A method, system, equipment and medium for controlling a hydrogen production device

Abstract

The present invention relates to the technical field of hydrogen production by electrolysis, and provides a method, system, equipment and medium for controlling a hydrogen production device, the method comprising: constructing a digital twin model; respectively obtaining the optimal predicted power values ​​of multiple virtual hydrogen production electrolyzers in a future preset time period; respectively obtaining the predicted output power functions of multiple virtual hydrogen production power supplies in a future preset time period; according to the predicted output power function and the optimal predicted power value, obtaining a power allocation scheme for delivering the virtual hydrogen production power supply to the virtual hydrogen production electrolyzer; verifying the feasibility of the power allocation scheme, and if the power allocation scheme is feasible, executing the power allocation scheme to adjust the power delivered from the target hydrogen production power supply to the target hydrogen production electrolyzer. The present invention can better realize the power allocation adjustment of the target hydrogen production power supply to the target hydrogen production electrolyzer, and avoid the problem of low efficiency and failure of the target hydrogen production electrolyzer caused by uneven power allocation adjustment of the target hydrogen production power supply.

Description

Technical Field

[0001] The present invention relates to the technical field of electrolytic hydrogen production, and in particular to a control method, system, equipment and medium for a hydrogen production device. Background Art

[0002] ‌Hydrogen production by electrolysis‌ is a process that decomposes water into hydrogen and oxygen by electrolysis. The principle is to pass direct current into an electrolyzer filled with electrolyte, and water molecules undergo electrochemical reactions on the electrodes to decompose into hydrogen and oxygen. With the continuous advancement of technology, hydrogen production by electrolysis will pay more attention to the efficient use of energy and environmental sustainability, such as using new energy such as solar energy and wind energy to electrolyze water to produce hydrogen, further reducing energy consumption and reducing negative impacts on the environment.

[0003] For the power conversion regulation of new energy electrolysis hydrogen production, some typical prior arts were found through searching, such as the Chinese invention patent with application number CN202310667800.8, which discloses a control method for a new energy water electrolysis hydrogen production power supply, which generates a new energy side power supply control strategy to enable the new energy side power supply to achieve high efficiency characteristics. Another example is the Chinese invention patent with application number CN202310982021.7, which discloses a new energy electrolysis hydrogen production rectifier and control method, which can effectively avoid the AC bus frequency oscillation phenomenon that occurs when the power on the power generation side fluctuates in the case of traditional new energy power generation. Another example is the Chinese invention patent with application number CN202310655479.1, which discloses a hydrogen production power supply, a control method for a hydrogen production power supply, and a control device thereof, which can improve the power utilization rate of new energy power sources.

[0004] It can be seen that for the power conversion regulation of new energy electrolysis hydrogen production, there are still many practical problems that need to be dealt with in its actual application, and there are still many specific solutions that have not been proposed. Summary of the invention

[0005] One object of the present invention is to provide a method for controlling a hydrogen production device that can obtain a predicted output power function of a virtual hydrogen production power source and an optimal predicted power value of a virtual hydrogen production electrolyzer through simulation of a digital twin model corresponding to a hydrogen production device, and then obtain a power distribution plan of the virtual hydrogen production power source based on the predicted output power function and the optimal predicted power value, and verify the feasibility of the power distribution plan. When the power distribution plan is feasible, a method for controlling a hydrogen production device that better realizes power distribution adjustment from a target hydrogen production power source to a target hydrogen production electrolyzer can be used.

[0006] The hydrogen production device control method comprises the following steps:

[0007] Acquire basic information of the hydrogen production device, and build a digital twin model according to the basic information based on digital twin technology;

[0008] According to the digital twin model, the operation status of multiple virtual hydrogen production electrolyzers is simulated to obtain the optimal predicted power values ​​of the multiple virtual hydrogen production electrolyzers in a future preset time period;

[0009] According to the digital twin model, the operation status of multiple virtual hydrogen production power sources is simulated to obtain predicted output power functions of the multiple virtual hydrogen production power sources in a future preset time period respectively;

[0010] According to the predicted output power function and the optimal predicted power value, obtaining a power allocation scheme for transmitting the virtual hydrogen production power source to the virtual hydrogen production electrolyzer;

[0011] Verify the feasibility of the power allocation scheme in the digital twin model. If the power allocation scheme is feasible, execute the power allocation scheme within a preset time period in the future to adjust the power delivered from the target hydrogen production power source to the target hydrogen production electrolyzer;

[0012] Wherein, the hydrogen production device includes a plurality of target hydrogen production electrolyzers and a plurality of target hydrogen production power supplies, and the target hydrogen production power supplies are electrically connected to the target hydrogen production electrolyzers via a power bus.

