Methods, systems, equipment and storage media for managing the electricity generated by water electrolysis for hydrogen production.

Abstract

This invention relates to the field of green electricity hydrogen production technology, and discloses a method, system, equipment, and storage medium for managing the power consumption of water electrolysis hydrogen production. The method includes: acquiring the photovoltaic power supply and the electricity required for electrolysis; performing fuzzification processing on the photovoltaic power supply, the electricity required for electrolysis, and the electrolysis intensity of the water electrolysis hydrogen production device to obtain a fuzzification result; determining the membership relationship between the photovoltaic power supply, the electricity required for electrolysis, and the electrolysis intensity based on fuzzy rules and the fuzzification result to obtain a real-time membership relationship; and controlling the water electrolysis hydrogen production device by selecting the corresponding operating mode based on the electrolysis intensity indicated by the real-time membership relationship through defuzzification membership output. Embodiments of this invention allow the power operating point of a photovoltaic power generation device directly connected to the electrolyzer to match the operating power of the electrolyzer.

Description

Technical Field

[0001] This invention relates to the field of green electricity hydrogen production technology, and in particular to a method, system, equipment and storage medium for managing the electricity generated by water electrolysis for hydrogen production. Background Technology

[0002] Electrolysis of water is a relatively convenient method for producing hydrogen. Direct current is passed through an electrolytic cell filled with electrolyte, and water molecules undergo an electrochemical reaction at the electrodes, decomposing into hydrogen and oxygen.

[0003] In related technologies, excess electricity from photovoltaic power generation devices is stored in fuel cells through water electrolysis to produce hydrogen. Then, during periods of power shortage, the stored hydrogen is converted into electrical energy using fuel cells, which can improve the utilization rate and reliability of solar energy.

[0004] However, the electrical energy output by photovoltaic power generation devices is unstable and requires connection to an inverter to stabilize power and energy supply. When photovoltaic power generation devices directly supply power to the electrolytic cell, it is difficult to match the power operating point of the photovoltaic power generation device with the operating power of the electrolytic cell. Summary of the Invention

[0005] The purpose of this invention is to provide a method, system, device and storage medium for managing the power of water electrolysis for hydrogen production, which aims to match the power operating point of a photovoltaic power generation device directly connected to the electrolyzer to the operating power of the electrolyzer.

[0006] Firstly, a method for managing the electricity generated by water electrolysis for hydrogen production is provided, including:

[0007] The photovoltaic power supply and the electricity required for electrolysis are obtained; the photovoltaic power supply is the real-time power supply of the photovoltaic power generation device, and the electricity required for electrolysis is the real-time electricity required by the water electrolysis hydrogen production device; the photovoltaic power generation device is directly electrically connected to the water electrolysis hydrogen production device.

[0008] The photovoltaic power supply, the electricity required for electrolysis, and the electrolysis intensity of the water electrolysis hydrogen production device are fuzzified to obtain the fuzzification result.

[0009] The membership relationship between photovoltaic power supply, electrolysis power demand, and electrolysis intensity is determined based on fuzzy rules and fuzzification results to obtain the real-time membership relationship; the fuzzy rule is that the electrolysis intensity is positively correlated with both photovoltaic power supply and electrolysis power demand.

[0010] By defuzzifying the membership output, the corresponding working mode is selected to control the water electrolysis hydrogen production device based on the electrolysis intensity indicated by the real-time membership relationship.

[0011] In some embodiments, the fuzzification processing of the photovoltaic power supply, the electricity required for electrolysis, and the electrolysis intensity of the water electrolysis hydrogen production device includes:

[0012] Construct membership functions;

[0013] Based on the membership function, the photovoltaic power supply, electrolysis power demand, and electrolysis intensity are converted into fuzzy language of the object and output as the fuzzification result.

[0014] In some embodiments, determining the membership relationship between photovoltaic power supply, electrolysis power demand, and electrolysis intensity based on fuzzy rules and fuzzification results includes:

[0015] Determine the membership degree of photovoltaic power supply and electrolysis power requirement;

[0016] The membership degree of electrolysis intensity is determined by querying the preset fuzzy rule base and the membership degree of photovoltaic power supply and electrolysis power demand.

[0017] The membership value of the electrolytic intensity is determined based on the range and membership degree of the electrolytic intensity. The membership degree of the electrolytic intensity is multiplied by its membership value to obtain the electrolytic intensity adjustment parameter.

