Photovoltaic hydrogen production-based hydrogen-electricity coupling hydrogen production scheduling system and electric energy scheduling optimization method

Abstract

The invention discloses a photovoltaic hydrogen production-based hydrogen-electricity coupling hydrogen production scheduling system and an electric energy scheduling optimization method. The system comprises a photovoltaic power generation unit, a hydrogen production unit and a load unit, the photovoltaic power generation unit comprises a photovoltaic cell panel and a fuel cell, the photovoltaic cell panel is electrically connected with the direct current bus through an AC / DC converter, and the fuel cell is electrically connected with the direct current bus through a DC / DC converter; the hydrogen production unit comprises an electrolytic cell, a compressor, a hydrogen storage tank, a hydrogenation machine and a hydrogenation vehicle, the electrolytic cell is electrically connected with the direct current bus through a DC / DC converter, the electrolytic cell is connected with the hydrogen storage tank through the compressor, and the hydrogen storage tank is connected with the hydrogenation machine and the hydrogenation vehicle; the load unit comprises a charging pile and an electric vehicle. The charging pile is directly connected with the DC bus. The problem of optimal energy scheduling in the hydrogen production system integrating photovoltaic power generation is solved, and the optimal scheduling strategy of the hydrogen-electricity coupling hydrogen production scheduling system is obtained by constructing the scheduling strategy of the hydrogen-electricity coupling hydrogen production scheduling system and optimizing the scheduling strategy of the hydrogen-electricity coupling hydrogen production scheduling system.

Description

Technical Field

[0001] The present invention relates to the technical field of electrolytic hydrogen production, and in particular to a hydrogen-electric coupled hydrogen production scheduling system based on photovoltaic hydrogen production and an electric energy scheduling optimization method. Background Art

[0002] Since the random changes of renewable energy and load make the operation state of microgrid complex, the conversion efficiency of electricity-hydrogen energy, the pressure of energy storage system, power distribution and other issues need to be considered in the microgrid integrated with hydrogen production, as well as the safety and reliability of microgrid operation. The scheduling of conventional microgrids integrated with electric vehicles or hydrogen energy vehicles takes the lowest operating cost, the highest environmental benefit and the maximum net profit as the optimization goals, while considering the output of generator sets, the utilization rate of renewable energy, the life loss of equipment, the load power failure rate, and the efficiency of hydrogen-electric energy conversion. In the microgrid integrated with hydrogen and electricity supply, hydrogen can be directly supplied to hydrogen fuel cells, or it can be converted into electricity through fuel cells to maintain the balance of power supply in the grid, thereby improving the flexibility of microgrid scheduling. Under the random changes of weather conditions and loads, the operation mode and state of the microgrid also change; therefore, it is necessary to design a hydrogen-electricity coupled hydrogen production scheduling system based on photovoltaic hydrogen production and an electricity scheduling optimization method to solve the above problems. Summary of the invention

[0003] The technical problem to be solved by the present invention is to provide a hydrogen-electricity coupled hydrogen production scheduling system based on photovoltaic hydrogen production and an electric energy scheduling optimization method to solve the problem of optimal energy scheduling in the hydrogen production system that integrates photovoltaic power generation, and to obtain the optimal scheduling strategy of the hydrogen-electricity coupled hydrogen production scheduling system by constructing a scheduling strategy for the hydrogen-electricity coupled hydrogen production scheduling system and optimizing it.

[0004] In order to solve the above technical problems, the technical solution adopted by the present invention is: A hydrogen-electricity coupled hydrogen production scheduling system based on photovoltaic hydrogen production includes a photovoltaic power generation unit, a hydrogen production unit and a load unit; the photovoltaic power generation unit includes a photovoltaic panel and a fuel cell, the photovoltaic panel is electrically connected to the DC bus through an AC / DC converter, and the fuel cell is electrically connected to the DC bus through a DC / DC converter; the hydrogen production unit includes an electrolyzer, a compressor, a hydrogen storage tank, a hydrogen refueling machine and a hydrogen refueling vehicle, the electrolyzer is electrically connected to the DC bus through a DC / DC converter, the electrolyzer is connected to the hydrogen storage tank through a compressor, and the hydrogen storage tank is connected to the hydrogen refueling machine and the hydrogen refueling vehicle; the load unit includes a charging pile and an electric vehicle, and the charging pile is directly connected to the DC bus.

[0005] Preferably, the method for optimizing electric energy dispatching of a hydrogen-electric coupled hydrogen production dispatching system based on photovoltaic hydrogen production comprises the following steps: S1, construct various working states of hydrogen-electricity coupled hydrogen production scheduling system; S2, constructing the scheduling strategy of hydrogen-electricity coupled hydrogen production scheduling system based on the working status; S3, construct an electric energy dispatch optimization model to optimize the dispatch strategy of the hydrogen-electricity coupled hydrogen production dispatch system.

