Allocation method and device for operation mode of electrolytic cell, storage medium, electronic device and computer program product

Abstract

The invention discloses an electrolytic bath operation mode distribution method and device, a storage medium, an electronic device and a computer program product, and relates to the field of wind power generation, and the electrolytic bath operation mode distribution method comprises the steps that a first number and a second number are determined according to predicted generated power data of a wind driven generator in a target time period, the first number is the number of the electrolytic cells running in the fluctuating power mode within the target time period in the N electrolytic cells, the second number is the number of the electrolytic cells running in the under-power mode within the target time period in the N electrolytic cells, and the power of the electrolytic cells running in the fluctuating power mode is not fixed; the power of the electrolytic tank during operation in the under-power mode is smaller than the corresponding rated power; and in the target time period, F electrolytic cells of the N electrolytic cells are indicated to operate in a fluctuating power mode, U electrolytic cells of the N electrolytic cells are indicated to operate in an under-power mode, and N-F-U electrolytic cells of the N electrolytic cells are indicated to operate in a rated power mode.

Description

Technical Field

[0001] The present application relates to the field of wind power generation, and more specifically, to a method and device for allocating electrolytic cell operation modes, a storage medium, an electronic device, and a computer program product. Background Art

[0002] As an important part of renewable energy, wind turbines can generate electricity that can be converted into chemical energy and stored by electrolyzers. However, wind power is an intermittent energy source, and its power fluctuation characteristics pose challenges to the efficiency and equipment life of water electrolysis hydrogen production systems. At present, electrolyzers are usually operated in a fixed mode with a fixed number of electrolyzers, resulting in uneven life of electrolyzers in the electrolyzer array, which is insufficient in balancing power fluctuations, extending electrolyzer life, and improving system safety.

[0003] With respect to the problem of low operating efficiency of electrolytic cell arrays in the related art, no effective solution has been proposed so far.

[0004] Therefore, it is necessary to improve the related technology to overcome the above-mentioned defects in the related technology. Summary of the invention

[0005] The embodiments of the present application provide a method and device for allocating electrolytic cell operating modes, a storage medium, an electronic device, and a computer program product to at least solve the problem of low operating efficiency of an electrolytic cell array.

[0006] According to one aspect of an embodiment of the present application, a method for allocating electrolyzer operating modes is provided, comprising: determining a first quantity and a second quantity based on predicted power generation data of a wind turbine within a target time period, wherein the first quantity is the number of electrolyzers among N electrolyzers operating in a fluctuating power mode within the target time period, and the second quantity is the number of electrolyzers among N electrolyzers operating in an underpower mode within the target time period, wherein the power of the electrolyzers when operating in the fluctuating power mode is not fixed, and the power of the electrolyzers when operating in the underpower mode is less than the corresponding rated power, and N is an integer greater than or equal to 2; indicating that among the N electrolyzers, F electrolyzers are operating in the fluctuating power mode, U electrolyzers are operating in the underpower mode, and NFU electrolyzers are operating in the rated power mode within the target time period, wherein F is equal to the first quantity, and U is equal to the second quantity.

[0007] In an exemplary embodiment, determining a first quantity and a second quantity based on predicted power generation data of a wind turbine within a target time period includes: acquiring predicted power generation data of the wind turbine within the target time period, and the maximum operating power, rated power, and minimum operating power of the electrolyzer, wherein the predicted power generation data includes: predicted maximum wind power generation power, and predicted minimum wind power generation power; determining the first quantity based on the predicted maximum wind power generation power, the predicted minimum wind power generation power, the maximum operating power, and the minimum operating power; determining the second quantity based on the predicted maximum wind power generation power, the predicted minimum wind power generation power, the maximum operating power, the rated power, the minimum operating power, and the first quantity.

[0008] In an exemplary embodiment, determining the first quantity according to the predicted maximum wind power generation power, the predicted minimum wind power generation power, the maximum operating power, and the minimum operating power includes: determining the first quantity by the following formula: Among them, P wind,max is the predicted maximum wind power generation power, P wind,min is the predicted minimum wind power generation power, P el,max is the maximum operating power, P el,min is the minimum operating power.

[0009] In an exemplary embodiment, determining the second quantity according to the predicted maximum wind power generation power, the predicted minimum wind power generation power, the maximum operating power, the rated power, the minimum operating power and the first quantity includes: determining the total power of the electrolyzers in the underpower mode among the N electrolyzers in the target time period according to the predicted maximum wind power generation power, the predicted minimum wind power generation power, the maximum operating power of the electrolyzer, the rated power, the minimum operating power and the first quantity; determining the second quantity by the following formula: Among them, v c is the sum of the powers of the electrolytic cells in the underpower mode among the N electrolytic cells in the target time period, P el,nom is the rated power, P el,min is the minimum operating power.