[0018] The electrolysis intensity adjustment parameters are calibrated using preset calibration parameters.

[0019] In some embodiments, the electrolysis charge requirement includes the buffer battery charge and the hydrogen storage tank pressure. The fuzzy rule is that the electrolysis intensity is positively correlated with the buffer battery charge and negatively correlated with the hydrogen storage tank pressure.

[0020] In some embodiments, the step of controlling the water electrolysis hydrogen production device by selecting the corresponding operating mode based on the electrolysis intensity indicated by the real-time affiliation includes:

[0021] The precise value of the output is sent to the execution unit of the water electrolysis hydrogen production device. The execution unit controls the multiple electrolysis stacks configured in the water electrolysis hydrogen production device, and the electrolysis intensity is set by adjusting the number of electrolysis stacks turned on.

[0022] Secondly, an electrolysis water hydrogen production power management system is provided, comprising:

[0023] Electrolysis of water to produce hydrogen;

[0024] The photovoltaic power generation device is directly electrically connected to the water electrolysis hydrogen production device;

[0025] The management module is used to execute the electrolysis of water to produce hydrogen energy management method described in the first aspect.

[0026] In some embodiments, the water electrolysis hydrogen production device includes an execution unit, multiple sets of electrolyzers, a purification and pressurization unit, a hydrogen storage tank, and a buffer battery. The execution unit, the electrolyzers, the purification and pressurization unit, and the hydrogen storage tank are connected in sequence, and the buffer battery is connected to a DC bus.

[0027] Thirdly, an electronic device is provided, the electronic device including a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the electrolytic water hydrogen production power management method described in the first aspect.

[0028] Fourthly, a computer-readable storage medium is provided, the computer-readable storage medium storing a computer program, which, when executed by a processor, implements the electrolytic water hydrogen production power management method described in the first aspect.

[0029] The beneficial effects of this invention are as follows: By directly connecting a photovoltaic power generation device to a water electrolysis hydrogen production device, and determining the membership relationship between photovoltaic power supply, electrolysis power demand, and electrolysis intensity based on fuzzy control principles and set fuzzy rules, the electrolysis intensity of the water electrolysis hydrogen production device is positively correlated with both photovoltaic power supply and electrolysis power demand. Furthermore, based on the electrolysis intensity indicated by the real-time membership relationship, the corresponding operating mode is selected to control the water electrolysis hydrogen production device, ensuring that the power operating point of the photovoltaic power generation device directly connected to the electrolyzer is matched to the operating power of the electrolyzer, thereby improving energy utilization efficiency. Attached Figure Description

[0030] Figure 1 This is a flowchart of the water electrolysis hydrogen production power management method provided in the embodiments of this application.

[0031] Figure 2 yes Figure 1 The flowchart for step S102.

[0032] Figure 3 yes Figure 1 The flowchart for step S103.

[0033] Figure 4 This is a schematic diagram of the structure of the water electrolysis hydrogen production power management system provided in the embodiments of this application.

[0034] Figure 5 This is a schematic diagram of the hardware structure of the electronic device provided in the embodiments of this application. Detailed Implementation

[0035] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0036] It should be noted that although functional modules are divided in the device schematic diagram and a logical order is shown in the flowchart, in some cases, the steps shown or described may be performed in a different order than the module division in the device or the order in the flowchart. The terms "first," "second," etc., in the specification, claims, and the aforementioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence.

[0037] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of this application only and is not intended to limit this application.

[0038] Excess electricity generated by a photovoltaic (PV) power generation system is stored in a fuel cell through water electrolysis to produce hydrogen. During periods of power shortage, the fuel cell converts the stored hydrogen into electricity, improving the utilization rate and reliability of solar energy. In related technologies, there are three main methods for supplying power to an electrolyzer from a PV power generation system: First, an inverter is used to convert the PV power into alternating current (AC), which then works in conjunction with grid power to supply the electrolyzer. When the PV power output is high, electricity is fed into the grid; when the solar power output is insufficient to meet the electrolyzer's needs, power is drawn from the grid. Second, a DC-DC converter is used to convert the fluctuating power of the PV power generation system into a constant power output sufficient for the electrolyzer. Third, the size of the PV power generation system is designed based on the electrolyzer's power output and local solar irradiance data to ensure that the PV power output operates within the power matching range of the electrolyzer, and then the two are directly connected. However, the first two connection methods require additional components and equipment, and will result in energy loss and system complexity, thus requiring more equipment and control management costs for energy management and utilization. The third connection method makes the system simpler, more stable and reliable, and easier to maintain, but when the photovoltaic power generation device directly supplies power to the electrolytic cell, it is difficult to match the maximum power operating point of the photovoltaic power generation device with the operating power of the electrolytic cell.