[0013] In the present invention, the hydrogen production device control method obtains the predicted output power function of the virtual hydrogen production power supply and the optimal predicted power value of the virtual hydrogen production electrolyzer by simulating in the digital twin model, and then obtains the power allocation scheme and verifies its feasibility. When the power allocation scheme is feasible, the power allocation scheme is executed to adjust the power delivered from the target hydrogen production power supply to the target hydrogen production electrolyzer. Based on the real-time and efficient data processing characteristics of digital twin technology, it can better realize the power distribution adjustment from the target hydrogen production power supply to the target hydrogen production electrolyzer, and avoid the problem of inefficiency and failure of the target hydrogen production electrolyzer caused by uneven power distribution adjustment of the target hydrogen production power supply.

[0014] Preferably, the specific method for obtaining the optimal predicted power value of the virtual hydrogen production electrolyzer in a future preset time period includes the following steps:

[0015] Obtaining the power constraint of the virtual hydrogen production electrolyzer And the operating temperature constraints ;

[0016] According to the hydrogen production optimization function Calculate the maximum hydrogen production within a preset time period in the future;

[0017] In the digital twin model, the interference factor is input into the virtual hydrogen production electrolyzer to meet the power constraint condition. , Operating temperature constraints And the hydrogen production optimization function The actual hydrogen production power corresponding to the time is taken as the optimal predicted power value;

[0018] in, represents the minimum hydrogen production power requirement of the virtual hydrogen production electrolyzer, represents the maximum hydrogen production power required by the virtual hydrogen production electrolyzer, represents the actual hydrogen production power of the virtual hydrogen production electrolyzer, Indicates the minimum operating temperature of the virtual hydrogen production electrolyzer. Indicates the maximum operating temperature of the virtual hydrogen production electrolyzer. Indicates the actual operating temperature value of the virtual hydrogen production electrolyzer, represents the hydrogen production rate of the electrolyzer, Indicates the current moment, Indicates a preset time in the future. Indicates that the electrolytic cell The total amount of hydrogen produced during the time period.

[0019] Furthermore, the electrolyzer hydrogen production rate ;

[0020] in, is the Faraday efficiency, represents the number of electrolytic units, Indicates the real-time current, represents the number of electrons transferred in the electrolysis reaction, represents the Faraday constant.

[0021] Furthermore, according to the predicted output power function and the optimal predicted power value, a specific method for obtaining a power allocation scheme for transmitting the virtual hydrogen production power source to the virtual hydrogen production electrolyzer comprises the following steps:

[0022] Obtaining a priority level of the virtual hydrogen production electrolyzer according to the optimal predicted power value;

[0023] The output powers of the plurality of virtual hydrogen production power sources are allocated according to the priority levels and the predicted output power function, so as to obtain a power allocation scheme for transmitting the virtual hydrogen production power sources to the virtual hydrogen production electrolyzer.

[0024] Furthermore, a specific method for verifying the feasibility of the power allocation scheme in the digital twin model includes the following steps:

[0025] Executing the power allocation scheme in the digital twin model to determine whether the plurality of virtual hydrogen production electrolyzers can operate safely;

[0026] If it can run safely, it is judged that the power allocation scheme has passed the verification;

[0027] If it cannot operate safely, the priority levels of the multiple virtual hydrogen production electrolyzers are adjusted, and the output powers of the multiple virtual hydrogen production power supplies are reallocated according to the adjusted priority levels and the predicted output power function, and the number of power allocations is recorded until the multiple virtual hydrogen production electrolyzers can operate safely or the number of power allocations reaches the maximum preset number.

[0028] Furthermore, a specific method for obtaining the priority level of the virtual hydrogen production electrolyzer according to the optimal predicted power value comprises the following steps:

[0029] Obtaining an operation risk index of the virtual hydrogen production electrolyzer in a past preset time period;

[0030] Obtaining a life index of the virtual hydrogen production electrolyzer;

[0031] Acquire a hydrogen production efficiency index of the virtual hydrogen production electrolyzer according to the optimal predicted power value;

[0032] The priority level of the virtual hydrogen production electrolyzer is obtained by combining the operation risk index, the life index and the hydrogen production efficiency index.

[0033] Furthermore, the operational risk index , the lifespan index , the hydrogen production efficiency index , the priority of virtual hydrogen electrolyzers ;

[0034] in, Indicates the number of the virtual hydrogen production electrolyzer within the past preset time period Failure time, Indicates the minimum interval between two consecutive failures of the virtual hydrogen production electrolyzer in the past preset time period, represents a natural constant, represents the number of failures of the virtual hydrogen production electrolyzer in the past preset time period, represents the external environment influencing factor of the virtual hydrogen production electrolyzer in the past preset time period, represents the designed service life of the virtual hydrogen production electrolyzer, represents the operation time of the virtual hydrogen production electrolyzer, , , They respectively represent the adjustment coefficients of the operation risk index, the life index and the hydrogen production efficiency index.