[0006] Preferably, in step S1, the various working states of the hydrogen-electricity coupled hydrogen production scheduling system include: State 1: In the absence of light and any hydrogen-electric load, the electrolyzer produces hydrogen and is stored in the hydrogen storage tank; State 2: When there is no light, hydrogen load and no electrical load, the electrolyzer produces hydrogen to supply the hydrogen load, and the hydrogen storage tank dynamically adjusts to balance the fluctuation of the hydrogen load; State 3: When there is no light, hydrogen load and electricity load, if the output of renewable energy is greater than the sum of hydrogen load and electricity load, the hydrogen storage tank stores the remaining energy; State 4: When there is no light, hydrogen load and electric load, if the output of renewable energy is less than the sum of hydrogen load and electric load, the hydrogen storage tank releases hydrogen to supply the hydrogen load and the fuel cell to supply the electric load; State 5: When there is light but no hydrogen load or electrical load, the electrolyzer produces hydrogen and stores it in the hydrogen storage tank; State 6: When there is light, hydrogen load and no electricity load, if the renewable energy output is greater than the hydrogen load, the electrolyzer produces hydrogen to supply the hydrogen load, and the remaining energy is stored in the hydrogen storage tank; State 7: When there is light, hydrogen load and no electricity load, if the output of renewable energy is less than the hydrogen load, the electrolyzer and hydrogen storage tank work together to balance the hydrogen load demand; State 8: When there is light, hydrogen load and electricity load, if the output of renewable energy is greater than the sum of the hydrogen load and the electricity load, the remaining electricity is converted into hydrogen and stored in the hydrogen storage tank.

[0007] State 9: When there is light, hydrogen load and electricity load, if the output of renewable energy is less than the sum of hydrogen load and electricity load, the hydrogen storage tank releases hydrogen to make up for the shortage of hydrogen load, and the fuel cell makes up for the shortfall of electricity load.

[0008] Preferably, in step S2, constructing a scheduling strategy for the hydrogen-electricity coupled hydrogen production scheduling system based on the working state specifically includes: S201, collecting photovoltaic panel power, electrical load and hydrogen load; S202, execution determination: If the photovoltaic power generation is greater than the electrical load, then go to step S203; if the photovoltaic power generation is less than or equal to the electrical load, then go to step S204. S203, electrolyzer produces hydrogen, and then proceeds to step S205, S204, power generation by fuel cells is used to balance the electric energy, and then the process proceeds to step S206, S205, execution determination: If the hydrogen energy is greater than the hydrogen load, the process proceeds to step S207; if the hydrogen energy is less than or equal to the hydrogen load, the process proceeds to step S208; S206, execution determination: Whether there is residual hydrogen energy in the hydrogen storage tank, if yes, proceed to step S214, if not, proceed to step S211; S207, storing the remaining hydrogen energy in the hydrogen storage tank, and proceeding to step S209; S208, the hydrogen storage tank releases hydrogen to perform hydrogen energy balance, and then proceeds to step S210; S209, execution determination: Whether the hydrogen storage tank is full, if full, proceed to step S212, if not full, proceed to step S214; S210, execution determination: Whether there is residual hydrogen energy in the hydrogen storage tank, if yes, proceed to step S214, if not, proceed to step S213; S211, cut off the electric load and enter S214; S212, abandon light and enter S214; S213, cutting off the hydrogen load and entering S214; S214, obtaining a scheduling plan.

[0009] Preferably, in step S3, constructing an electric energy dispatch optimization model includes: S301, constructing a photovoltaic cell model, a fuel cell model, an electrolyzer model, a hydrogen storage tank model and a compressor model; S302, setting the objective function; S303, setting constraints.

[0010] Preferably, in step S301, the photovoltaic cell model includes: ; Where P PV is the output power of the photovoltaic panel; P STC is the output power of the photovoltaic panel under standard conditions; S PV is the actual solar radiation intensity; S STC is the standard solar radiation intensity; k c is the temperature coefficient; T PV is the actual temperature of the photovoltaic panel; T ref is the standard ambient temperature; A r is the area of ​​the photovoltaic panel; η PV is the efficiency of photovoltaic panels.

[0011] Preferably, in step S301, the fuel cell model includes: Fuel cells consume hydrogen to generate electricity, and the power expression is: ; Where P FC 、V H2，FC are the output power of the fuel cell and the volume of hydrogen consumed respectively; α is the energy conversion coefficient.

[0012] Preferably, in step S301, the electrolytic cell model includes: ; Where V ET,H2 is the volume of hydrogen produced by the electrolyzer; η ET is the electrolytic cell efficiency; P ET is the power consumption of the electrolytic cell; ρ H2 is the density of hydrogen; L H2 It is the low calorific value of hydrogen; The hydrogen storage tank model includes: ; Where: P re,H2 (t) is the internal pressure of the hydrogen storage tank at time t; R H2 is the molar gas constant; TH2 is the temperature inside the hydrogen storage tank; ΔV HT,H2 (t) is the volume change of hydrogen in the hydrogen storage tank at time t; k is the state coefficient, k∈{-1,0,1}, k=-1 means the hydrogen storage tank releases hydrogen, k=1 means the hydrogen storage tank stores hydrogen, and k=0 means the hydrogen storage tank is in a steady state; M ol,H2 is the molar mass of hydrogen; V HT is the volume of the hydrogen storage tank; Compressor models include: ; In the formula, Q out (t) is the hydrogen volume output by the compressor at time t; η com is the compressor efficiency; Q com (t) is the amount of gas passing through the compressor at time t; P in (t), P out (t) are the compressor input and output pressures respectively.

