Hydrogen energy storage power generation control method, system and equipment considering fluctuation input and medium

Abstract

The invention belongs to the technical field of comprehensive energy, and particularly relates to a hydrogen energy storage power generation control method, system and equipment considering fluctuation input and a medium. The method comprises the following steps: constructing a hydrogen energy storage power generation model based on a hydrogen energy storage power generation system; acquiring fluctuation output of each unit in the hydrogen energy storage power generation system according to the energy storage power generation model; and inputting the fluctuation into a preset energy conversion efficiency optimal model to obtain current output under the optimal energy utilization efficiency. The hydrogen-to-electricity conversion efficiency and the electricity-to-hydrogen conversion efficiency of the system are improved by regulating and controlling the output of the electrolytic cell, the hydrogen storage tank and the hydrogen fuel cell and by taking the optimal energy conversion efficiency as a target.

Description

Technical Field

[0001] This invention belongs to the field of integrated energy technology, specifically relating to a hydrogen energy storage power generation control method, system, equipment, and medium that takes into account fluctuating input. Background Technology

[0002] The large-scale consumption of fossil fuels has led to a series of problems, including environmental pollution, climate change, and resource shortages. The large-scale, efficient utilization and clean substitution of renewable energy are key to solving these problems and achieving a low-carbon transition. However, the temporal instability of renewable energy sources such as wind and solar power, coupled with the peak-valley fluctuations of end-user energy loads, poses a significant challenge to the safe and stable operation of a new power system dominated by new energy sources. Hydrogen production technology based on renewable energy-powered water electrolysis converts electrical energy into chemical energy. Its operation is not limited by Carnot cycle efficiency and offers advantages such as high efficiency and zero pollution. It can also realize the storage and transmission of electrical energy, making it an effective way to address the high proportion of renewable energy consumption in future new energy systems.

[0003] Hydrogen production via water electrolysis uses water as a reactant, applying direct current in an electrolysis device to produce hydrogen and oxygen. While solid oxide water electrolysis technology boasts low energy consumption and high efficiency, its high operating temperature imposes stringent requirements on material stability and corrosion resistance, and it remains in the research and development stage. Traditional alkaline water electrolysis technology is the most mature, requiring no precious metal catalysts and already achieving large-scale industrial application. However, its current density is relatively low, resulting in poor adaptability to load variations. Proton exchange membrane water electrolysis technology offers high current density, high flexibility, and good compatibility with renewable energy sources. Summary of the Invention

[0004] The purpose of this invention is to provide a hydrogen energy storage power generation control method, system, device and medium that takes into account fluctuating input, so as to solve the technical problem that the existing technology cannot achieve the optimal energy utilization efficiency conversion of current output.

[0005] To achieve the above objectives, the present invention adopts the following technical solution: In a first aspect, the present invention provides a hydrogen energy storage power generation control method considering fluctuating input, comprising: Construct a hydrogen energy storage power generation model based on a hydrogen energy storage power generation system; The fluctuation output of each unit in the hydrogen energy storage power generation system is obtained based on the energy storage power generation model; The fluctuation is input into a preset optimal energy conversion efficiency model to obtain the current output under the optimal energy utilization efficiency.

[0006] Preferably, the hydrogen energy storage power generation system includes an electrolyzer, a hydrogen storage tank, and a hydrogen fuel cell; the hydrogen energy storage power generation model includes an electrolyzer unit, a hydrogen storage tank unit, and a hydrogen fuel cell unit.

[0007] Preferably, the total voltage of the electrolytic cell unit is expressed as:

[0008]

[0009]

[0010]

[0011]

[0012]

[0013] In the formula, V cell This is the total voltage; V ocv This is the open-circuit voltage; η act To activate the overpotential; η ohm For Ohm's overpotential; P H 2 represents the partial pressure of hydrogen at the cathode; P H 2 represents the partial pressure of hydrogen at the cathode; a H 2 O The activity of water; T This refers to the operating temperature of the fuel cell stack. V 0 represents the reversible electromotive force under standard pressure; α an The anodic charge transfer coefficient; α cat The cathode charge transfer coefficient; i Current density; i 0,an This represents the anode exchange current density. i 0,cat This represents the cathode exchange current density. δ m For film thickness; σ m The membrane conductivity is denoted as .

