Method and device for optimizing capacity of photovoltaic hydrogen energy storage system

Abstract

The invention relates to the technical field of photovoltaic electrolytic hydrogen production, in particular to a photovoltaic hydrogen energy storage system capacity optimization method and device, and the method comprises the steps: obtaining a target parameter and an optimization target through a preset hydrogen energy storage priority storage strategy, building a constraint condition and a target function based on the target parameter and the optimization target, and finally carrying out the optimization of the capacity of a photovoltaic hydrogen energy storage system based on the target function and the constraint condition. And outputting the optimal configuration capacity of the photovoltaic hydrogen energy storage system. Therefore, according to the technical scheme, the configuration capacity of the photovoltaic hydrogen energy storage system can be reasonably optimized.

Description

Technical Field

[0001] The present invention relates to the technical field of photovoltaic electrolysis hydrogen production, and in particular to a method and device for optimizing the capacity of a photovoltaic hydrogen energy storage system. Background Art

[0002] The photovoltaic hydrogen energy storage system mainly includes photovoltaics, electrolyzers, hydrogen storage tanks and chemical energy batteries. In order to meet the hydrogen supply demand, it is necessary to constrain the hydrogen production of the electrolyzer to be no less than the hydrogen supply demand.

[0003] However, when optimizing the capacity of photovoltaic hydrogen energy storage systems in existing technologies, the photovoltaic hydrogen energy storage systems are usually dynamic in terms of hydrogen supply and do not consider the scenario of continuous and stable hydrogen supply, which results in the system being unable to reasonably optimize the configuration capacity.

[0004] Therefore, the present invention proposes a method and device for optimizing the capacity of a photovoltaic hydrogen energy storage system to solve the technical problem that the configuration capacity of a photovoltaic hydrogen energy storage system cannot be reasonably optimized. Summary of the invention

[0005] The present invention describes a method and device for optimizing the capacity of a photovoltaic hydrogen energy storage system, which can reasonably optimize the configuration capacity of the photovoltaic hydrogen energy storage system.

[0006] According to a first aspect, the present invention provides a method for optimizing the capacity of a photovoltaic hydrogen energy storage system, characterized by comprising:

[0007] Based on the preset hydrogen energy storage priority storage strategy, target parameters and optimization targets are obtained; wherein the target parameters include photovoltaic output, electrolyzer hydrogen production, hydrogen storage tank capacity and chemical energy battery capacity, and the optimization targets include economic cost, abandoned light penalty cost and electricity purchase cost;

[0008] Based on the target parameters and the optimization target, establishing constraints and objective functions; wherein the constraints include power balance constraints, chemical battery energy storage state constraints, hydrogen energy storage system constraints and photovoltaic output constraints;

[0009] Based on the objective function and the constraints, the optimal configuration capacity of the photovoltaic hydrogen energy storage system is output.

[0010] According to a second aspect, a device for optimizing the capacity of a photovoltaic hydrogen energy storage system comprises:

[0011] An acquisition unit is configured to obtain target parameters and optimization targets based on a preset hydrogen energy storage priority storage strategy; wherein the target parameters include photovoltaic output, electrolyzer hydrogen production, hydrogen storage tank capacity and chemical energy battery capacity, and the optimization target includes economic cost, abandoned light penalty cost and electricity purchase cost;

[0012] An establishing unit is configured to establish constraints and an objective function based on the target parameters and the optimization target; wherein the constraints include power balance constraints, chemical battery energy storage state constraints, hydrogen energy storage system constraints, and photovoltaic output constraints;

[0013] An output unit is configured to output the optimal configuration capacity of the photovoltaic hydrogen energy storage system based on the objective function and the constraint conditions.

[0014] In a third aspect, an embodiment of this specification further provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the method described in any embodiment of this specification is implemented.

[0015] In a fourth aspect, an embodiment of the present specification further provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed in a computer, the computer is caused to execute the method described in any embodiment of the present specification.