[0035] The present invention also provides a hydrogen production device control system, which includes:

[0036] A construction module is used to obtain basic information of the hydrogen production device and construct a digital twin model according to the basic information based on the digital twin technology;

[0037] A simulation module is used to simulate the operating status of multiple virtual hydrogen production electrolyzers according to the digital twin model, and respectively obtain the optimal predicted power values ​​of multiple virtual hydrogen production electrolyzers in a future preset time period, and to simulate the operating status of multiple virtual hydrogen production power supplies, and respectively obtain the predicted output power functions of multiple virtual hydrogen production power supplies in a future preset time period;

[0038] A power allocation module, configured to obtain a power allocation scheme for transmitting the virtual hydrogen production power source to the virtual hydrogen production electrolyzer according to the predicted output power function and the optimal predicted power value;

[0039] A verification module, used to verify the feasibility of the power allocation scheme in the digital twin model, and if the power allocation scheme is feasible, execute the power allocation scheme within a preset time period in the future;

[0040] Wherein, the hydrogen production device includes a plurality of target hydrogen production electrolyzers and a plurality of target hydrogen production power supplies, and the target hydrogen production power supplies are electrically connected to the target hydrogen production electrolyzers via a power bus.

[0041] The present invention also provides a hydrogen production device control device, which includes:

[0042] Controller;

[0043] A memory storing executable instructions;

[0044] The executable instructions can be run on the controller and implement the hydrogen production device control method.

[0045] The present invention also provides a computer-readable storage medium storing a computer program, wherein the computer program implements the hydrogen production device control method when executed by a processor. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] The present invention can be further understood from the following description in conjunction with the accompanying drawings. The components in the figures are not necessarily drawn to scale, but the emphasis is placed on illustrating the principles of the embodiments. In different views, the same reference numerals designate corresponding parts.

[0047] Figure 1 It is a schematic diagram of the overall process of a method for controlling a hydrogen production device in one embodiment of the present invention;

[0048] Figure 2 It is a partial flow diagram of a method for controlling a hydrogen production device in one embodiment of the present invention;

[0049] Figure 3 It is a partial flow diagram of a method for controlling a hydrogen production device in another embodiment of the present invention. DETAILED DESCRIPTION

[0050] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with its embodiments. It should be understood that the specific implementation methods described herein are only used to explain the present invention and do not limit the protection scope of the present invention.

[0051] It should be noted that when an element is referred to as being "fixed to" another element, it may be directly on the other element or there may be a central element. When an element is considered to be "connected to" another element, it may be directly connected to the other element or there may be a central element at the same time. The terms "vertical", "horizontal", "left", "right" and similar expressions used herein are for illustrative purposes only and do not represent the only implementation method.

[0052] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items.

[0053] The “first” and “second” mentioned in the present invention do not represent specific quantities and orders, but are merely used to distinguish names.

[0054] like Figure 1 As shown, a method for controlling a hydrogen production device in one embodiment of the present invention includes the following steps:

[0055] S1, obtaining basic information of the hydrogen production device, and constructing a digital twin model according to the basic information based on the digital twin technology.

[0056] Through sensors, monitoring equipment, controllers, etc., basic information such as various parameters, states, and performance indicators of the hydrogen production device are collected in real time, and a digital twin model is constructed based on digital twin technology. Specifically, the basic information includes but is not limited to the real-time operation data, real-time operation status, historical operation data, real-time environmental parameters, and historical environmental parameters of the target hydrogen production electrolyzer and hydrogen production power supply. Since collecting basic data information of the target object and constructing a digital twin model based on digital twin technology are conventional technical means in this field, they will not be repeated here.

[0057] S2, based on the digital twin model, simulate the operating status of multiple virtual hydrogen production electrolyzers, and obtain the optimal predicted power values ​​of the multiple virtual hydrogen production electrolyzers in a future preset time period.

[0058] The multiple target hydrogen production electrolyzers correspond one-to-one to the multiple virtual hydrogen production electrolyzers, and the multiple target hydrogen production power sources correspond one-to-one to the multiple virtual hydrogen production power sources. The optimal predicted power value can be determined according to the hydrogen production rate, power transfer efficiency, proton exchange membrane efficiency, etc. of the virtual hydrogen production electrolyzer.

[0059] S3, simulating the operating status of multiple virtual hydrogen production power sources according to the digital twin model, and respectively obtaining predicted output power functions of the multiple virtual hydrogen production power sources in a future preset time period.

[0060] The power generation of new energy sources such as wind power and solar power has the problem of volatility and intermittency. By obtaining the predicted output power functions of multiple virtual hydrogen production power sources in the future preset time period, the input power of the hydrogen production electrolyzer can be better adjusted according to the power generation of the new energy hydrogen production power source.