[0014] Preferably, the state equation of the hydrogen storage tank unit is:

[0015] In the formula C p,H2 W is the specific heat capacity of hydrogen. cp η is the outlet gas velocity; k is the specific heat ratio of hydrogen under standard conditions; η is the specific heat ratio of hydrogen under standard conditions. cp This refers to the compressor efficiency; P1 and P2 are the inlet and outlet pressures, respectively.

[0016] Preferably, the output voltage of the hydrogen fuel cell unit is:

[0017] In the formula: The Nernst electromotive force; For activation polarization loss; This refers to ohmic polarization loss.

[0018] Preferably, the preset optimal energy conversion efficiency model is:

[0019]

[0020] In the formula: The power consumption of hydrogen production and its auxiliary equipment; The power consumed by the nth electrolyzer at time t for hydrogen production; The number of electrolytic cells; The amount of electricity consumed per hour to process each kilogram of hydrogen for the electrolyzer's supporting facilities; The amount of hydrogen produced by the nth electrolyzer at time t; For time intervals; This is the sensible calorific value of hydrogen. For the nth electrolytic cell, the value includes the midpoint. The efficiency of hydrogen production by electrolysis at time t within the time interval; This refers to the rated power of a single electrolytic cell.

[0021] A second aspect of the present invention provides a hydrogen energy storage and power generation control system that takes into account fluctuating input, comprising: The model building module is used to build hydrogen storage power generation models based on hydrogen energy storage power generation systems. The acquisition module is used to acquire the fluctuation output of each unit in the hydrogen energy storage power generation system according to the energy storage power generation model; The optimal conversion module is used to convert the fluctuation input into a preset optimal energy conversion efficiency model to obtain the current output under the optimal energy utilization efficiency.

[0022] Preferably, in the optimal conversion module, the preset optimal energy conversion efficiency model is:

[0023]

[0024] In the formula: The power consumption of hydrogen production and its auxiliary equipment; The power consumed by the nth electrolyzer at time t for hydrogen production; The number of electrolytic cells; The amount of electricity consumed per hour to process each kilogram of hydrogen for the electrolyzer's supporting facilities; The amount of hydrogen produced by the nth electrolyzer at time t; For time intervals; This is the sensible calorific value of hydrogen. For the nth electrolytic cell, the value includes the midpoint. The efficiency of hydrogen production by electrolysis at time t within the time interval; This refers to the rated power of a single electrolytic cell.

[0025] In a third aspect, the present invention provides an electronic device including a processor and a memory, the processor being configured to execute a computer program stored in the memory to implement the hydrogen energy storage power generation control method considering fluctuating inputs as described in any of the preceding claims.

[0026] In a fourth aspect, the present invention provides a computer-readable storage medium storing at least one instruction that, when executed by a processor, implements the hydrogen energy storage power generation control method considering fluctuating input as described in any one of the preceding claims.

[0027] Compared with the prior art, the beneficial effects of the present invention are as follows: The integrated hydrogen energy storage system for new energy power plants consists of an electrolyzer, a hydrogen storage tank, and a hydrogen fuel cell. Fluctuating power input drives the electrolyzer to produce hydrogen. When load-side electricity demand decreases, excess hydrogen produced is stored in the hydrogen storage tank; when load-side electricity demand increases, the hydrogen fuel cell uses the hydrogen in the storage tank to generate electricity, participating in demand response such as grid frequency regulation. Fluctuating power input causes fluctuations in the electrolyzer's input current, altering its hydrogen production efficiency and thus affecting hydrogen production. When power input fluctuates, the electrolyzer's input current exhibits a fluctuating state. By adjusting the output of the electrolyzer, hydrogen storage tank, and hydrogen fuel cell, with the goal of optimizing energy conversion efficiency, the system's hydrogen-to-electricity and electricity-to-hydrogen efficiency can be improved. Modeling using this method allows for the study of the operating characteristics of the electrolyzer and fuel cell under fluctuating power input. Furthermore, this model can be used to study the impact of input current variations and hydrogen production power fluctuations on the overall system's energy conversion efficiency, thereby transforming fluctuating power input into stable output. Attached Figure Description

[0028] The accompanying drawings, which form part of this application, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an undue limitation of the invention. In the drawings: Figure 1 This is a flowchart of a method according to an embodiment of the present invention; Figure 2 This is a structural diagram of a hydrogen energy storage power generation system according to an embodiment of the present invention; Figure 3This is a block diagram of the hydrogen energy storage and power generation control system according to an embodiment of the present invention; Figure 4 This is a structural block diagram of an electronic device according to an embodiment of the present invention. Detailed Implementation

[0029] The present invention will now be described in detail with reference to the accompanying drawings and embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other.