[0010] In an exemplary embodiment, determining the sum of the powers of the electrolyzers in the underpower mode among the N electrolyzers in the target time period according to the predicted maximum wind power generation, the predicted minimum wind power generation, the maximum operating power of the electrolyzer, the rated power, the minimum operating power and the first number includes: determining the maximum power of the electrolyzer converting the electric energy of the wind turbine generator by the following formula: in, is the maximum power of the electrolyzer to convert the electric energy of the wind turbine, P el,max is the maximum operating power, P el,nom is the rated power; and the minimum power of the electrolyzer to convert the electric energy of the wind turbine is determined by the following formula: in, is the minimum power of the electrolyzer to convert the electric energy of the wind turbine, P el,min is the minimum operating power; and the sum of the powers of the electrolytic cells in the underpower mode among the N electrolytic cells in the target time period is determined by the following formula: Among them, P wind,max is the predicted maximum wind power generation power, P wind,min is the predicted minimum wind power generation power.

[0011] In an exemplary embodiment, the method further includes: when the wind turbine operates within multiple target time periods, instructing each of the N electrolyzers to operate in the under-power mode for an equal length of time, operate in the fluctuating power mode for an equal length of time, and operate in the rated power mode for an equal length of time during the multiple target time periods.

[0012] According to another aspect of an embodiment of the present application, a device for allocating electrolyzer operating modes is also provided, including: a determination module, used to determine a first quantity and a second quantity based on predicted power generation data of a wind turbine within a target time period, wherein the first quantity is the number of electrolyzers among N electrolyzers operating in a fluctuating power mode within the target time period, and the second quantity is the number of electrolyzers among N electrolyzers operating in an underpower mode within the target time period, wherein the power of the electrolyzers when operating in the fluctuating power mode is not fixed, and the power of the electrolyzers when operating in the underpower mode is less than the corresponding rated power, and N is an integer greater than or equal to 2; an indication module, used to indicate that among the N electrolyzers, F electrolyzers are operating in the fluctuating power mode, U electrolyzers are operating in the underpower mode, and NFU electrolyzers are operating in the rated power mode within the target time period, wherein F is equal to the first quantity, and U is equal to the second quantity.

[0013] According to another aspect of the embodiment of the present application, a computer-readable storage medium is also provided, wherein the computer-readable storage medium includes a stored program, wherein the program is configured to execute the above-mentioned method for allocating the electrolytic cell operating mode when running.

[0014] According to another aspect of an embodiment of the present application, there is also provided an electronic device, comprising a memory and a processor, wherein the memory stores a computer program, wherein the processor is configured to execute the above-mentioned method for allocating the electrolytic cell operating mode through the computer program.

[0015] According to another aspect of the embodiment of the present application, a computer program product is also provided, including a computer program, and when the computer program is executed by a processor, the above-mentioned method for allocating the operating mode of the electrolytic cell is implemented.

[0016] In the present application, according to the preset power generation of the wind turbine in the target time period, the first number of electrolyzers operating in the fluctuating power mode and the second number of electrolyzers operating in the underpower mode are determined in the target time period, thereby indicating that the first number of N electrolyzers operate in the fluctuating power mode, the second number of electrolyzers operate in the underpower mode, and the remaining electrolyzers operate in the rated power mode in the target time period. Since the number of electrolyzers in different modes is allocated according to the preset power generation of the wind turbine, the overall operating efficiency of the electrolyzer array is improved, thereby solving the problem of low operating efficiency of the electrolyzer array. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0018] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0019] Figure 1 It is a hardware structure block diagram of a mobile terminal of a method for allocating electrolytic cell operation modes according to an embodiment of the present application;

[0020] Figure 2 is a flow chart of a method for allocating electrolytic cell operation modes according to an embodiment of the present application;

[0021] Figure 3 is a schematic diagram of a rotation of an optional electrolytic cell operation mode according to an embodiment of the present application;

[0022] Figure 4 It is a structural block diagram of a distribution device for an electrolytic cell operation mode according to an embodiment of the present application. DETAILED DESCRIPTION

[0023] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0024] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0025] The method embodiments provided in the embodiments of the present application can be executed in a mobile terminal, a computer terminal or a similar computing device. Taking running on a mobile terminal as an example, Figure 1 1 is a hardware structure block diagram of a mobile terminal of a method for allocating an electrolytic cell operation mode according to an embodiment of the present application. Figure 1 As shown, the mobile terminal may include one or more ( Figure 1 Only one is shown in the figure) a processor 102 (the processor 102 may include but is not limited to a processing device such as a microprocessor (MP) or a programmable logic device (FPGA)) and a memory 104 for storing data, wherein the mobile terminal may also include a transmission device 106 and an input / output device 108 for communication functions. It can be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the mobile terminal. Figure 1 More or fewer components as shown, or with Figure 1 Different configurations are shown.