[0016] According to a photovoltaic hydrogen energy storage system capacity optimization method and device provided by the present invention, the target parameters and optimization targets are obtained through a preset hydrogen energy storage priority storage strategy, and then based on the target parameters and optimization targets, constraints and objective functions are established, and finally based on the objective function and the constraints, the optimal configuration capacity of the photovoltaic hydrogen energy storage system is output. Therefore, the above technical solution can reasonably optimize the configuration capacity of the photovoltaic hydrogen energy storage system. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 A schematic flow chart of a method for optimizing the capacity of a photovoltaic hydrogen energy storage system according to an embodiment is shown;

[0019] Figure 2 A schematic block diagram of a device for optimizing the capacity of a photovoltaic hydrogen energy storage system according to an embodiment is shown;

[0020] Figure 3 A flow chart showing a hydrogen energy storage priority storage strategy according to one embodiment is shown;

[0021] Figure 4 A flowchart of a multi-objective particle swarm algorithm according to an embodiment is shown;

[0022] Figure 5 A schematic diagram of a photovoltaic hydrogen energy storage system according to an embodiment is shown. DETAILED DESCRIPTION

[0023] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0024] Figure 1 A schematic flow chart of a method for optimizing the capacity of a photovoltaic hydrogen energy storage system according to an embodiment is shown. It can be understood that the method can be executed by any device, equipment, platform, or device cluster with computing and processing capabilities, and the method includes:

[0025] Step 100: based on the preset hydrogen energy storage priority storage strategy, target parameters and optimization targets are obtained; wherein the target parameters include photovoltaic output, electrolyzer hydrogen production, hydrogen storage tank capacity and chemical energy battery capacity, and the optimization targets include economic cost, abandoned light penalty cost and electricity purchase cost;

[0026] Step 102: Based on the target parameters and the optimization target, establish constraint conditions and objective functions; wherein the constraint conditions include power balance constraint, chemical battery energy storage state constraint, hydrogen energy storage system constraint and photovoltaic output constraint;

[0027] Step 104: Based on the objective function and the constraints, output the optimal configuration capacity of the photovoltaic hydrogen energy storage system.

[0028] In this embodiment, if Figure 3 As shown, the priority storage strategies for hydrogen energy storage include:

[0029] Determine the configuration capacity of photovoltaic modules, electrolyzers, hydrogen storage tanks and chemical energy batteries, and calculate the photovoltaic output based on irradiation;

[0030] When the photovoltaic output can meet the needs of the electrolyzer to produce hydrogen and the hydrogen storage tank capacity can store the remaining hydrogen, the hydrogen storage tank will store hydrogen;

[0031] When the photovoltaic output is sufficient to supply electricity to the electrolyzer for hydrogen production and the hydrogen storage tank capacity cannot store the remaining hydrogen, the chemical energy battery is charged;

[0032] When the photovoltaic output cannot meet the needs of the electrolyzer to produce hydrogen and the chemical energy battery can meet the needs of the electrolyzer to produce hydrogen, the chemical energy battery will discharge;

[0033] When the photovoltaic output cannot meet the needs of the electrolyzer to produce hydrogen and the chemical energy battery cannot meet the needs of the electrolyzer to produce hydrogen, the hydrogen storage tank will supply hydrogen;

[0034] When the chemical battery capacity cannot store the remaining green electricity and electricity is abandoned, the abandonment rate of the photovoltaic hydrogen energy storage system is calculated;

[0035] When the photovoltaic output cannot meet the needs of the electrolyzer for powering hydrogen production, the chemical energy battery cannot meet the needs of the electrolyzer for powering hydrogen production, and the hydrogen storage tank capacity cannot meet the needs of the electrolyzer for powering hydrogen production, the power purchase rate of the photovoltaic hydrogen energy storage system is calculated;

[0036] When the system runs longer than the preset time, the abandoned light rate and purchased electricity rate are output.