[0061] S4. According to the predicted output power function and the optimal predicted power value, a power allocation scheme for transmitting the virtual hydrogen production power source to the virtual hydrogen production electrolyzer is obtained.

[0062] Preferably, data points can be collected for the predicted output power functions corresponding to multiple virtual hydrogen production power sources, and after the data points are collected, fitting is performed to obtain the total predicted output power function of the virtual hydrogen production power source. Specifically, the total power value corresponding to each predicted output power at the same time point is first calculated, and then the total power values ​​at multiple different time points are fitted to obtain the total predicted output power function, and finally, based on the total predicted output power function and the optimal predicted power value, a power allocation scheme for delivering the virtual hydrogen production power source to the virtual hydrogen production electrolyzer is obtained.

[0063] Another method for obtaining a power allocation plan for delivering the virtual hydrogen production power source to the virtual hydrogen production electrolyzer may be: constructing a neural network model, training the neural network model using a pre-collected output power data set, an optimal power data set, and a corresponding power allocation plan, inputting the predicted output power function and the optimal predicted power value into the trained neural network model, and using the trained neural network module to obtain a power allocation plan for delivering the virtual hydrogen production power source to the virtual hydrogen production electrolyzer.

[0064] S5, verifying the feasibility of the power allocation scheme in the digital twin model. If the power allocation scheme is feasible, executing the power allocation scheme within a preset time period in the future to adjust the power delivered from the target hydrogen production power source to the target hydrogen production electrolyzer.

[0065] Wherein, the hydrogen production device includes a plurality of target hydrogen production electrolyzers and a plurality of target hydrogen production power supplies, and the target hydrogen production power supplies are electrically connected to the target hydrogen production electrolyzers via a power bus.

[0066] The target hydrogen production power source includes but is not limited to a wind power generation device and a photovoltaic power generation device. Since the installation and connection of rectifying elements such as an AC inverter and / or a DC-DC converter between the target hydrogen production power source and the target hydrogen production electrolyzer belongs to conventional technical means in the art, it will not be described in detail here.

[0067] The control method of the hydrogen production device obtains the predicted output power function of the virtual hydrogen production power source and the optimal predicted power value of the virtual hydrogen production electrolyzer by simulating in the digital twin model, and then obtains the power allocation scheme and verifies its feasibility. When the power allocation scheme is feasible, the power allocation scheme is executed to adjust the power delivered from the target hydrogen production power source to the target hydrogen production electrolyzer. Based on the characteristics of digital twin technology such as real-time and high efficiency in data processing, it can better realize the power allocation adjustment of the target hydrogen production power source to the target hydrogen production electrolyzer, and avoid the problem of low efficiency and failure of the target hydrogen production electrolyzer caused by uneven power allocation adjustment of the target hydrogen production power source. At the same time, the power allocation adjustment of the target hydrogen production power source to the target hydrogen production electrolyzer is first simulated based on the digital twin technology, and then the power delivered from the target hydrogen production power source to the target hydrogen production electrolyzer is finally adjusted and allocated based on the feasible power allocation scheme obtained, which also provides a new idea for the power allocation of new energy hydrogen production.

[0068] Furthermore, if Figure 2 As shown, in step S2, the specific method for obtaining the optimal predicted power value of the virtual hydrogen production electrolyzer in a future preset time period includes the following steps:

[0069] S21, obtaining the power constraint condition of the virtual hydrogen production electrolyzer And the operating temperature constraints .

[0070] S22, based on the hydrogen production optimization function Calculate the maximum hydrogen production within a preset time period in the future.

[0071] S23, in the digital twin model, inputting interference factors into the virtual hydrogen production electrolyzer to meet power constraints , Operating temperature constraints And the hydrogen production optimization function The actual hydrogen production power corresponding to the time is taken as the optimal predicted power value.

[0072] in, represents the minimum hydrogen production power requirement of the virtual hydrogen production electrolyzer, represents the maximum hydrogen production power required by the virtual hydrogen production electrolyzer, represents the actual hydrogen production power of the virtual hydrogen production electrolyzer, Indicates the minimum operating temperature of the virtual hydrogen production electrolyzer. Indicates the maximum operating temperature of the virtual hydrogen production electrolyzer. Indicates the actual operating temperature value of the virtual hydrogen production electrolyzer, represents the hydrogen production rate of the electrolyzer, Indicates the current moment, Indicates a preset time in the future. Indicates that the electrolytic cell The total amount of hydrogen produced during the time period.

[0073] Preferably, the electrolyzer hydrogen production rate ;

[0074] in, is the Faraday efficiency, represents the number of electrolytic units, Indicates the real-time current, represents the number of electrons transferred in the electrolysis reaction, represents the Faraday constant.