[0026] The memory 104 can be used to store computer programs, for example, software programs and modules of application software, such as the computer program corresponding to the method for distributing the electrolytic cell operation mode in the embodiment of the present application. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, that is, to implement the above method. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories may be connected to the mobile terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof.

[0027] The transmission device 106 is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of the mobile terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, referred to as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 can be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0028] In order to solve the above problems, a method for allocating electrolytic cell operation modes is provided in this embodiment, including but not limited to being applied to the above mobile terminal. Figure 2 is a flow chart of a method for allocating electrolytic cell operation modes according to an embodiment of the present application, such as Figure 2 As shown, the process includes the following steps S202-S204:

[0029] Step S202: determining a first quantity and a second quantity according to the predicted power generation data of the wind turbine in the target time period, wherein the first quantity is the number of electrolyzers operating in the fluctuating power mode in the target time period among the N electrolyzers, and the second quantity is the number of electrolyzers operating in the underpower mode in the target time period among the N electrolyzers, wherein the power of the electrolyzers when operating in the fluctuating power mode is not fixed, and the power of the electrolyzers when operating in the underpower mode is less than the corresponding rated power, and N is an integer greater than or equal to 2;

[0030] Optionally, the execution subject of the present application is a distribution system for an electrolytic cell operation mode.

[0031] Optionally, in step S202, the system determines the number of electrolyzers operating in fluctuating power mode and under-power mode by analyzing the predicted power generation data of the wind turbines in the target time period, thereby planning the operating status of the electrolyzers in advance.

[0032] It should be noted that the electrolyzer in the fluctuating power mode can dynamically adjust its power to adapt to changes in the power supply. Specifically, when the output power of wind power generation is higher than expected or the rated power of the electrolyzer, the electrolyzer can increase power input to absorb excess power and avoid power waste. On the contrary, when the output power of wind power generation is lower than expected or the rated power of the electrolyzer, the electrolyzer can reduce power input to adapt to the reduction in power supply and avoid unstable or interrupted operation of the electrolyzer due to insufficient power.

[0033] It should be noted that in under-power mode, the operating power of the electrolyzer is lower than its rated power, which helps to reduce the power demand of the entire system when the wind power generation is insufficient, while avoiding the risk of equipment overload.

[0034] Step S204: Indicate that, among the N electrolytic cells, F electrolytic cells are operating in the fluctuating power mode, U electrolytic cells are operating in the under-power mode, and NFU electrolytic cells are operating in the rated power mode within the target time period, wherein F is equal to the first number and U is equal to the second number.

[0035] It should be noted that by precisely controlling the working mode of the electrolyzer, we can effectively cope with the volatility of wind power generation, improve the overall operating efficiency of the water electrolysis hydrogen production system, and promote the larger-scale application of renewable energy.

[0036] It should be noted that through the above steps, the working mode of the electrolytic cell is optimized, the efficient use of electricity resources is ensured, the operation of the electrolytic cell is finely managed, unnecessary energy consumption and equipment maintenance costs are reduced, and the operating cost of the entire system is reduced.

[0037] In the above steps, according to the preset power generation of the wind turbine in the target time period, the first number of electrolyzers operating in the fluctuating power mode and the second number of electrolyzers operating in the underpower mode are determined in the target time period, thereby indicating that the first number of N electrolyzers operate in the fluctuating power mode, the second number of electrolyzers operate in the underpower mode, and the remaining electrolyzers operate in the rated power mode in the target time period. Since the number of electrolyzers in different modes is allocated according to the preset power generation of the wind turbine, the overall operating efficiency of the electrolyzer array is improved, thereby solving the problem of low operating efficiency of the electrolyzer array.