[0039] Based on this, this application provides a method, system, equipment, and storage medium for managing the power supply of water electrolysis for hydrogen production. Based on the principle of fuzzy control, the power supply of the photovoltaic power generation device and the power demand of the water electrolysis for hydrogen production device are dynamically matched, so that the power operating point of the photovoltaic power generation device directly connected to the electrolyzer is matched with the operating power of the electrolyzer, thereby improving energy utilization.

[0040] Figure 1 This is a schematic flowchart illustrating an embodiment of a method for managing the electricity generated by water electrolysis, specifically including but not limited to steps S101 to S104.

[0041] Step S101: Obtain the photovoltaic power supply and the amount of electricity required for electrolysis.

[0042] The photovoltaic power supply is the real-time power supply of the photovoltaic power generation device, and the electrolysis power requirement is the real-time power requirement of the water electrolysis hydrogen production device. The photovoltaic power generation device is directly electrically connected to the water electrolysis hydrogen production device.

[0043] In step S101, the photovoltaic power supply and the required electricity for electrolysis are determined by acquiring sensor information obtained from the locations of the photovoltaic power generation device and the water electrolysis hydrogen production device. Specifically, the output power of the photovoltaic power generation device can be acquired using a power sensor to obtain its real-time power supply, and relevant information from the corresponding location of the water electrolysis hydrogen production device can be acquired using sensors to obtain its real-time electricity requirement. The relevant information from the corresponding location of the water electrolysis hydrogen production device can be the buffer battery charge and hydrogen storage capacity, which is not limited in this application.

[0044] Step S102: The photovoltaic power supply, the electricity required for electrolysis, and the electrolysis intensity of the water electrolysis hydrogen production device are fuzzified to obtain the fuzzification result.

[0045] Fuzzification is a crucial step in implementing fuzzy control. It involves converting the definite values ​​of the input quantities to the fuzzy controller into corresponding fuzzy linguistic variable values. Since these fuzzy linguistic variable values ​​are fuzzy sets, the fuzzification method should provide a method for transforming precise quantities into fuzzy sets. Common fuzzification methods include the tiered fuzzy set method, the input point membership degree setting method (taking 1 as the threshold), the single-point fuzzy set method, and the membership degree value method.

[0046] In step S102, the power supply, electrolysis power requirement, and electrolysis intensity of the water electrolysis hydrogen production device are converted into corresponding fuzzy linguistic variable values ​​according to the membership value method. A fuzzy database is constructed, which stores the membership vector values ​​of all fuzzy subsets of all input and output variables (i.e., the set of corresponding values ​​after discretization of the universe of discourse). If the universe of discourse is a continuous domain, it is a membership function. In the process of solving the fuzzy relation equation of rule reasoning, data is provided to the inference engine.

[0047] Step S103: Determine the membership relationship between photovoltaic power supply, electrolysis power demand and electrolysis intensity based on fuzzy rules and fuzzification results to obtain the real-time membership relationship.

[0048] The fuzzy rule states that the electrolysis intensity is positively correlated with both the photovoltaic power supply and the electricity required for electrolysis.

[0049] The fuzzy control data in the fuzzy rules includes preset photovoltaic power supply information, preset electrolysis power demand information, and preset electrolysis intensity information. The process of obtaining the preset photovoltaic power supply information, preset electrolysis power demand information, and preset electrolysis intensity information is as follows:

[0050] A photovoltaic (PV) power generation device is directly connected to a water electrolysis hydrogen production device, supplying power to the device. The electrolysis intensity of the device is measured when the PV outputs different power levels, and the electrolysis energy demand is collected in real time. The PV power supply, electrolysis energy demand, and electrolysis intensity are recorded under these power supply scenarios. The power output of the PV is varied, and the above steps are repeated to obtain the relevant parameters for each power supply level. Based on these experimental data, and referencing an expert knowledge base and pre-defined fuzzy rules, a fuzzy rule database is designed to store preset PV power supply information, preset electrolysis energy demand information, and preset electrolysis intensity information. This database is used to determine the hierarchical relationships between PV power supply, electrolysis energy demand, and electrolysis intensity.