[0075] Different virtual hydrogen production electrolyzers correspond to different power constraints, operating temperature constraints, and hydrogen production optimization functions. The interference factor refers to external factors that may affect the safe and efficient operation of the hydrogen production electrolyzer, such as current fluctuations caused by lightning strikes, abnormal changes in ambient temperature and humidity, or vibration. Specifically, the historical operating data and historical environmental parameters of the target hydrogen production electrolyzer can be obtained, and the corresponding interference parameters can be extracted from the historical operating data and historical environmental parameters. An interference model can be constructed based on the interference parameters, and then the interference factor can be randomly generated according to the interference model.

[0076] In the actual operation of the hydrogen production device, even if a power allocation plan is formulated, the hydrogen production electrolyzer may still have unstable operation or even operation failure due to the influence of external objective factors. By inputting interference factors into the virtual hydrogen production electrolyzer to meet the power constraint conditions , Operating temperature constraints And the hydrogen production optimization function The actual hydrogen production power corresponding to the time is taken as the optimal predicted power value. The optimal predicted power value finally obtained takes the external objective interference factors into consideration, which can better ensure the safe operation of the hydrogen production electrolyzer.

[0077] In one embodiment, in step S4, according to the predicted output power function and the optimal predicted power value, a specific method for obtaining a power allocation scheme for transmitting the virtual hydrogen production power source to the virtual hydrogen production electrolyzer comprises the following steps:

[0078] S41, obtaining the priority level of the virtual hydrogen production electrolyzer according to the optimal predicted power value.

[0079] Specifically, if Figure 3 As shown, the specific method for obtaining the priority level of the virtual hydrogen production electrolyzer according to the optimal predicted power value includes the following steps:

[0080] S410, obtaining an operation risk index of the virtual hydrogen production electrolyzer in a past preset time period.

[0081] S411, obtaining the life index of the virtual hydrogen production electrolyzer.

[0082] S412: Obtain a hydrogen production efficiency index of the virtual hydrogen production electrolyzer according to the optimal predicted power value.

[0083] S413, combining the operation risk index, the life index and the hydrogen production efficiency index to obtain the priority level of the virtual hydrogen production electrolyzer.

[0084] Preferably, the operational risk index , the lifespan index , the hydrogen production efficiency index , the priority level of the virtual hydrogen production electrolyzer ;

[0085] in, Indicates the number of the virtual hydrogen production electrolyzer within the past preset time period Failure time, Indicates the minimum interval between two consecutive failures of the virtual hydrogen production electrolyzer in the past preset time period, represents a natural constant, represents the number of failures of the virtual hydrogen production electrolyzer in the past preset time period, represents the external environment influencing factor of the virtual hydrogen production electrolyzer in the past preset time period, represents the designed service life of the virtual hydrogen production electrolyzer, represents the operation time of the virtual hydrogen production electrolyzer, , , They respectively represent the adjustment coefficients of the operation risk index, the life index and the hydrogen production efficiency index, which can be set and adjusted by technical personnel.

[0086] Generally speaking, the longer the hydrogen production electrolyzer is put into operation, the greater the probability of failure and the lower the corresponding life index. The greater the ratio of the time it takes for the hydrogen production electrolyzer to fail to operate to the minimum interval time, the greater the operating risk, and vice versa. Total amount of hydrogen produced during the time period The larger it is, the higher the hydrogen production efficiency is.

[0087] The priority of the virtual hydrogen production electrolyzer is obtained by combining the operation risk index, the life index and the hydrogen production efficiency index. The failure time of the hydrogen production electrolyzer, the minimum time interval between two failures, the operation time and the hydrogen production efficiency are comprehensively considered. The priority of different hydrogen production electrolyzers can be obtained more objectively to ensure that the hydrogen production device as a whole can operate efficiently, thereby improving the hydrogen production efficiency.

[0088] S42, allocating the output powers of the plurality of virtual hydrogen production power sources according to the priority levels and the predicted output power function, and obtaining a power allocation plan for transmitting the virtual hydrogen production power sources to the virtual hydrogen production electrolyzer.

[0089] Specifically, the power allocation strategy may be: according to the priority levels, the output power of multiple virtual hydrogen production power sources is preferentially allocated to virtual hydrogen production electrolyzers with higher priority levels, so that the virtual hydrogen production electrolyzers with higher priority levels operate according to their corresponding optimal predicted power values.

[0090] In addition, in the actual process, if the total predicted output power of multiple hydrogen production power sources is greater than the sum of multiple optimal predicted power values, the excess predicted output power of multiple hydrogen production power sources can be merged into the power grid and / or energy storage unit for electrical energy storage.