[0037] See also Figure 5 The photovoltaic hydrogen energy storage system consists of photovoltaics, electrolyzers, hydrogen storage tanks and chemical energy batteries. Among them, the electrolyzer can receive three sources of electricity from photovoltaic power generation, chemical energy battery discharge and power purchase from the power grid. The hydrogen produced can meet the hydrogen supply demand and can also be stored in the hydrogen storage tank. The hydrogen storage tank is responsible for storing hydrogen and supplying hydrogen, and the chemical energy battery stores photovoltaic power generation and supplies electricity to the electrolyzer. For the hydrogen energy storage priority strategy, when the photovoltaic output supplies electricity to the electrolyzer to produce hydrogen to meet the hydrogen supply demand and there is still green electricity remaining, the hydrogen storage tank is given priority to store hydrogen and then consider charging the chemical energy battery. When the photovoltaic output is insufficient to supply hydrogen, the chemical energy battery discharge is given priority to produce hydrogen and then consider releasing hydrogen from the hydrogen storage tank.

[0038] In this embodiment, when optimizing the capacity of a photovoltaic hydrogen energy storage system, the existing method usually models the equipment in the system including photovoltaic modules, electrolyzers, hydrogen storage tanks, etc., takes power balance, equipment operating status and electricity demand as constraints, and optimizes the configuration capacity of various equipment in the system with low economy, low abandonment rate and maximum hydrogen energy output as the goals. The consideration for abandonment and purchase of electricity is the proportion of abandonment and purchase of electricity, both of which are very small values ​​relative to the economic cost in the optimization target. The result obtained by the optimization algorithm for solving the optimization target with three orders of magnitude completely unbalanced is unreasonable. In addition to satisfying the power balance constraints and equipment operating status constraints of the photovoltaic hydrogen energy storage system, the method proposed in the present invention also adds hydrogen energy storage system constraints, and performs multi-objective optimization with economic cost, abandonment penalty cost and electricity purchase cost as the goals.

[0039] Through the preset hydrogen energy storage priority storage strategy, the target parameters and optimization targets are obtained, and then based on the target parameters and optimization targets, the constraints and objective functions are established. Finally, based on the objective function and constraints, the optimal configuration capacity of the photovoltaic hydrogen energy storage system is output. Therefore, the above technical solution can reasonably optimize the configuration capacity of the photovoltaic hydrogen energy storage system.

[0040] In some implementations, a multi-objective particle swarm algorithm is used based on the objective function and constraints to solve the capacity configuration of the photovoltaic hydrogen energy storage system and obtain the optimal configuration capacity solution, so that the economic cost of the photovoltaic hydrogen energy storage system capacity configuration, the penalty cost of abandoned light, and the cost of purchasing electricity are relatively minimized, such as Figure 4 The solution process shown includes:

[0041] Define the position and velocity of particles, and randomly generate the initial particle swarm based on the configuration capacity of each component;

[0042] Based on the objective function, calculate the fitness value of each particle;

[0043] Compare the current fitness value of each particle with the historical optimal value, and update the historical optimal solution of each particle;

[0044] Compare the historical optimal values ​​of all particles and update the global optimal solution;

[0045] Update the position and speed of each particle based on its current position, speed, historical optimal solution and global optimal solution;

[0046] When the preset maximum number of iterations or objective function is reached, the final global optimal solution is output.

[0047] In one embodiment of the present invention, the hydrogen production of the electrolyzer is determined by the following formula:

[0048] P out_H2 (t) = η1P in_ele (t)

[0049] Where P out_H2 (t) is the hydrogen production of the electrolyzer, η1 is the conversion ratio of electricity to hydrogen in the electrolyzer, P in_ele (t) is the input power of the electrolyzer.

[0050] In one embodiment of the present invention, the capacity of the hydrogen storage tank is determined by the following formula:

[0051]

[0052] In the formula, E H2(t) is the hydrogen storage capacity of the hydrogen storage tank, η2 is the storage efficiency of the hydrogen storage tank, η3 is the release efficiency of the hydrogen storage tank, D H2 (t) is the hydrogen delivery rate during hydrogen supply.

