined absolute value of the difference are selected; among the currently running devices, the highest degradation degree of the selected designated devices is lower than or equal to the lowest degradation degree of non-designated devices; and the selected designated devices are controlled to stop running until the current number of running devices is adjusted to the target number.

3. The method according to claim 1, characterized in that For the target device cluster, based on a preset correspondence between a preset power range and a preset number of devices, the preset number of devices corresponding to the preset power range where the current total input power is located is determined as the target number; When it is determined that the number of currently running devices in the target device cluster is not equal to the target number, adjusting the number of currently running devices to the target number includes: For the target device cluster, the following steps are executed cyclically: under a preset condition, based on a preset correspondence between a preset power range and a preset number of devices, the preset number of devices corresponding to the preset power range where the current total input power is located is determined as the target number; When it is determined that the number of currently running devices in the target device cluster is not equal to the target number, adjusting the number of currently running devices to the target number; The preset conditions include at least one of the following: The current moment meets the preset periodicity requirements; The absolute value of the change rate of the current total input power is greater than the preset change rate threshold; The absolute value of the current total input power change is greater than the preset change threshold.

4. The method according to claim 1, characterized in that: Also includes: When the number of currently operating devices is adjusted to the target number, the sub-input power allocated to each currently operating device is adjusted based on a quotient between the current total input power and the target number.

5. The method according to claim 1 or 3, characterized in that: Also includes: In case of preset update, updating the preset corresponding relationship; The step of determining the preset number of devices corresponding to the preset power range where the current total input power is located as the target number based on the preset corresponding relationship between the preset power range and the preset number of devices includes: Based on the current preset corresponding relationship between the preset power range and the preset number of devices, the preset number of devices corresponding to the preset power range where the current total input power is located is determined as the target number.

6. The method according to claim 1, characterized in that The method of constructing the preset corresponding relationship includes: Determine the numerical correlation change relationship of the total efficiency of the target device cluster with the change of the total input power when the number of running devices is limited to different numbers; any numerical correlation change relationship corresponds to the limited number of running devices; Determine any power range of the total input power, so that among the determined groups of numerical value association change relationships, there is at least one group of numerical value association change relationships in the determined power range, and the minimum total efficiency corresponding to the relationship is not less than a preset efficiency threshold; Filtering out a group of numerical value association change relationships from the at least one group of numerical value association change relationships; Based on the determined power range and the number of operating devices corresponding to the screened numerical correlation change relationship, a set of preset corresponding relationships is constructed.

7. The method according to claim 1, characterized in that The method of constructing the preset corresponding relationship includes: Determine the numerical correlation change relationship of the total efficiency of the target device cluster with the change of the total input power when the number of running devices is limited to different numbers; any numerical correlation change relationship corresponds to the limited number of running devices; Determine any power range of the total input power, so that among the determined sets of numerical correlation change relationships, there exists a set of specified numerical correlation change relationships, in which the total efficiency corresponding to any total input power in the determined power range is not lower than the total efficiency corresponding to the same total input power in other sets of numerical correlation change relationships; Based on the determined power range and the number of operating devices corresponding to the specified numerical value association change relationship, a set of preset corresponding relationships is constructed.

8. The method according to claim 1, characterized in that When the total input power of the target device cluster is the same, the total efficiency when the number of running devices is a preset number of devices corresponding to the preset power range where the total input power is located is not lower than the total efficiency when the number of running devices is other numbers.

9. The method according to claim 1, characterized in that: For the target device cluster, based on a preset correspondence between a preset power range and a preset number of devices, the preset number of devices corresponding to the preset power range where the current total input power is located is determined as the target number; When it is determined that the number of currently running devices in the target device cluster is not equal to the target number, adjusting the number of currently running devices to the target number includes: For the target device cluster, perform the following steps periodically: Determine the numerical correlation change relationship of the total efficiency of the target device cluster with the change of the total input power when the number of running devices is limited to different numbers; any numerical correlation change relationship corresponds to the limited number of running devices; Based on the total input power values ​​corresponding to the intersections between different groups of numerical correlation change relationships, determine any power range of the total input power, so that among the determined groups of numerical correlation change relationships, there is a group of specified numerical correlation change relationships in which, within the determined power range, the total efficiency corresponding to any total input power is not lower than the total efficiency corresponding to the same total input power in other groups of numerical correlation change relationships; Based on the determined power range and the number of operating devices corresponding to the specified numerical value association change relationship, a set of preset corresponding relationships is constructed; Based on the preset corresponding relationship between the preset power range and the preset number of devices, the preset number of devices corresponding to the preset power range where the current total input power is located is determined as the target number; When it is determined that the number of currently running devices in the target device cluster is not equal to the target number, adjusting the number of currently running devices to the target number; When the number of currently operating devices is adjusted to the target number, the sub-input power allocated to each currently operating device is adjusted based on a quotient between the current total input power and the target number.

10. A method for adjusting a device cluster, characterized in that: include: For the wind power-powered hydrogen production equipment cluster, based on the preset correspondence between the preset power range and the preset equipment quantity, the preset equipment quantity corresponding to the preset power range where the current total wind power input power is located is determined as the target quantity; When it is determined that the number of currently operating devices in the electric hydrogen production equipment cluster is not equal to the target number, adjusting the number of currently operating devices to the target number; Among them, when the total wind power input power of the hydrogen production equipment cluster is within any preset power range and the number of operating equipment is the corresponding preset number of equipment, the total efficiency is not lower than the preset efficiency threshold.

11. An adjustment device for a device cluster, characterized in that: include: A determination unit, configured to determine, for the target device cluster, a preset number of devices corresponding to a preset power range where the current total input power is located as a target number based on a preset correspondence between the preset power range and the preset number of devices; a quantity adjustment unit, configured to adjust the number of currently running devices to the target number when it is determined that the number of currently running devices in the target device cluster is not equal to the target number; Wherein, when the total input power of the target device cluster is within any preset power range and the number of running devices is the corresponding preset number of devices, the total efficiency is not lower than the preset efficiency threshold.

12. An electronic device, characterized in that: include: processor; a memory for storing processor-executable instructions; Wherein, the processor is configured to implement the method described in any one of claims 1 to 10 when executing the instructions stored in the memory.

13. A non-volatile computer-readable storage medium having computer program instructions stored thereon, characterized in that: When the computer program instructions are executed by a processor, the method according to any one of claims 1 to 10 is implemented.

14. A computer program product, comprising a computer-readable code, or a non-volatile computer-readable storage medium carrying the computer-readable code, wherein when the computer-readable code is executed in a processor of an electronic device, the processor in the electronic device executes the method according to any one of claims 1 to 10.

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