[0038] In an exemplary embodiment, determining the first quantity and the second quantity according to the predicted power generation data of the wind turbine in the target time period can be achieved by the following steps S11-S13:

[0039] Step S11: obtaining predicted power generation data of the wind turbine generator within the target time period, as well as the maximum operating power, rated power and minimum operating power of the electrolyzer, wherein the predicted power generation data includes: predicted maximum wind power generation power, and predicted minimum wind power generation power;

[0040] Optionally, through wind power prediction technology (such as physical model prediction, statistical model prediction, artificial intelligence and deep learning prediction methods, etc.), the predicted power generation data of the wind turbine in the target time period is obtained, and the predicted power generation data includes predicting the maximum power generation and minimum power generation of the wind turbine in the target time period, that is, predicting the maximum power of wind power generation, and predicting the minimum power of wind power generation. At the same time, the key power parameters of the electrolyzer are obtained, including the maximum operating power, rated power and minimum operating power. These data provide a basis for the calculation of subsequent steps, helping the system understand the fluctuation range of wind power and the power range that the electrolyzer can handle.

[0041] Step S12: determining the first quantity according to the predicted maximum wind power generation power, the predicted minimum wind power generation power, the maximum operating power and the minimum operating power;

[0042] It should be noted that, by determining the first number F, the system can accurately determine the number of electrolyzers in the fluctuating power mode to absorb these fluctuations when wind power generation fluctuates, thereby avoiding waste of electricity or system instability.

[0043] Step S13: determining the second quantity according to the predicted maximum wind power generation power, the predicted minimum wind power generation power, the maximum operating power, the rated power, the minimum operating power and the first quantity.

[0044] Optionally, the first number F determined in step S12 is used in combination with the predicted maximum power and minimum power of the wind turbine, and the maximum power, rated power and minimum operating power of the electrolyzer to determine the number of electrolyzers that need to operate in underpower mode (second number U).

[0045] It should be noted that the above steps accurately calculate the number of electrolyzers in the fluctuating power mode and the under-power mode, so that the water electrolysis hydrogen production system can respond to the fluctuation of wind power more accurately, realize the intelligent allocation of power resources among electrolyzers, and ensure that each electrolyzer can operate under the optimal power conditions, thereby improving the resource utilization efficiency of the entire water electrolysis hydrogen production system and reducing power waste. In addition, by dynamically adjusting the working state of the electrolyzer, the fatigue and wear of the equipment are reduced, and the service life of the electrolyzer is extended.

[0046] In an exemplary embodiment, determining the first quantity according to the predicted maximum wind power generation, the predicted minimum wind power generation, the maximum operating power, and the minimum operating power may be achieved by the following steps: determining the first quantity by the following formula:

[0047]

[0048] Among them, P wind,max is the predicted maximum wind power generation power, P wind,min is the predicted minimum wind power generation power, P el,max is the maximum operating power, P el,min is the minimum operating power.

[0049] Optionally, the number of electrolytic cells that need to operate in fluctuating power mode during the target time period can be calculated based on the difference between the predicted maximum wind power generation power and the predicted minimum wind power generation power of the wind turbine during the target time period, and the difference between the maximum operating power and the minimum operating power of the electrolytic cell.

[0050] It should be noted that this step can accurately calculate the number of electrolyzers that need to be operated in the fluctuating power mode, ensuring that the entire electrolyzer array (including N electrolyzers) can effectively respond to the power changes of wind power, balance the supply and demand of the power grid by adjusting the working state of the electrolyzer, and improve the stability of the power system. In addition, by operating the electrolyzer in the fluctuating power mode, the electrolyzer can be prevented from operating under extreme power conditions for a long time, reducing the stress and loss of the equipment and extending the service life of the electrolyzer.

[0051] In an exemplary embodiment, determining the second quantity according to the predicted maximum wind power generation, the predicted minimum wind power generation, the maximum operating power, the rated power, the minimum operating power and the first quantity can be achieved by the following steps S21-S22:

[0052] Step S21: determining the total power of the electrolyzers in the underpower mode among the N electrolyzers in the target time period according to the predicted maximum wind power generation, the predicted minimum wind power generation, the maximum operating power of the electrolyzer, the rated power, the minimum operating power and the first number;

[0053] It should be noted that, through step S21, the total power of the electrolyzers in the underpower mode among the N electrolyzers in the target time period can be calculated, so that when it is determined that the F electrolyzers are operating in the fluctuating power mode, it is accurately evaluated how many electrolyzers are required to operate in the underpower mode to match the actual wind power output, ensuring that the system does not waste resources due to excess power.

[0054] Step S22: Determine the second quantity by the following formula:

[0055]

[0056] Among them, v c is the sum of the powers of the electrolytic cells in the underpower mode among the N electrolytic cells in the target time period, P el,nom is the rated power, P el,min is the minimum operating power.