[0053] In one embodiment of the present invention, the capacity of the chemical energy battery is determined by the following formula:

[0054]

[0055] In the formula, E sc(t) is the remaining power, P sc_dis (t) is the discharge output power of the chemical energy battery when it supplies power to the electrolyzer, P sc_ch (t) is the charging output power when photovoltaic charges the chemical energy battery, η4 is the charging efficiency of the chemical energy battery, and η5 is the discharge efficiency of the chemical energy battery.

[0056] In one embodiment of the present invention, the economic cost includes annual investment and construction cost and operating cost;

[0057] The annual investment and construction cost is determined by the following formula:

[0058] C in =C in,electrolyzer +C in，H2 +C ii,sc

[0059]

[0060] In the formula, C in is the annual investment and construction cost, C electrolyzer is the annual investment cost of the electrolyzer, C H2 is the annual investment cost of the hydrogen storage tank, C sc is the annual investment cost of the chemical energy battery, ρ1 is the investment cost coefficient of the electrolyzer, ρ2 is the investment cost coefficient of the hydrogen storage tank, ρ3 is the investment cost coefficient of the chemical energy battery, R H2 is the configuration capacity of the hydrogen storage tank; R sc is the configuration capacity of the chemical energy battery; r is the annual interest rate; N is the operating life of the system.

[0061] In one embodiment of the present invention, the operating cost is determined by the following formula:

[0062]

[0063] In the formula, C o is the operating cost, C o，electrolyzer is the annual operating cost of the electrolyzer, C o，H2 is the annual operating cost of the hydrogen storage tank, C o，sc is the annual operating cost of the chemical energy battery.

[0064] In one embodiment of the present invention, the economic cost is determined by the following formula:

[0065] f1=C in +C o .

[0066] In one embodiment of the present invention, the light abandonment penalty cost is determined by the following formula:

[0067]

[0068] Where P excess (t) is the amount of abandoned light, and pricc(t) is the time-of-use electricity price of the power grid.

[0069] In this embodiment, the photovoltaic output varies with the change of light. If the photovoltaic output exceeds the load demand, it will cause abandonment of light. In the system, the capacity of the hydrogen energy storage system can be reasonably planned through the above formula to reduce the penalty cost of abandonment of light.

[0070] In one embodiment of the present invention, the electricity purchase cost is determined by the following formula:

[0071]

[0072] Where P buy (t) is the amount of electricity purchased from the power grid.

[0073] In this embodiment, power supply reliability is an important indicator to characterize the stability of system operation. Power purchase from the power grid is the key to achieving reliability. The power purchase cost of the power grid can be calculated by the above formula.

[0074] In one embodiment of the present invention, the power balance constraint is determined by the following formula:

[0075] P pv (t)+P buy (t)+P sc_dis (t) = P excess (t)+P in_ele (t)+P sc_ch (t)

[0076] Where P pv (t) is the photovoltaic power generation.

[0077] In one embodiment of the present invention, the chemical energy battery storage state constraint is determined by the following formula:

[0078]

[0079] In the formula, SOC sc (t) is the ratio of the remaining power to the battery capacity.

[0080] In one embodiment of the present invention, the hydrogen energy storage system constraint is determined by the following formula:

[0081]

[0082] In the formula, SOC sc_min (t) is the minimum ratio of remaining power to battery capacity, SOC sc_max (t) is the maximum ratio of remaining power to battery capacity.

[0083] In this embodiment, due to the capacity limitation of the hydrogen energy storage system, the input power of the electrolyzer, the amount of hydrogen filled in the hydrogen storage tank, the amount of hydrogen released from the hydrogen storage tank and the output power of the chemical energy battery need to meet certain requirements. The above formula can meet the system requirements.

[0084] In one embodiment of the present invention, the photovoltaic output constraint is determined by the following formula:

[0085]

[0086] Where P pv_out (t) is the photovoltaic output, is the maximum output power of photovoltaic power generation.

[0087] In one embodiment of the present invention, the objective function is determined by the following formula:

[0088]

[0089] In the formula, f1 is the economic cost, f2 is the penalty cost for abandoned light, f3 is the electricity purchase cost, w1 is the weight coefficient of the economic cost, w2 is the weight coefficient of the penalty cost for abandoned light, and w3 is the weight coefficient of the electricity purchase cost.