[0051] Step S104: By defuzzifying the membership output, the corresponding working mode is selected to control the water electrolysis hydrogen production device based on the electrolysis intensity indicated by the real-time membership relationship.

[0052] According to fuzzy decision-making, the electrolysis intensity of the water-to-hydrogen device is output as a fuzzy vector based on the real-time membership relationship. By defuzzifying the membership output according to the "maximum membership principle", an accurate control parameter can be output.

[0053] In step S104, the photovoltaic power supply, electrolysis power demand, and electrolysis intensity obtained by defuzzification are output through the defuzzification membership output to complete the tuning of the working mode control parameters of the water electrolysis hydrogen production system. The working mode of the water electrolysis hydrogen production system is adjusted by outputting control signals according to the PID control algorithm after parameter tuning, so that the power operating point of the photovoltaic power generation device directly connected to the electrolyzer is matched with the working power of the electrolyzer, thereby improving energy utilization.

[0054] Steps S101 to S104, as illustrated in this embodiment, involve directly connecting a photovoltaic power generation device to a water electrolysis hydrogen production device. Based on fuzzy control principles and set fuzzy rules, the membership relationship between photovoltaic power supply, electrolysis power demand, and electrolysis intensity is determined, ensuring that the electrolysis intensity of the water electrolysis hydrogen production device is positively correlated with both photovoltaic power supply and electrolysis power demand. Then, based on the electrolysis intensity indicated by the real-time membership relationship, the corresponding operating mode is selected to control the water electrolysis hydrogen production device, allowing the power operating point of the photovoltaic power generation device directly connected to the electrolyzer to match the operating power of the electrolyzer, thereby improving energy utilization.

[0055] Please see Figure 2In some embodiments, step S102 may include, but is not limited to, steps S201 to S202.

[0056] Step S201: Construct membership functions.

[0057] Step S202: Based on the membership function, the photovoltaic power supply, electrolysis power demand, and electrolysis intensity are converted into the fuzzy language of the object and output as the fuzzification result.

[0058] In this embodiment, the membership function is constructed as follows:

[0059]

[0060]

[0061]

[0062]

[0063] Among them, u 功率 (x), u 压力 (z), u SOC (y) and u 台数 (m) represents the fuzzy output of photovoltaic power supply, hydrogen storage tank pressure, buffer battery charge and electrolysis intensity, respectively, and x, z, y and m represent the fuzzy input values ​​of photovoltaic power supply, hydrogen storage tank pressure, buffer battery charge and electrolysis intensity, respectively.

[0064] Please see Figure 3 In some embodiments, step S103 may include, but is not limited to, steps S301 to S304.

[0065] Step S301: Determine the membership degree of photovoltaic power supply and electrolysis power requirement.

[0066] Step S302: Query the preset fuzzy rule base and determine the membership degree of electrolysis intensity based on the membership degree of photovoltaic power supply and electrolysis power demand.

[0067] Step S303: Determine the membership value of the electrolytic intensity based on the range and membership degree of the electrolytic intensity, and multiply the membership degree of the electrolytic intensity by its membership value to obtain the electrolytic intensity adjustment parameter.

[0068] Step S304: Correct the electrolysis intensity adjustment parameters using preset correction parameters.

[0069] Membership degree is a concept introduced to describe fuzzy relationships. When fuzzifying the pressure deviation and the rate of change of pressure deviation, the value ranges of photovoltaic power supply and electrolysis power demand are linearly divided into several intervals. The divided intervals are the membership degrees, and the values ​​of photovoltaic power supply and electrolysis power demand are the membership values. According to the setting relationship between photovoltaic power supply and electrolysis power demand and the electrolysis intensity adjustment parameter mentioned in the above embodiment, the membership degree of the electrolysis intensity adjustment parameter can be determined based on the membership degree of photovoltaic power supply and electrolysis power demand, thereby generating a fuzzy rule base.