[0057] Optionally, the operating power of the electrolyzer operating in the under-power mode during the target time period can be determined by the following formula:

[0058] P el,u =P el,nom -v c / U;

[0059] Among them, P el,u is the operating power of the electrolyzer operating in under-power mode during the target time period.

[0060] It should be noted that the above steps achieve efficient matching between the power demand of the electrolyzer array and the actual output of wind power by accurately calculating the total power and number of electrolyzers in underpower mode, thus reducing power waste. In addition, electrolyzers operating in underpower mode avoid frequent start and stop of electrolyzers under low power conditions, reduce equipment fatigue and wear, and help extend the service life of electrolyzers.

[0061] In an exemplary embodiment, determining the total power of the electrolyzers in the underpower mode among the N electrolyzers in the target time period according to the predicted maximum wind power generation, the predicted minimum wind power generation, the maximum operating power of the electrolyzer, the rated power, the minimum operating power and the first number can be achieved by the following steps S31 to S33:

[0062] Step S31: Determine the maximum power of the electrolyzer converting the electric energy of the wind turbine generator by the following formula:

[0063]

[0064] in, is the maximum power of the electrolyzer to convert the electric energy of the wind turbine, P el,max is the maximum operating power, P el,nom is the rated power;

[0065] Step S32: Determine the minimum power of the electrolyzer for converting the electric energy of the wind turbine generator by the following formula:

[0066]

[0067] in, is the minimum power of the electrolyzer to convert the electric energy of the wind turbine, P el,min is the minimum operating power;

[0068] Step S33: Determine the total power of the electrolytic cells in the underpower mode among the N electrolytic cells in the target time period by the following formula:

[0069]

[0070] Among them, P wind,max is the predicted maximum wind power generation power, P wind,min is the predicted minimum wind power generation power.

[0071] It should be noted that steps S31 to S33 calculate the total power of the N electrolytic cells in the under-power mode within the target time period, so as to determine the exact number of electrolytic cells operating in the under-power mode within the target time period, thereby realizing dynamic power adjustment of the electrolytic cell array under wind power fluctuation conditions.

[0072] In an exemplary embodiment, the method further includes the following steps: when the wind turbine operates within multiple target time periods, instructing each of the N electrolyzers to operate in the under-power mode for an equal period of time, operate in the fluctuating power mode for an equal period of time, and operate in the rated power mode for an equal period of time during the multiple target time periods.

[0073] Optionally, assuming that the target time is T, the multiple target time periods are T1, T2, and T3, each target time period is 1 hour, N is 6, and the 6 electrolytic cells are numbered 1, 2, 3, 4, 5, and 6; in the target time period T1, F is 3, U is 2, and NFU is 1; in the target time period T2, F is 2, U is 1, and NFU is 3; in the target time period T3, F is 1, U is 3, and NFU is 2, then:

[0074] In T1, it is indicated that electrolytic cells No. 1, No. 2, and No. 3 operate in the fluctuating power mode, electrolytic cells No. 4 and No. 5 operate in the underpower mode, and electrolytic cell No. 6 operates in the rated power mode; in T2, it is indicated that electrolytic cells No. 4 and No. 5 operate in the fluctuating power mode, electrolytic cell No. 6 operates in the underpower mode, and electrolytic cells No. 1, No. 2, and No. 3 operate in the rated power mode; in T3, it is indicated that electrolytic cell No. 6 operates in the fluctuating power mode, electrolytic cells No. 1, No. 2, and No. 3 operate in the underpower mode, and electrolytic cells No. 4 and No. 5 operate in the rated power mode;

[0075] It should be noted that, through the above allocation, each of electrolytic cells No. 1, No. 2, No. 3, No. 4, No. 5, and No. 6 has been operated in the fluctuating power mode, under-power mode, and rated power mode for 1 hour respectively, and the degree of loss of each electrolytic cell tends to be the same, and the service life tends to be the same.

[0076] It should be noted that the above steps, by balancing the operating time of each electrolyzer in different modes, can avoid excessive wear of individual electrolyzers due to long-term high power or high fluctuation state, ensure the balanced workload of each electrolyzer in the electrolyzer array, avoid performance degradation or failure of a single electrolyzer due to excessive use, enhance the overall reliability and maintenance efficiency of the system, and thus extend the overall service life of the electrolyzer. In addition, through intelligent scheduling, the system can respond more effectively to the actual output of wind power, make full use of renewable energy, reduce dependence on traditional energy, and promote the application and development of green energy.