[0030] The following detailed description is exemplary and intended to provide further detailed explanation of the invention. Unless otherwise specified, all technical terms used in this invention have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains. The terminology used in this invention is for the purpose of describing particular embodiments only and is not intended to limit the scope of exemplary embodiments according to the invention.

[0031] To address the aforementioned issues, an electrolyzer coupled with a hydrogen storage device and fuel cell power generation can be used to suppress short-term source-load fluctuations and improve the source-load imbalance. Hydrogen energy has the advantage of long-term energy storage; the hydrogen storage device can store excess hydrogen to supply the fuel cell. Furthermore, the active power generated by the fuel cell participates in grid regulation.

[0032] See Figure 1 This application discloses a hydrogen energy storage power generation control method considering fluctuating input, including: S1: Constructing a hydrogen energy storage power generation model based on a hydrogen energy storage power generation system; S2: Obtain the fluctuation output of each unit in the hydrogen energy storage power generation system based on the energy storage power generation model; S3: Input the fluctuation into the preset optimal energy conversion efficiency model to obtain the current output under the optimal energy utilization efficiency.

[0033] In some embodiments, see Figure 2 The hydrogen energy storage power generation system includes an electrolyzer, a hydrogen storage tank, and a hydrogen fuel cell; the hydrogen energy storage power generation model includes an electrolyzer unit, a hydrogen storage tank unit, and a hydrogen fuel cell unit.

[0034] More preferably, the total voltage of the electrolytic cell unit is expressed as:

[0035]

[0036]

[0037]

[0038]

[0039]

[0040] In the formula, V cell This is the total voltage; V ocv This is the open-circuit voltage; η act To activate the overpotential; η ohm For Ohm's overpotential; P H 2 represents the partial pressure of hydrogen at the cathode; P H 2 represents the partial pressure of hydrogen at the cathode; a H 2 O The activity of water; T This refers to the operating temperature of the fuel cell stack. V 0 represents the reversible electromotive force under standard pressure; α an The anodic charge transfer coefficient; α cat The cathode charge transfer coefficient; i Current density; i 0,an This represents the anode exchange current density. i 0,cat This represents the cathode exchange current density. δ m For film thickness; σ m The membrane conductivity is denoted as .

[0041] More preferably, the state equation of the hydrogen storage tank unit is:

[0042] In the formula C p,H2 W is the specific heat capacity of hydrogen. cp η is the outlet gas velocity; k is the specific heat ratio of hydrogen under standard conditions; η is the specific heat ratio of hydrogen under standard conditions. cp This refers to the compressor efficiency; P1 and P2 are the inlet and outlet pressures, respectively.

[0043] More preferably, the output voltage of the hydrogen fuel cell unit is:

[0044] In the formula: Enerst is the Nernst electromotive force; v act For activation polarization loss; V ohm This refers to ohmic polarization loss.

[0045] In some embodiments, the preset optimal energy conversion efficiency model is:

[0046]

[0047] In the formula: The power consumption of hydrogen production and its auxiliary equipment; The power consumed by the nth electrolyzer at time t for hydrogen production; The number of electrolytic cells; The amount of electricity consumed per hour to process each kilogram of hydrogen for the electrolyzer's supporting facilities; The amount of hydrogen produced by the nth electrolyzer at time t; For time intervals; This is the sensible calorific value of hydrogen. For the nth electrolytic cell, the value includes the midpoint. The efficiency of hydrogen production by electrolysis at time t within the time interval; This refers to the rated power of a single electrolytic cell.