[0070] In this embodiment, the amount of electricity required for electrolysis includes the state of charge (SOC) of the buffer battery and the pressure of the hydrogen storage tank. The fuzzy rule is that the electrolysis intensity is positively correlated with the state of charge of the buffer battery and negatively correlated with the pressure of the hydrogen storage tank.

[0071] The range of photovoltaic power supply is divided into extremely low, relatively low, medium, relatively high and extremely high; the range of buffer battery charge is divided into low, medium and high; the range of hydrogen storage tank pressure is divided into low and high; the range of electrolysis intensity is a subset of {0, 1, 2, 3}; and the fuzzy rule base in Table 1 below is generated.

[0072]

[0073] Table 1

[0074] By querying a preset fuzzy rule base, the electrolysis intensity value that matches the membership degree of the currently determined photovoltaic power supply and electrolysis power requirement is determined. For example, if the photovoltaic power supply is 3 kW, the buffer battery charge is 80%, and the hydrogen storage tank pressure is 45%, the fuzzy language obtained after fuzzification of the photovoltaic power supply, buffer battery charge, and hydrogen storage tank pressure is: photovoltaic power supply = medium, buffer battery charge = high, hydrogen storage tank pressure = low. Based on the fuzzy rules in the fuzzy rule base, the electrolysis intensity at this time is deduced to be 3. Through defuzzification of the membership output, the precise value language corresponding to electrolysis intensity = 3 is: using 3 electrolytic reactors for electrolysis.

[0075] In this embodiment, the formula for correcting the electrolysis intensity adjustment parameter using preset correction parameters is as follows:

[0076] K = K′ + ΔK;

[0077] Where K represents the corrected electrolysis intensity adjustment parameter, K′ represents the preset correction coefficient, and ΔK represents the electrolysis intensity adjustment parameter obtained from the membership degree calculation.

[0078] In step S104 of some embodiments, the precise value of the subordinate output is output to the execution unit of the water electrolysis hydrogen production device. The execution unit controls the multiple sets of electrolyzers configured in the water electrolysis hydrogen production device, and the electrolysis intensity is set by adjusting the number of electrolyzers turned on.

[0079] Please see Figure 4 This application also provides an electrolysis hydrogen production power management system, which can implement the above-mentioned electrolysis hydrogen production power management method. The system includes:

[0080] Electrolysis water hydrogen production unit 410;

[0081] The photovoltaic power generation device 420 is directly electrically connected to the water electrolysis hydrogen production device 410;

[0082] Management module 430 is used to execute the electrolysis of water to produce hydrogen power management method described in the first aspect.

[0083] In some embodiments, the water electrolysis hydrogen production device 410 includes an execution unit, multiple sets of electrolyzers, a purification and pressurization unit, a hydrogen storage tank, and a buffer battery. The execution unit, electrolyzers, purification and pressurization unit, and hydrogen storage tank are connected in sequence, and the buffer battery is connected to a DC bus.

[0084] In this embodiment, the water electrolysis hydrogen production device 410 is equipped with three electrolyzers. The maximum photovoltaic power supply of the photovoltaic power generation device 420 is three times that of a single electrolyzer. The selected system uses a water electrolysis hydrogen production device 410 with a rated power of 6KW. The electrolyzers are three 1.5KW PEM electrolyzers. The buffer battery is a set of two 240Ah lead-acid batteries. Hydrogen is stored in a hydrogen storage tank using a pressurized method. The rated power of the photovoltaic power generation device 420 is just enough to enable the three electrolyzers to work simultaneously, and the excess electricity can be temporarily stored in the energy buffer component. The generated hydrogen is purified and then pressurized for storage. The execution unit is used to receive instructions from the management module 430 to control the on / off state of the three electrolyzers. The purification and pressurization unit is used to remove impurities such as water and oxygen and pressurize the hydrogen. The specific characteristic parameters of the photovoltaic power generation device 420 and the water electrolysis hydrogen production device 410 are shown in Table 2.

[0085]

[0086] Table 2

[0087] In some embodiments, the water electrolysis hydrogen production power management system further includes a maximum power point tracker (MPPT) 440. The MPPT 440 is connected to the photovoltaic power generation device 420 and is used to maintain the photovoltaic power supply at its maximum value and to transmit the electrical energy from the photovoltaic power generation device 420 to the bus connected to the water electrolysis hydrogen production device 410.