[0077] Obviously, the above-described embodiments are only embodiments of a part of the present invention, rather than all embodiments. In order to better understand the above method, the above process is described below in conjunction with embodiments, but it is not intended to limit the technical solutions of the embodiments of the present invention, specifically:

[0078] 1. Classification of electrolytic cell working modes:

[0079] The working states of the electrolyzer are divided into three types, including rated power mode, that is, the electrolyzer operates at rated power; fluctuating power mode, that is, the electrolyzer operates in a fluctuating manner to absorb wind power fluctuations; and under-power mode, the electrolyzer operates at less than rated power to reduce power allocation.

[0080] 2. Calculate the number of electrolytic cells in fluctuating operation:

[0081]

[0082] 3. Power distribution of underpowered electrolyzer:

[0083] The maximum power that the electrolyzer can absorb is:

[0084]

[0085] The minimum power that can be absorbed is:

[0086]

[0087] Determine the number of electrolyzers and operating power for underpower mode.

[0088]

[0089] P el,u =P el,nom -v c / U.

[0090] 4. Electrolytic cell array rotation control:

[0091] refer to Figure 3 , the electrolyzers are numbered, and the electrolyzers are arranged to operate in different working states according to the maximum and minimum wind power output in each forecast period. After the electrolyzer in the current state has been running for a period of time (T), the operating state of the previous electrolyzer will be transferred to the next electrolyzer, that is, the working state of electrolyzer No. 1 is transferred to electrolyzer No. 2, and the operating state of electrolyzer No. 2 is transferred to electrolyzer No. 3, and so on, so that the operating time of the electrolyzer in various operating states tends to be the same.

[0092] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods of each embodiment of the present application.

[0093] In this embodiment, a distribution device for an electrolyzer operating mode is also provided, which is used to implement the above-mentioned embodiments and preferred embodiments, and will not be repeated for what has been described. As used below, the term "module" can implement a combination of software and / or hardware for a predetermined function. Although the equipment described in the following embodiments is preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceived.

[0094] Figure 4 : is a structural block diagram of a distribution device of an electrolytic cell operation mode according to an embodiment of the present application, the device comprising:

[0095] A determination module 402 is used to determine a first quantity and a second quantity according to the predicted power generation data of the wind turbine in a target time period, wherein the first quantity is the number of electrolyzers operating in a fluctuating power mode in the target time period among the N electrolyzers, and the second quantity is the number of electrolyzers operating in an underpower mode in the target time period among the N electrolyzers, wherein the power of the electrolyzers when operating in the fluctuating power mode is not fixed, and the power of the electrolyzers when operating in the underpower mode is less than the corresponding rated power, and N is an integer greater than or equal to 2;

[0096] The indication module 404 is used to indicate that among the N electrolytic cells, F electrolytic cells are operating in the fluctuating power mode, U electrolytic cells are operating in the under-power mode, and NFU electrolytic cells are operating in the rated power mode within the target time period, wherein F is equal to the first number and U is equal to the second number.

[0097] The above device determines the first number of electrolyzers operating in the fluctuating power mode and the second number of electrolyzers operating in the underpower mode in the target time period according to the preset power generation of the wind turbine in the target time period, thereby indicating that the first number of N electrolyzers operate in the fluctuating power mode, the second number of electrolyzers operate in the underpower mode, and the remaining electrolyzers operate in the rated power mode in the target time period. Since the number of electrolyzers in different modes is allocated according to the preset power generation of the wind turbine, the overall operating efficiency of the electrolyzer array is improved, thereby solving the problem of low operating efficiency of the electrolyzer array.

[0098] In an exemplary embodiment, the determination module 402 is also used to obtain the predicted power generation data of the wind turbine within the target time period, and the maximum operating power, rated power and minimum operating power of the electrolyzer, wherein the predicted power generation data includes: predicted maximum wind power generation, and predicted minimum wind power generation; determining the first quantity based on the predicted maximum wind power generation, the predicted minimum wind power generation, the maximum operating power and the minimum operating power; determining the second quantity based on the predicted maximum wind power generation, the predicted minimum wind power generation, the maximum operating power, the rated power, the minimum operating power and the first quantity.

[0099] In an exemplary embodiment, the determination module 402 is further configured to determine the first quantity by using the following formula: Among them, P wind,max is the predicted maximum wind power generation power, P wind,min is the predicted minimum wind power generation power, P el,max is the maximum operating power, P el,min is the minimum operating power.

[0100] In an exemplary embodiment, the determination module 402 is further configured to determine the total power of the electrolyzers in the underpower mode among the N electrolyzers in the target time period according to the predicted maximum wind power generation, the predicted minimum wind power generation, the maximum operating power of the electrolyzer, the rated power, the minimum operating power and the first quantity; and determine the second quantity by the following formula: Among them, v c is the sum of the powers of the electrolytic cells in the underpower mode among the N electrolytic cells in the target time period, P el,nom is the rated power, P el,min is the minimum operating power.