[0090] In this embodiment, the present invention models the photovoltaic, electrolyzer, hydrogen storage tank and chemical energy battery in the photovoltaic hydrogen energy storage system. In order to meet the continuous hydrogen supply, the hydrogen production rate of the hydrogen production equipment is required to be no less than the hydrogen supply rate. In addition, in order to make the optimization result more reasonable, the abandoned light penalty cost and the electricity purchase cost are used to replace the abandoned light rate and the electricity purchase rate.

[0091] According to an embodiment of another aspect, the present invention provides a device for optimizing the capacity of a photovoltaic hydrogen energy storage system. Figure 2 A schematic block diagram of a regulating device for a hydrogen production system converter according to an embodiment is shown. It is understood that the device can be implemented by any device, equipment, platform and equipment cluster with computing and processing capabilities. Figure 2 As shown, the device includes: an acquisition unit 200, a creation unit 202 and an output unit 204, wherein the main functions of each component unit are as follows:

[0092] The acquisition unit 200 is configured to obtain target parameters and optimization targets based on a preset hydrogen energy storage priority storage strategy; wherein the target parameters include photovoltaic output, electrolyzer hydrogen production, hydrogen storage tank capacity and chemical energy battery capacity, and the optimization targets include economic cost, abandoned light penalty cost and electricity purchase cost;

[0093] An establishing unit 202 is configured to establish constraints and an objective function based on target parameters and optimization targets; wherein the constraints include power balance constraints, chemical battery energy storage state constraints, hydrogen energy storage system constraints, and photovoltaic output constraints;

[0094] The output unit 204 is configured to output the optimal configuration capacity of the photovoltaic hydrogen energy storage system based on the objective function and the constraint conditions.

[0095] As a preferred embodiment, the hydrogen production of the electrolyzer is determined by the following formula:

[0096] P out_H2 (t) = η1P in_ele (t)

[0097] Where P out_H2 (t) is the hydrogen production of the electrolyzer, η1 is the conversion ratio of electricity to hydrogen in the electrolyzer, P in_ele (t) is the input power of the electrolyzer.

[0098] As a preferred embodiment, the capacity of the hydrogen storage tank is determined by the following formula:

[0099]

[0100] In the formula, E H2 (t) is the hydrogen storage capacity of the hydrogen storage tank, η2 is the storage efficiency of the hydrogen storage tank, η3 is the release efficiency of the hydrogen storage tank, D H2 (t) is the hydrogen delivery rate during hydrogen supply.

[0101] As a preferred embodiment, the capacity of the chemical energy battery is determined by the following formula:

[0102]

[0103] In the formula, E sc (t) is the remaining power, P sc_dis (t) is the discharge output power of the chemical energy battery when it supplies power to the electrolyzer, P sc_ch (t) is the charging output power when photovoltaic charges the chemical energy battery, η4 is the charging efficiency of the chemical energy battery, and η5 is the discharge efficiency of the chemical energy battery.

[0104] As a preferred implementation, the economic cost includes annual investment and construction cost and operating cost;

[0105] The annual investment and construction cost is determined by the following formula:

[0106] C in =C in，electrolyzer +C in，H2 +C in，sc

[0107]

[0108] In the formula, C in is the annual investment and construction cost, C electrolyzer is the annual investment cost of the electrolyzer, C H2 is the annual investment cost of the hydrogen storage tank, C sc is the annual investment cost of the chemical energy battery, ρ1 is the investment cost coefficient of the electrolyzer, ρ2 is the investment cost coefficient of the hydrogen storage tank, ρ3 is the investment cost coefficient of the chemical energy battery, R H2 is the configuration capacity of the hydrogen storage tank; R sc is the configuration capacity of the chemical energy battery; r is the annual interest rate; N is the operating life of the system.

[0109] As a preferred implementation, the operating cost is determined by the following formula:

[0110]

[0111] In the formula, C o is the operating cost, C o，electroluzer is the annual operating cost of the electrolyzer, C o，H2 is the annual operating cost of the hydrogen storage tank, C o，sc is the annual operating cost of the chemical energy battery.