[0088] In this embodiment, the photovoltaic power generation device 420 is a solar photovoltaic cell, which is a component that converts solar energy into DC power and is also the green energy input of the entire system. It is connected to the maximum power tracker 440, which keeps the output of the solar cell at maximum power to improve the working efficiency of the solar energy and finally transmits the power to the DC bus.

[0089] The specific implementation method of the water electrolysis hydrogen production power management system is basically the same as the specific implementation method of the water electrolysis hydrogen production power management method described above, and will not be repeated here.

[0090] This application also provides an electronic device, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the above-described electrolytic water hydrogen production power management method. This electronic device can be any smart terminal, including tablet computers, in-vehicle computers, etc.

[0091] Please see Figure 5 , Figure 5 The hardware structure of an electronic device according to another embodiment is illustrated. The electronic device includes:

[0092] The processor 501 can be implemented using a general-purpose CPU (Central Processing Unit), microprocessor, application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of this application.

[0093] The memory 502 can be implemented as a read-only memory (ROM), static storage device, dynamic storage device, or random access memory (RAM). The memory 502 can store the operating system and other applications. When the technical solutions provided in the embodiments of this specification are implemented through software or firmware, the relevant program code is stored in the memory 502 and is called and executed by the processor 501 to execute the electrolytic water hydrogen production power management method of the embodiments of this application.

[0094] The input / output interface 503 is used to implement information input and output;

[0095] The communication interface 504 is used to enable communication and interaction between this device and other devices. Communication can be achieved through wired means (such as USB, network cable, etc.) or wireless means (such as mobile network, WIFI, Bluetooth, etc.).

[0096] Bus 505 transmits information between various components of the device (e.g., processor 501, memory 502, input / output interface 503, and communication interface 504);

[0097] The processor 501, memory 502, input / output interface 503 and communication interface 504 are connected to each other within the device via bus 505.

[0098] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described electrolytic water hydrogen production power management method.

[0099] Memory, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs and non-transitory computer-executable programs. Furthermore, memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory may optionally include memory remotely located relative to the processor, and these remote memories can be connected to the processor via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0100] The electrolysis hydrogen production power management method, system, electronic device, and storage medium provided in this application directly connect a photovoltaic power generation device to the electrolysis hydrogen production device. Based on the fuzzy control principle and set fuzzy rules, the membership relationship between the photovoltaic power supply, the electrolysis power demand, and the electrolysis intensity is determined, so that the electrolysis intensity of the electrolysis hydrogen production device is positively correlated with the photovoltaic power supply and the electrolysis power demand, respectively. Then, according to the electrolysis intensity indicated by the real-time membership relationship, the corresponding working mode is selected to control the electrolysis hydrogen production device, so that the power operating point of the photovoltaic power generation device directly connected to the electrolyzer is matched with the working power of the electrolyzer, thereby improving energy utilization.

[0101] The embodiments described in this application are for the purpose of more clearly illustrating the technical solutions of the embodiments of this application, and do not constitute a limitation on the technical solutions provided by the embodiments of this application. As those skilled in the art will know, with the evolution of technology and the emergence of new application scenarios, the technical solutions provided by the embodiments of this application are also applicable to similar technical problems.

[0102] Those skilled in the art will understand that the technical solutions shown in the figures do not constitute a limitation on the embodiments of this application, and may include more or fewer steps than shown, or combine certain steps, or different steps.

[0103] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0104] Those skilled in the art will understand that all or some of the steps in the methods disclosed above, as well as the functional modules / units in the systems and devices, can be implemented as software, firmware, hardware, or suitable combinations thereof.

[0105] The terms “first,” “second,” “third,” “fourth,” etc. (if present) in the specification and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms “comprising” and “having,” and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0106] It should be understood that in this application, "at least one (item)" means one or more, and "more than" means two or more. "And / or" is used to describe the relationship between related objects, indicating that three relationships can exist. For example, "A and / or B" can represent three cases: only A exists, only B exists, and both A and B exist simultaneously, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one (item) of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one (item) of a, b, or c can represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, and c can be single or multiple.

[0107] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of the units described above is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0108] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0109] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0110] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes multiple instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing programs, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0111] The preferred embodiments of the present application have been described above with reference to the accompanying drawings, but this does not limit the scope of the claims of the present application. Any modifications, equivalent substitutions, and improvements made by those skilled in the art without departing from the scope and substance of the embodiments of the present application shall be within the scope of the claims of the present application.