[0048] In some embodiments, an integrated hydrogen energy storage system for new energy power stations (such as...) Figure 2 The system (as shown) consists of an electrolyzer, a hydrogen storage tank, and a hydrogen fuel cell. Fluctuating power input drives the electrolyzer to produce hydrogen. When load-side electricity demand decreases, excess hydrogen produced is stored in the hydrogen storage tank; when load-side electricity demand increases, the hydrogen fuel cell uses the hydrogen in the storage tank to generate electricity, participating in demand response mechanisms such as grid frequency regulation. Fluctuating power input causes fluctuations in the electrolyzer's input current, altering its hydrogen production efficiency and thus affecting hydrogen production. When fluctuating power input occurs, the electrolyzer's input current exhibits a fluctuating state. By adjusting the output of the electrolyzer, hydrogen storage tank, and hydrogen fuel cell, the system aims to optimize energy conversion efficiency, thereby improving both hydrogen-to-electricity and electricity-to-hydrogen conversion efficiency.

[0049] The modeling method for hydrogen energy storage power generation is as follows: Taking the electrolytic cell as the research object, its voltage consists of reversible potential and overpotential. In the overpotential, the diffusion overpotential is much smaller than the ohmic overpotential and the activation overpotential, so the diffusion overpotential can be neglected. Its total voltage... V cell It can be represented as:

[0050] In the formula: V ocv The open-circuit voltage is V; η act To activate the overpotential, V; η ohm Let V be the ohmic overpotential.

[0051] Open circuit voltage V ocvThis is the minimum potential difference required for hydrogen production through water electrolysis, which can be calculated using the Nernst equation and expressed as:

[0052] In the formula: P H 2 represents the partial pressure of hydrogen at the cathode, in Pa; P H 2 represents the partial pressure of hydrogen at the cathode, in Pa; a H 2 O The activity of water is denoted as 1. T The fuel cell stack operating temperature, in K; V 0 represents the reversible electromotive force under standard pressure. Reversible electromotive force. V 0 can be represented as:

[0053] Activation overpotential η act This is the potential loss of the electrochemical reaction during the electrolysis of water to produce hydrogen, calculated using the Butler-Volmer equation, and can be expressed as:

[0054] In the formula: α an The anodic charge transfer coefficient; α cat The cathode charge transfer coefficient; i Current density, A / cm 2 ; i 0,an The anode exchange current density is expressed in A / cm². 2 ; i 0,cat The cathode exchange current density is expressed in A / cm². 2 .

[0055] Ohmic overpotential η ohm This refers to the potential loss that occurs during the electrochemical reaction in an electrolytic cell due to the current flowing through the electrodes. Calculated using Ohm's law, it can be expressed as:

[0056] In the formula: δ m The thickness is the film thickness, in μm. σ m ν is the membrane conductivity, S / m.

[0057] membrane conductivity σ m It can be represented as

[0058] In the formula: λ This refers to the water content of the membrane.

[0059] For a hydrogen storage tank, its equation of state can be written as:

[0060] In the formula: C p,H2 The specific heat capacity of hydrogen is 14.233 kJ / (kg·K); W cp η is the outlet gas velocity, kg / s; k is the specific heat ratio of hydrogen under standard conditions, with a value of 1.4; η cp It represents the compressor efficiency; P1 and P2 are the inlet and outlet pressures, respectively, in MPa.

[0061] For fuel cells, their actual output voltage Size can be represented as:

[0062] In the formula: The Nernst electromotive force; For activation polarization loss; This refers to ohmic polarization loss.

[0063] Nernst electromotive force It can be represented as:

[0064] In the formula: Battery temperature, K; The partial pressure of hydrogen at the anode is Pa; The oxygen partial pressure at the cathode is Pa; Activation polarization loss It can be represented as:

[0065] In the formula: Battery voltage at zero current density; The polarization voltage increment can be calculated empirically. This refers to the current-time parameters during the battery charging and discharging process.

[0066] Ohmic polarization loss It can be represented as:

[0067] In the formula: α1, α2, and α3 are fitting coefficients derived from experience; γ represents the thickness of the membrane; γ represents the conductivity of the electrolyte.