[0101] In an exemplary embodiment, the determination module 402 is further configured to determine the maximum power of the electrolyzer for converting the electric energy of the wind turbine generator by using the following formula: in, is the maximum power of the electrolyzer to convert the electric energy of the wind turbine, P el,max is the maximum operating power, P el,nom is the rated power; and the minimum power of the electrolyzer to convert the electric energy of the wind turbine is determined by the following formula: in, is the minimum power of the electrolyzer to convert the electric energy of the wind turbine, P el,minis the minimum operating power; and the sum of the powers of the electrolytic cells in the underpower mode among the N electrolytic cells in the target time period is determined by the following formula: Among them, P wind,max is the predicted maximum wind power generation power, P wind,min is the predicted minimum wind power generation power.

[0102] In an exemplary embodiment, the indication module 404 is also used to indicate, when the wind turbine operates within multiple target time periods, that each of the N electrolyzers operates in the under-power mode for an equal length of time, operates in the fluctuating power mode for an equal length of time, and operates in the rated power mode for an equal length of time during the multiple target time periods.

[0103] An embodiment of the present application further provides a computer-readable storage medium, in which a computer program is stored, wherein the computer program is configured to execute the steps of any of the above method embodiments when running.

[0104] Optionally, in this embodiment, the storage medium may be configured to store a computer program for performing the following steps:

[0105] S1, determining a first quantity and a second quantity according to the predicted power generation data of the wind turbine in a target time period, wherein the first quantity is the number of electrolyzers operating in a fluctuating power mode in the target time period among N electrolyzers, and the second quantity is the number of electrolyzers operating in an underpower mode in the target time period among N electrolyzers, wherein the power of the electrolyzers when operating in the fluctuating power mode is not fixed, and the power of the electrolyzers when operating in the underpower mode is less than the corresponding rated power, and N is an integer greater than or equal to 2;

[0106] S2, indicating that within the target time period, F of the N electrolyzers are operating in the fluctuating power mode, U of the electrolyzers are operating in the under-power mode, and NFU of the electrolyzers are operating in the rated power mode, wherein F is equal to the first number and U is equal to the second number.

[0107] In an exemplary embodiment, the computer-readable storage medium may include, but is not limited to, various media that can store computer programs, such as a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk.

[0108] For specific examples in this embodiment, reference may be made to the examples described in the above embodiments and exemplary implementation modes, and this embodiment will not be described in detail herein.

[0109] An embodiment of the present application further provides a computer program product, including a computer program, and when the computer program is executed by a processor, the steps in any one of the above method embodiments are performed.

[0110] An embodiment of the present application further provides an electronic device, including a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0111] Optionally, in this embodiment, the processor may be configured to perform the following steps through a computer program:

[0112] S1, determining a first quantity and a second quantity according to the predicted power generation data of the wind turbine in a target time period, wherein the first quantity is the number of electrolyzers operating in a fluctuating power mode in the target time period among N electrolyzers, and the second quantity is the number of electrolyzers operating in an underpower mode in the target time period among N electrolyzers, wherein the power of the electrolyzers when operating in the fluctuating power mode is not fixed, and the power of the electrolyzers when operating in the underpower mode is less than the corresponding rated power, and N is an integer greater than or equal to 2;

[0113] S2, indicating that within the target time period, F of the N electrolyzers are operating in the fluctuating power mode, U of the electrolyzers are operating in the under-power mode, and NFU of the electrolyzers are operating in the rated power mode, wherein F is equal to the first number and U is equal to the second number.

[0114] In an exemplary embodiment, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0115] For specific examples in this embodiment, reference may be made to the examples described in the above embodiments and exemplary implementation modes, and this embodiment will not be described in detail herein.

[0116] Obviously, those skilled in the art should understand that the above modules or steps of the present application can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order from that herein, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present application is not limited to any specific combination of hardware and software.

[0117] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for allocating electrolytic cell operation modes, characterized in that: include: Determine a first quantity and a second quantity according to the predicted power generation data of the wind turbine in the target time period, wherein the first quantity is the number of electrolyzers operating in the fluctuating power mode in the target time period among the N electrolyzers, and the second quantity is the number of electrolyzers operating in the underpower mode in the target time period among the N electrolyzers, wherein the power of the electrolyzers when operating in the fluctuating power mode is not fixed, and the power of the electrolyzers when operating in the underpower mode is less than the corresponding rated power, and N is an integer greater than or equal to 2; Indicates that within the target time period, F of the N electrolyzers are operating in the fluctuating power mode, U of the electrolyzers are operating in the under-power mode, and NFU of the electrolyzers are operating in the rated power mode, wherein F is equal to the first number and U is equal to the second number.