[0112] As a preferred embodiment, the economic cost is determined by the following formula:

[0113] f1=C in +C o .

[0114] As a preferred implementation, the light abandonment penalty cost is determined by the following formula:

[0115]

[0116] Where P excess (t) is the amount of abandoned light, and pricc(t) is the time-of-use electricity price of the power grid.

[0117] As a preferred implementation, the electricity purchase cost is determined by the following formula:

[0118]

[0119] Where P buy (t) is the amount of electricity purchased from the power grid.

[0120] As a preferred implementation, the power balance constraint is determined by the following formula:

[0121] Ppv (t)+P buy (t)+P sc_dis (t) = P excess (t)+P in_ele (t)+P sc_ch (t)

[0122] Where P pv (t) is the photovoltaic power generation.

[0123] As a preferred implementation, the chemical energy battery energy storage state constraint is determined by the following formula:

[0124]

[0125] In the formula, SOC sc (t) is the ratio of the remaining power to the battery capacity.

[0126] As a preferred implementation, the hydrogen energy storage system constraint is determined by the following formula:

[0127]

[0128] In the formula, SOC sc_min (t) is the minimum ratio of remaining power to battery capacity, SOC sc_max (t) is the maximum ratio of remaining power to battery capacity.

[0129] As a preferred implementation, the photovoltaic output constraint is determined by the following formula:

[0130]

[0131] Where P pvout (t) is the photovoltaic output, is the maximum output power of photovoltaic power generation.

[0132] As a preferred embodiment, the objective function is determined by the following formula:

[0133]

[0134] In the formula, f1 is the economic cost, f2 is the penalty cost for abandoned light, f3 is the electricity purchase cost, w1 is the weight coefficient of the economic cost, w2 is the weight coefficient of the penalty cost for abandoned light, and w3 is the weight coefficient of the electricity purchase cost.

[0135] According to another embodiment, there is also provided a computer-readable storage medium having a computer program stored thereon, which, when executed in a computer, causes the computer to execute a combination of Figure 1 The method described.

[0136] According to another embodiment of the present invention, an electronic device is provided, including a memory and a processor, wherein an executable code is stored in the memory, and when the processor executes the executable code, the Figure 1 method.

[0137] The various embodiments of the present invention are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0138] Those skilled in the art should be aware that in one or more of the above examples, the functions described in the present invention can be implemented by hardware, software, firmware or any combination thereof. When implemented by software, these functions can be stored in a computer-readable medium or transmitted as one or more instructions or codes on a computer-readable medium.

[0139] The above specific implementation methods further illustrate the purpose, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above are only specific implementation methods of the present invention and are not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made on the basis of the technical solutions of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for optimizing the capacity of a photovoltaic hydrogen energy storage system, characterized in that: include: Based on the preset hydrogen energy storage priority storage strategy, target parameters and optimization targets are obtained; wherein the target parameters include photovoltaic output, electrolyzer hydrogen production, hydrogen storage tank capacity and chemical energy battery capacity, and the optimization targets include economic cost, abandoned light penalty cost and electricity purchase cost; Based on the target parameters and the optimization target, establishing constraints and objective functions; wherein the constraints include power balance constraints, chemical battery energy storage state constraints, hydrogen energy storage system constraints and photovoltaic output constraints; Based on the objective function and the constraints, the optimal configuration capacity of the photovoltaic hydrogen energy storage system is output.

2. The method according to claim 1, characterized in that The hydrogen production of the electrolyzer is determined by the following formula: P out_H2 (t)=η1P in_ele (t) Where P out_H2 (t) is the hydrogen production of the electrolyzer, η1 is the conversion ratio of electricity to hydrogen in the electrolyzer, P in_ele (t) is the input power of the electrolyzer; The hydrogen storage tank capacity is determined by the following formula: In the formula, E H2 (t) is the hydrogen storage capacity of the hydrogen storage tank, η2 is the storage efficiency of the hydrogen storage tank, η3 is the release efficiency of the hydrogen storage tank, D H2 (t) is the hydrogen delivery rate during hydrogen supply; The chemical energy battery capacity is determined by the following formula: In the formula, E sc (t) is the remaining power, P sc_dis (t) is the discharge output power of the chemical energy battery when it supplies power to the electrolyzer, P sc_ch (t) is the charging output power when photovoltaic charges the chemical energy battery, η4 is the charging efficiency of the chemical energy battery, and η5 is the discharge efficiency of the chemical energy battery.