[0068] The system energy management algorithm with the goal of optimizing energy conversion efficiency is as follows, taking into account the system's energy consumption and the hydrogen production of the electrolyzer:

[0069]

[0070] In the formula: Let be the power consumed by the nth electrolyzer at time t, in kW; An be the number of electrolyzers; Xe be the electricity consumed per hour by the electrolyzer's supporting facilities (water pumps, water processors, etc.) to process each kilogram of hydrogen, in kWh; The amount of hydrogen produced by the nth electrolyzer at time t is expressed in kg; Δt is the time interval, which is taken as 1 h in this paper. This is the sensible calorific value of hydrogen. Let be the efficiency of hydrogen production by electrolysis of the nth electrolyzer at time t within the time interval including the midpoint value tn; The rated power of a single electrolytic cell is expressed in kW.

[0071] The algorithm also constrains the output and load changes of the electrolyzer, hydrogen storage system, and fuel cell. First, an output state parameter is introduced, which is 1 during operation and 0 during shutdown. Second, constraints are imposed on the output state of each subsystem. This includes not only introducing upper and lower limits for subsystem output but also setting upper and lower limits for the fuel cell and electrolyzer output based on the characteristics of the hydrogen storage system to prevent overcharging or over-discharging of the hydrogen storage system. Finally, simulation calculations are performed to obtain the optimized system energy efficiency. like Figure 3 As shown, based on the same inventive concept as the above embodiments, the present invention also provides a hydrogen energy storage and power generation control system that considers fluctuating input, characterized in that it includes: The model building module is used to build hydrogen storage power generation models based on hydrogen energy storage power generation systems. The acquisition module is used to acquire the fluctuation output of each unit in the hydrogen energy storage power generation system according to the energy storage power generation model; The optimal conversion module is used to convert the fluctuation input into a preset optimal energy conversion efficiency model to obtain the current output under the optimal energy utilization efficiency.

[0072] In some embodiments, such as Figure 4 As shown, the present invention also provides an electronic device 100 for implementing a hydrogen energy storage power generation control method that takes into account fluctuating input; The electronic device 100 includes a memory 101, at least one processor 102, a computer program 103 stored in the memory 101 and executable on at least one processor 102, and at least one communication bus 104.

[0073] The memory 101 can be used to store the computer program 103. The processor 102 implements the steps of the hydrogen energy storage power generation control method that takes into account fluctuating inputs by running or executing the computer program stored in the memory 101 and calling the data stored in the memory 101.

[0074] The memory 101 may primarily include a program storage area and a data storage area. The program storage area may store the operating system, application programs required for at least one function (such as sound playback function, image playback function, etc.), etc.; the data storage area may store data created based on the use of the electronic device 100 (such as audio data), etc. In addition, the memory 101 may include non-volatile memory, such as hard disk, RAM, plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, at least one disk storage device, flash memory device, or other non-volatile solid-state storage device.

[0075] At least one processor 102 may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Processor 102 may be a microprocessor or any conventional processor. Processor 102 is the control center of electronic device 100, connecting various parts of electronic device 100 via various interfaces and lines.

[0076] The memory 101 in the electronic device 100 stores multiple instructions to implement a hydrogen energy storage power generation control method that takes into account fluctuating inputs, and the processor 102 can execute multiple instructions to achieve the following: S1: Constructing a hydrogen energy storage power generation model based on a hydrogen energy storage power generation system; S2: Obtain the fluctuation output of each unit in the hydrogen energy storage power generation system based on the energy storage power generation model; S3: Input the fluctuation into the preset optimal energy conversion efficiency model to obtain the current output under the optimal energy utilization efficiency.

[0077] In some embodiments, if the modules / units integrated in the electronic device 100 are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, and read-only memory (ROM).

[0078] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0079] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0080] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0081] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0082] In the description of this specification, references to terms such as "an embodiment," "example," "specific example," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0083] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the protection scope of the claims of the present invention.

Claims

1. A hydrogen energy storage power generation control method considering fluctuating input, characterized in that, include: Construct a hydrogen energy storage power generation model based on a hydrogen energy storage power generation system; The fluctuation output of each unit in the hydrogen energy storage power generation system is obtained based on the energy storage power generation model; The fluctuation is input into a preset optimal energy conversion efficiency model to obtain the current output under the optimal energy utilization efficiency.