2. The method according to claim 1, characterized in that Determining the first quantity and the second quantity according to the predicted power generation data of the wind turbine in the target time period includes: Acquire predicted power generation data of the wind turbine generator within the target time period, as well as the maximum operating power, rated power and minimum operating power of the electrolyzer, wherein the predicted power generation data includes: predicted maximum wind power generation power, and predicted minimum wind power generation power; Determine the first quantity according to the predicted maximum wind power generation power, the predicted minimum wind power generation power, the maximum operating power and the minimum operating power; The second number is determined according to the predicted maximum wind power generation power, the predicted minimum wind power generation power, the maximum operating power, the rated power, the minimum operating power and the first number.

3. The method according to claim 2, characterized in that Determining the first quantity according to the predicted maximum wind power generation power, the predicted minimum wind power generation power, the maximum operating power, and the minimum operating power includes: The first quantity is determined by the following formula: Among them, P wind,max is the predicted maximum wind power generation power, P wind,min is the predicted minimum wind power generation power, P el,max is the maximum operating power, P el,min is the minimum operating power.

4. The method according to claim 2, characterized in that: Determining the second quantity according to the predicted maximum wind power generation power, the predicted minimum wind power generation power, the maximum operating power, the rated power, the minimum operating power and the first quantity includes: Determine the total power of the electrolyzers in the underpower mode among the N electrolyzers in the target time period according to the predicted maximum wind power generation, the predicted minimum wind power generation, the maximum operating power of the electrolyzer, the rated power, the minimum operating power and the first number; The second quantity is determined by the following formula: Among them, v c is the sum of the powers of the electrolytic cells in the underpower mode among the N electrolytic cells in the target time period, P el,nom is the rated power, P el,min is the minimum operating power.

5. The method according to claim 4, characterized in that Determining the total power of the electrolyzers in the underpower mode among the N electrolyzers in the target time period according to the predicted maximum wind power generation, the predicted minimum wind power generation, the maximum operating power of the electrolyzer, the rated power, the minimum operating power, and the first number, comprises: The maximum power of the electrolyzer converting the electric energy of the wind turbine generator is determined by the following formula: P Tmax,n =FP el,max +(N-F)P el,nom ; Among them, P Tmax,n is the maximum power of the electrolyzer to convert the electric energy of the wind turbine, P el,max is the maximum operating power, P el,nom is the rated power; and The minimum power of the electrolyzer to convert the electric energy of the wind turbine generator is determined by the following formula: P Tmin,n =FP el,min +(N-F)P el,nom ; Among them, P Tmin,n is the minimum power of the electrolyzer to convert the electric energy of the wind turbine, P el,min is the minimum operating power; The total power of the electrolytic cells in the under-power mode among the N electrolytic cells in the target time period is determined by the following formula: Among them, P wind,max is the predicted maximum wind power generation power, P wind,min is the predicted minimum wind power generation power.

6. The method according to claim 1, characterized in that The method further comprises: When the wind turbine operates within multiple target time periods, it is indicated that each of the N electrolyzers operates in the under-power mode for an equal period of time, operates in the fluctuating power mode for an equal period of time, and operates in the rated power mode for an equal period of time during the multiple target time periods.

7. A distribution device for an electrolytic cell operation mode, characterized in that: include: A determination module, configured to determine a first quantity and a second quantity according to predicted power generation data of the wind turbine within a target time period, wherein the first quantity is the number of electrolyzers among N electrolyzers operating in a fluctuating power mode within the target time period, and the second quantity is the number of electrolyzers among N electrolyzers operating in an underpower mode within the target time period, wherein the power of the electrolyzers when operating in the fluctuating power mode is not fixed, and the power of the electrolyzers when operating in the underpower mode is less than the corresponding rated power, and N is an integer greater than or equal to 2; An indication module is used to indicate that among the N electrolyzers, F electrolyzers are operating in the fluctuating power mode, U electrolyzers are operating in the underpower mode, and NFU electrolyzers are operating in the rated power mode within the target time period, wherein F is equal to the first number and U is equal to the second number.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein the program executes the method according to any one of claims 1 to 6 when executed.

9. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to execute the method according to any one of claims 1 to 6 through the computer program.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

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