[0091] Sometimes, there are other hydrogen production electrolyzers around a hydrogen production electrolyzer. The operating status of a hydrogen production electrolyzer may be affected by other hydrogen production electrolyzers around it. For example, if the temperature of other hydrogen production electrolyzers rises due to abnormal operation, it will directly or indirectly affect its normal operation. In order to take into account the impact of other surrounding hydrogen production electrolyzers on a hydrogen production electrolyzer, the operation risk factor also includes the external environment impact factor of the virtual hydrogen production electrolyzer in the past preset time period. . Specifically, .in, Indicates the number of other hydrogen production electrolyzers within the preset radius of a hydrogen production electrolyzer. Indicates The distance between other hydrogen production electrolyzers and a hydrogen production electrolyzer, Indicates the preset impact proportional coefficient, Indicates The influence factor of other hydrogen production electrolyzers on a certain hydrogen production electrolyzer. It can be seen that the greater the distance between other hydrogen production electrolyzers and a hydrogen production electrolyzer, the smaller the corresponding impact factor. It represents the external environment impact index of the virtual hydrogen production electrolyzer in the past preset time period.

[0092] When the number of other hydrogen production electrolyzers within the preset radius of a hydrogen production electrolyzer is zero, the impact factor Zero, external environment impact index .

[0093] That is, in this embodiment, the output power of the plurality of virtual hydrogen production power sources is allocated according to the priority level and the predicted output power function, and a power allocation scheme for transmitting the virtual hydrogen production power source to the virtual hydrogen production electrolyzer is obtained, which can ensure that the hydrogen production device as a whole can operate efficiently, thereby improving the hydrogen production efficiency.

[0094] In one of the embodiments, a specific method for verifying the feasibility of the power allocation scheme in the digital twin model includes the following steps: executing the power allocation scheme in the digital twin model to determine whether the multiple virtual hydrogen production electrolyzers can operate safely; if they can operate safely, determining that the power allocation scheme has passed the verification; if they cannot operate safely, adjusting the priority levels of the multiple virtual hydrogen production electrolyzers, and reallocating the output powers of the multiple virtual hydrogen production power supplies according to the adjusted priority levels and the predicted output power function, and recording the number of power allocations until the multiple virtual hydrogen production electrolyzers can operate safely or the number of power allocations reaches a maximum preset number of times.

[0095] Preferably, a set of feasible default power allocation schemes is pre-set for multiple target hydrogen production electrolyzers. If a feasible power allocation scheme cannot be obtained in the digital twin model after the power allocation times reaches the maximum preset times, the default power allocation scheme is executed to adjust the power delivered from the target hydrogen production power source to the target hydrogen production electrolyzer.

[0096] The specific method for executing the power allocation scheme in the digital twin model and determining whether the multiple virtual hydrogen production electrolyzers can operate safely is as follows: simulating the execution of the power allocation scheme in the digital twin model, obtaining the real-time operating parameters of the virtual hydrogen production electrolyzers, and determining whether the real-time operating parameters meet the preset operating conditions (including but not limited to the preset operating temperature and humidity range). If so, it is determined that they can operate safely; otherwise, it is determined that they cannot operate safely.

[0097] Adjusting the priority levels of the multiple virtual hydrogen production electrolyzers includes but is not limited to randomly adjusting the priority levels of one or more virtual hydrogen production electrolyzers appropriately, and adjusting the pre-calibrated priority levels of one or more virtual hydrogen production electrolyzers.

[0098] By verifying the feasibility of the power allocation scheme in the digital twin model, the effectiveness of the power allocation adjustment from the target hydrogen production power source to the target hydrogen production electrolyzer can be further guaranteed, thereby ensuring that the target hydrogen production electrolyzer can operate safely and stably.

[0099] In one embodiment, the present invention further provides a control system for a hydrogen production device, which includes a construction module, a simulation module, a power allocation module and a verification module.

[0100] The construction module is used to obtain basic information of the hydrogen production device, and based on the digital twin technology, construct a digital twin model according to the basic information; the simulation module is used to simulate the operating status of multiple virtual hydrogen production electrolyzers according to the digital twin model, and obtain the optimal predicted power values ​​of multiple virtual hydrogen production electrolyzers in a future preset time period, and simulate the operating status of multiple virtual hydrogen production power supplies, and obtain the predicted output power functions of multiple virtual hydrogen production power supplies in a future preset time period.

[0101] The power allocation module is used to obtain a power allocation plan for transmitting the virtual hydrogen production power source to the virtual hydrogen production electrolyzer according to the predicted output power function and the optimal predicted power value; the verification module is used to verify the feasibility of the power allocation plan in the digital twin model. If the power allocation plan is feasible, the power allocation plan will be executed within a preset time period in the future.

[0102] Wherein, the hydrogen production device includes a plurality of target hydrogen production electrolyzers and a plurality of target hydrogen production power supplies, and the target hydrogen production power supplies are electrically connected to the target hydrogen production electrolyzers via a power bus.