Claims

1. A method for managing the electrical energy of hydrogen production through water electrolysis, characterized in that, include: The photovoltaic power supply and the electricity required for electrolysis are obtained; the photovoltaic power supply is the real-time power supply of the photovoltaic power generation device, and the electricity required for electrolysis is the real-time electricity required for the water electrolysis hydrogen production device; the photovoltaic power generation device is directly electrically connected to the water electrolysis hydrogen production device. The photovoltaic power supply, the electricity required for electrolysis, and the electrolysis intensity of the water electrolysis hydrogen production device are fuzzified to obtain the fuzzification result. The membership relationship between photovoltaic power supply, electrolysis power demand, and electrolysis intensity is determined based on fuzzy rules and fuzzification results to obtain real-time membership relationships. The electrolysis power demand includes the buffer battery charge and the hydrogen storage tank pressure. The fuzzy rules state that the electrolysis intensity is positively correlated with the photovoltaic power supply and the buffer battery charge, and negatively correlated with the hydrogen storage tank pressure. By defuzzifying the membership output, the corresponding working mode is selected to control the water electrolysis hydrogen production device based on the electrolysis intensity indicated by the real-time membership relationship. The precise value of the membership output is sent to the execution unit of the water electrolysis hydrogen production device, and the execution unit controls the multiple electrolysis stacks configured in the water electrolysis hydrogen production device. The electrolysis intensity is set by adjusting the number of electrolysis stacks that are turned on.

2. The method for managing the electricity consumption of hydrogen production through water electrolysis according to claim 1, characterized in that, The process of fuzzifying the photovoltaic power supply, the electricity required for electrolysis, and the electrolysis intensity of the water electrolysis hydrogen production device includes: Construct membership functions; Based on the membership function, the photovoltaic power supply, electrolysis power demand, and electrolysis intensity are converted into fuzzy language of the object and output as the fuzzification result.

3. The method for managing the electricity consumption of hydrogen production through water electrolysis according to claim 1, characterized in that, The determination of the membership relationship between photovoltaic power supply, electrolysis power demand, and electrolysis intensity based on fuzzy rules and fuzzification results includes: Determine the membership degree of photovoltaic power supply and electrolysis power requirement; The membership degree of electrolysis intensity is determined by querying the preset fuzzy rule base and the membership degree of photovoltaic power supply and electrolysis power demand. The membership value of the electrolytic intensity is determined based on the range and membership degree of the electrolytic intensity. The membership degree of the electrolytic intensity is multiplied by its membership value to obtain the electrolytic intensity adjustment parameter. The electrolysis intensity adjustment parameters are calibrated using preset calibration parameters.

4. The method for managing the electricity consumption of hydrogen production through water electrolysis according to claim 3, characterized in that, The required electricity for electrolysis includes the charge of the buffer battery and the pressure of the hydrogen storage tank. The fuzzy rule is that the electrolysis intensity is positively correlated with the charge of the buffer battery and negatively correlated with the pressure of the hydrogen storage tank.

5. A water electrolysis hydrogen production power management system, characterized in that, include: Electrolysis of water to produce hydrogen; The photovoltaic power generation device is directly electrically connected to the water electrolysis hydrogen production device; The management module is used to execute the electrolysis hydrogen production power management method according to any one of claims 1 to 4.

6. The water electrolysis hydrogen production power management system according to claim 5, characterized in that, The water electrolysis hydrogen production device includes an execution unit, multiple sets of electrolyzers, a purification and pressurization unit, a hydrogen storage tank, and a buffer battery. The execution unit, the electrolyzers, the purification and pressurization unit, and the hydrogen storage tank are connected in sequence, and the buffer battery is connected to a DC bus.

7. The water electrolysis hydrogen production power management system according to claim 5, characterized in that, Also includes: A maximum power tracker, connected to the photovoltaic power generation device, is used to maintain the photovoltaic power supply at its maximum value and to transmit the electrical energy of the photovoltaic power generation device to the busbar connected to the water electrolysis hydrogen production device.

8. An electronic device, characterized in that, The electronic device includes a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, it implements the electrolytic water hydrogen production power management method according to any one of claims 1 to 4.

9. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the electrolytic hydrogen production power management method according to any one of claims 1 to 4.

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