2. The hydrogen energy storage power generation control method considering fluctuating input according to claim 1, characterized in that, The hydrogen energy storage power generation system includes an electrolyzer, a hydrogen storage tank, and a hydrogen fuel cell; the hydrogen energy storage power generation model includes an electrolyzer unit, a hydrogen storage tank unit, and a hydrogen fuel cell unit.

3. The hydrogen energy storage power generation control method considering fluctuating input according to claim 2, characterized in that, The total voltage of the electrolytic cell unit is expressed as follows: In the formula, V cell This is the total voltage; V ocv This is the open-circuit voltage; η act To activate the overpotential; η ohm For Ohm's overpotential; P H 2 represents the partial pressure of hydrogen at the cathode; P H 2 represents the partial pressure of hydrogen at the cathode; a H 2 O The activity of water; T This refers to the operating temperature of the fuel cell stack. V 0 represents the reversible electromotive force under standard pressure; α an The anodic charge transfer coefficient; α cat The cathode charge transfer coefficient; i Current density; i 0,an This represents the anode exchange current density. i 0,cat This represents the cathode exchange current density. δ m For film thickness; σ m The membrane conductivity is denoted as .

4. The hydrogen energy storage power generation control method considering fluctuating input according to claim 2, characterized in that, The state equation for the hydrogen storage tank unit is: In the formula C p,H2 W is the specific heat capacity of hydrogen. cp η is the outlet gas velocity; k is the specific heat ratio of hydrogen under standard conditions; η is the specific heat ratio of hydrogen under standard conditions. cp It refers to compressor efficiency; P1 and P2 are the inlet and outlet pressures, respectively.

5. The hydrogen energy storage power generation control method considering fluctuating input according to claim 2, characterized in that, The output voltage of the hydrogen fuel cell unit is: In the formula: The Nernst electromotive force; For activation polarization loss; This refers to ohmic polarization loss.

6. The hydrogen energy storage power generation control method considering fluctuating input according to claim 1, characterized in that, The preset optimal energy conversion efficiency model is: In the formula: The power consumption of hydrogen production and its auxiliary equipment; The power consumed by the nth electrolyzer at time t for hydrogen production; The number of electrolytic cells; The amount of electricity consumed per hour to process each kilogram of hydrogen for the electrolyzer's supporting facilities; The amount of hydrogen produced by the nth electrolyzer at time t; For time intervals; This is the sensible calorific value of hydrogen. For the nth electrolytic cell, the value includes the midpoint. The efficiency of hydrogen production by electrolysis at time t within the time interval; This refers to the rated power of a single electrolytic cell.

7. A hydrogen energy storage and power generation control system considering fluctuating input, characterized in that, include: The model building module is used to build hydrogen storage power generation models based on hydrogen energy storage power generation systems. The acquisition module is used to acquire the fluctuation output of each unit in the hydrogen energy storage power generation system according to the energy storage power generation model; The optimal conversion module is used to convert the fluctuation input into a preset optimal energy conversion efficiency model to obtain the current output under the optimal energy utilization efficiency.

8. A hydrogen energy storage and power generation control system considering fluctuating input according to claim 7, characterized in that, In the optimal conversion module, the preset optimal energy conversion efficiency model is: In the formula: The power consumption of hydrogen production and its auxiliary equipment; The power consumed by the nth electrolyzer at time t for hydrogen production; The number of electrolytic cells; The amount of electricity consumed per hour to process each kilogram of hydrogen for the electrolyzer's supporting facilities; The amount of hydrogen produced by the nth electrolyzer at time t; For time intervals; This is the sensible calorific value of hydrogen. For the nth electrolytic cell, the value includes the midpoint. The efficiency of hydrogen production by electrolysis at time t within the time interval; This refers to the rated power of a single electrolytic cell.

9. An electronic device, characterized in that, It includes a processor and a memory, the processor being used to execute a computer program stored in the memory to implement the hydrogen energy storage power generation control method considering fluctuating inputs as described in any one of claims 1 to 6.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores at least one instruction, which, when executed by a processor, implements the hydrogen energy storage power generation control method considering fluctuating inputs as described in any one of claims 1 to 6.

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