[0103] The control system of the hydrogen production device obtains the predicted output power function of the virtual hydrogen production power source and the optimal predicted power value of the virtual hydrogen production electrolyzer by simulating in the digital twin model, and then obtains the power allocation plan and verifies its feasibility. When the power allocation plan is feasible, the power allocation plan is executed to adjust the power delivered from the target hydrogen production power source to the target hydrogen production electrolyzer. Based on the characteristics of digital twin technology such as real-time and high efficiency in data processing, it can better realize the power allocation adjustment of the target hydrogen production power source to the target hydrogen production electrolyzer, and avoid the problem of low efficiency and failure of the target hydrogen production electrolyzer caused by uneven power allocation adjustment of the target hydrogen production power source. At the same time, the power allocation adjustment of the target hydrogen production power source to the target hydrogen production electrolyzer is first simulated based on the digital twin technology, and then the power delivered from the target hydrogen production power source to the target hydrogen production electrolyzer is finally adjusted and allocated based on the feasible power allocation plan obtained, which also provides a new idea for the power allocation of new energy hydrogen production.

[0104] In one embodiment, the present invention further provides a hydrogen production device control device, comprising:

[0105] Controller;

[0106] A memory storing executable instructions;

[0107] The executable instructions can be run on the controller and implement the hydrogen production device control method.

[0108] In one of the embodiments, the present invention further provides a computer-readable storage medium storing a computer program, wherein the computer program implements the hydrogen production device control method when executed by a processor.

[0109] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0110] The above-mentioned embodiments only express several implementation methods of the present invention, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. A method for controlling a hydrogen production device, characterized in that: The hydrogen production device control method comprises the following steps: Acquire basic information of the hydrogen production device, and build a digital twin model according to the basic information based on digital twin technology; According to the digital twin model, the operation status of multiple virtual hydrogen production electrolyzers is simulated to obtain the optimal predicted power values ​​of the multiple virtual hydrogen production electrolyzers in a future preset time period; According to the digital twin model, the operation status of multiple virtual hydrogen production power sources is simulated to obtain predicted output power functions of the multiple virtual hydrogen production power sources in a future preset time period respectively; According to the predicted output power function and the optimal predicted power value, obtaining a power allocation scheme for transmitting the virtual hydrogen production power source to the virtual hydrogen production electrolyzer; Verify the feasibility of the power allocation scheme in the digital twin model. If the power allocation scheme is feasible, execute the power allocation scheme within a preset time period in the future to adjust the power delivered from the target hydrogen production power source to the target hydrogen production electrolyzer; Wherein, the hydrogen production device comprises a plurality of target hydrogen production electrolyzers and a plurality of target hydrogen production power supplies, and the target hydrogen production power supplies are electrically connected to the target hydrogen production electrolyzers via a power bus; The specific method for obtaining a power distribution scheme for transmitting the virtual hydrogen production power source to the virtual hydrogen production electrolyzer comprises the following steps: Obtaining a priority level of the virtual hydrogen production electrolyzer according to the optimal predicted power value; Allocate the output power of the plurality of virtual hydrogen production power sources according to the priority level and the predicted output power function, and obtain a power allocation scheme for transmitting the virtual hydrogen production power sources to the virtual hydrogen production electrolyzer; The specific method for obtaining the priority level of the virtual hydrogen production electrolyzer according to the optimal predicted power value comprises the following steps: Obtaining the operation risk index of the virtual hydrogen production electrolyzer in the past preset time period ; Obtaining the life index of the virtual hydrogen production electrolyzer ; Obtaining the hydrogen production efficiency index of the virtual hydrogen production electrolyzer according to the optimal predicted power value ; Combining the operation risk index, the life index and the hydrogen production efficiency index to obtain the priority level of the virtual hydrogen production electrolyzer ; in, Indicates the number of the virtual hydrogen production electrolyzer within the past preset time period Failure time, Indicates the minimum interval between two consecutive failures of the virtual hydrogen production electrolyzer in the past preset time period, represents a natural constant, represents the number of failures of the virtual hydrogen production electrolyzer in the past preset time period, represents the external environment influencing factor of the virtual hydrogen production electrolyzer in the past preset time period, represents the designed service life of the virtual hydrogen production electrolyzer, represents the operation time of the virtual hydrogen production electrolyzer, , , They respectively represent the adjustment coefficients of the operation risk index, the life index and the hydrogen production efficiency index.