3. The method according to claim 2, characterized in that The economic cost includes annual investment and construction cost and operating cost; The annual investment and construction cost is determined by the following formula: C in =C in，electrolyzer +C in，H2 +C in，sc In the formula, C in is the annual investment and construction cost, C electrolyzer is the annual investment cost of the electrolyzer, C H2 is the annual investment cost of the hydrogen storage tank, C sc is the annual investment cost of the chemical energy battery, ρ1 is the investment cost coefficient of the electrolyzer, ρ2 is the investment cost coefficient of the hydrogen storage tank, ρ3 is the investment cost coefficient of the chemical energy battery, R H2 is the configuration capacity of the hydrogen storage tank; R sc is the configuration capacity of the chemical energy battery; r is the annual interest rate; N is the system operation life; The operating cost is determined by the following formula: In the formula, C o is the operating cost, C o，electrolyzer is the annual operating cost of the electrolyzer, C o，H2 is the annual operating cost of the hydrogen storage tank, C o，sc The annual operating cost of the chemical energy battery; The economic cost is determined by the following formula: f1=C in +C o .

4. The method according to claim 3, characterized in that The penalty cost for abandoning light is determined by the following formula: Where P excess (t) is the amount of abandoned light, and price(t) is the time-of-use electricity price of the power grid.

5. The method according to claim 4, characterized in that The electricity purchase cost is determined by the following formula: Where P buy (t) is the amount of electricity purchased from the power grid.

6. The method according to claim 5, characterized in that The power balance constraint is determined by the following formula: P pv (t)+P buy (t)+P sc_dis (t)=P excess (t)+P in_ele (t)+P sc_ch (t) Where P pv (t) is the photovoltaic power generation; The chemical energy battery storage state constraint is determined by the following formula: In the formula, SOC sc (t) is the ratio of remaining power to battery capacity; The hydrogen energy storage system constraint is determined by the following formula: In the formula, SOC sc_min (t) is the minimum ratio of remaining power to battery capacity, SOC sc_max (t) is the maximum ratio of remaining power to battery capacity; The photovoltaic output constraint is determined by the following formula: 0≤P pv_out (t)≤P PV_max Where P pv_out (t) is the photovoltaic output, P PV_max is the maximum output power of photovoltaic power generation.

7. The method according to claim 6, characterized in that The objective function is determined by the following formula: In the formula, f1 is the economic cost, f2 is the penalty cost for abandoned light, f3 is the electricity purchase cost, w1 is the weight coefficient of the economic cost, w2 is the weight coefficient of the penalty cost for abandoned light, and w3 is the weight coefficient of the electricity purchase cost.

8. A device for optimizing the capacity of a photovoltaic hydrogen energy storage system, characterized in that: include: An acquisition unit is configured to obtain target parameters and optimization targets based on a preset hydrogen energy storage priority storage strategy; wherein the target parameters include photovoltaic output, electrolyzer hydrogen production, hydrogen storage tank capacity and chemical energy battery capacity, and the optimization target includes economic cost, abandoned light penalty cost and electricity purchase cost; An establishing unit is configured to establish constraints and an objective function based on the target parameters and the optimization target; wherein the constraints include power balance constraints, chemical battery energy storage state constraints, hydrogen energy storage system constraints, and photovoltaic output constraints; An output unit is configured to output the optimal configuration capacity of the photovoltaic hydrogen energy storage system based on the objective function and the constraint conditions.

9. An electronic device, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the method according to any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed in a computer, the computer is caused to execute the method according to any one of claims 1 to 7.

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