2. A method for controlling a hydrogen production device according to claim 1, characterized in that: The specific method for obtaining the optimal predicted power value of the virtual hydrogen production electrolyzer in a future preset time period includes the following steps: Obtaining the power constraint of the virtual hydrogen production electrolyzer And the operating temperature constraints ; According to the hydrogen production optimization function Calculate the maximum hydrogen production within a preset time period in the future; In the digital twin model, the interference factor is input into the virtual hydrogen production electrolyzer to meet the power constraint condition. , Operating temperature constraints And the hydrogen production optimization function The actual hydrogen production power corresponding to the time is taken as the optimal predicted power value; in, represents the minimum hydrogen production power requirement of the virtual hydrogen production electrolyzer, represents the maximum hydrogen production power required by the virtual hydrogen production electrolyzer, represents the actual hydrogen production power of the virtual hydrogen production electrolyzer, Indicates the minimum operating temperature of the virtual hydrogen production electrolyzer. Indicates the maximum operating temperature of the virtual hydrogen production electrolyzer. Indicates the actual operating temperature value of the virtual hydrogen production electrolyzer, represents the hydrogen production rate of the electrolyzer, Indicates the current moment, Indicates a preset time in the future. Indicates that the hydrogen production electrolyzer is The total amount of hydrogen produced during the time period.

3. A method for controlling a hydrogen production device according to claim 2, characterized in that: The electrolyzer hydrogen production rate ; in, is the Faraday efficiency, represents the number of electrolytic units, Indicates the real-time current, represents the number of electrons transferred in the electrolysis reaction, represents the Faraday constant.

4. A method for controlling a hydrogen production device according to claim 3, characterized in that: The specific method for verifying the feasibility of the power allocation scheme in the digital twin model includes the following steps: Executing the power allocation scheme in the digital twin model to determine whether the plurality of virtual hydrogen production electrolyzers can operate safely; If it can run safely, it is judged that the power allocation scheme has passed the verification; If it cannot operate safely, the priority levels of the multiple virtual hydrogen production electrolyzers are adjusted, and the output powers of the multiple virtual hydrogen production power supplies are reallocated according to the adjusted priority levels and the predicted output power function, and the number of power allocations is recorded until the multiple virtual hydrogen production electrolyzers can operate safely or the number of power allocations reaches the maximum preset number.

5. A control system for a hydrogen production device, characterized in that: The control system of the hydrogen production device comprises: A construction module is used to obtain basic information of the hydrogen production device and construct a digital twin model according to the basic information based on the digital twin technology; A simulation module is used to simulate the operating status of multiple virtual hydrogen production electrolyzers according to the digital twin model, and respectively obtain the optimal predicted power values ​​of multiple virtual hydrogen production electrolyzers in a future preset time period, and to simulate the operating status of multiple virtual hydrogen production power supplies, and respectively obtain the predicted output power functions of multiple virtual hydrogen production power supplies in a future preset time period; A power allocation module, configured to obtain a power allocation scheme for transmitting the virtual hydrogen production power source to the virtual hydrogen production electrolyzer according to the predicted output power function and the optimal predicted power value; A verification module, used to verify the feasibility of the power allocation scheme in the digital twin model, and if the power allocation scheme is feasible, execute the power allocation scheme within a preset time period in the future; Wherein, the hydrogen production device comprises a plurality of target hydrogen production electrolyzers and a plurality of target hydrogen production power supplies, and the target hydrogen production power supplies are electrically connected to the target hydrogen production electrolyzers via a power bus; The specific method for obtaining a power distribution scheme for transmitting the virtual hydrogen production power source to the virtual hydrogen production electrolyzer comprises the following steps: Obtaining a priority level of the virtual hydrogen production electrolyzer according to the optimal predicted power value; Allocate the output power of the plurality of virtual hydrogen production power sources according to the priority level and the predicted output power function, and obtain a power allocation scheme for transmitting the virtual hydrogen production power sources to the virtual hydrogen production electrolyzer; The specific method for obtaining the priority level of the virtual hydrogen production electrolyzer according to the optimal predicted power value comprises the following steps: Obtaining the operation risk index of the virtual hydrogen production electrolyzer in the past preset time period ; Obtaining the life index of the virtual hydrogen production electrolyzer ; Obtaining the hydrogen production efficiency index of the virtual hydrogen production electrolyzer according to the optimal predicted power value ; Combining the operation risk index, the life index and the hydrogen production efficiency index to obtain the priority level of the virtual hydrogen production electrolyzer ; in, Indicates the number of the virtual hydrogen production electrolyzer within the past preset time period Failure time, Indicates the minimum interval between two consecutive failures of the virtual hydrogen production electrolyzer in the past preset time period, represents a natural constant, represents the number of failures of the virtual hydrogen production electrolyzer in the past preset time period, represents the external environment influencing factor of the virtual hydrogen production electrolyzer in the past preset time period, represents the designed service life of the virtual hydrogen production electrolyzer, represents the operation time of the virtual hydrogen production electrolyzer, , , They respectively represent the adjustment coefficients of the operation risk index, the life index and the hydrogen production efficiency index.

6. A hydrogen production device control device, characterized in that: The hydrogen production device control equipment comprises: Controller; A memory storing executable instructions; The executable instructions can be run on the controller and implement the hydrogen production device control method as described in any one of claims 1 to 4.

7. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for controlling a hydrogen production device according to any one of claims 1 to 4 is implemented.

Images