[0013] Preferably, in step S302, the objective function is: ; In the formula, C T is the total daily net income of the microgrid; C H2 (t) is the revenue from hydrogen sales; C E (t) is the income from electricity sales; i is the serial number of the photovoltaic panel, electrolyzer, compressor and fuel cell; C d,i (t) and C m,i(t) are the depreciation cost and maintenance cost of each micro-power source at time t; t is the scheduling time scale; The revenue from hydrogen sales is: ; Where M H2 is the unit hydrogen sales revenue; V H2 (t) is the volume of hydrogen sold at time t; The revenue from electricity sales is: ; Where M E P is the unit electricity sales revenue; E (t) is the electricity sold at time t; The depreciation cost of the equipment is: ; ; In the formula, C INS,i is the installation cost of the i-th micro power source; f i,cr is the capital recovery coefficient of the i-th equipment; k i is the capacity factor of each micro power source, which is the ratio of the actual total power generation of each micro power source to the annual theoretical total power generation; P rated is the rated power of each device; P i (t) is the output of each micro power source at time t; D R,i is the depreciation rate of the i-th micro power source; n i is the service life of the i-th micro power source; The maintenance cost is: ; In the formula, C UM,i It is the maintenance cost of each micro power source unit power generation.

[0014] Preferably, in step S303, the constraint conditions include equipment processing constraint, power balance constraint, energy supply reliability constraint and renewable energy utilization rate constraint.

[0015] The beneficial effects of a monitoring system data acquisition and processing method and system provided by the present invention are as follows: The present invention designs a hydrogen-electricity coupled hydrogen production scheduling system based on photovoltaic power generation, constructs a basic scheduling strategy by constructing a variety of system operating conditions, and solves the problem of optimal energy scheduling in the hydrogen production system that integrates photovoltaic power generation. By constructing an electric energy scheduling optimization model, the scheduling strategy of the hydrogen-electricity coupled hydrogen production scheduling system is optimized, thereby obtaining the optimal scheduling strategy of the hydrogen-electricity coupled hydrogen production scheduling system. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The present invention will be further described below in conjunction with the accompanying drawings and embodiments: Figure 1 It is a schematic diagram of the architecture of the hydrogen-electricity coupled hydrogen production scheduling system of the present invention; Figure 2 It is a scheduling strategy flow chart of the hydrogen-electricity coupled hydrogen production scheduling system in an embodiment of the present invention. DETAILED DESCRIPTION

[0017] Embodiment 1: like Figure 1 As shown, the hydrogen-electricity coupled hydrogen production scheduling system based on photovoltaic hydrogen production includes a photovoltaic power generation unit, a hydrogen production unit and a load unit; the photovoltaic power generation unit includes a photovoltaic panel and a fuel cell, the photovoltaic panel is electrically connected to the DC bus through an AC / DC converter, and the fuel cell is electrically connected to the DC bus through a DC / DC converter; the hydrogen production unit includes an electrolyzer, a compressor, a hydrogen storage tank, a hydrogen refueling machine and a hydrogen refueling vehicle, the electrolyzer is electrically connected to the DC bus through a DC / DC converter, the electrolyzer is connected to the hydrogen storage tank through a compressor, and the hydrogen storage tank is connected to the hydrogen refueling machine and the hydrogen refueling vehicle; the load unit includes a charging pile and an electric vehicle, and the charging pile is directly connected to the DC bus.

[0018] Preferably, the method for optimizing electric energy dispatching of a hydrogen-electric coupled hydrogen production dispatching system based on photovoltaic hydrogen production comprises the following steps: S1, construct various working states of hydrogen-electricity coupled hydrogen production scheduling system; S2, constructing the scheduling strategy of hydrogen-electricity coupled hydrogen production scheduling system based on the working status; S3, construct an electric energy dispatch optimization model to optimize the dispatch strategy of the hydrogen-electricity coupled hydrogen production dispatch system.

[0019] Preferably, in step S1, the various working states of the hydrogen-electricity coupled hydrogen production scheduling system include: State 1: In the absence of light and any hydrogen-electric load, the electrolyzer produces hydrogen and is stored in the hydrogen storage tank; State 2: When there is no light, hydrogen load and no electrical load, the electrolyzer produces hydrogen to supply the hydrogen load, and the hydrogen storage tank dynamically adjusts to balance the fluctuation of the hydrogen load; State 3: When there is no light, hydrogen load and electricity load, if the output of renewable energy is greater than the sum of hydrogen load and electricity load, the hydrogen storage tank stores the remaining energy; State 4: When there is no light, hydrogen load and electric load, if the output of renewable energy is less than the sum of hydrogen load and electric load, the hydrogen storage tank releases hydrogen to supply the hydrogen load and the fuel cell to supply the electric load; State 5: When there is light but no hydrogen load or electrical load, the electrolyzer produces hydrogen and stores it in the hydrogen storage tank; State 6: When there is light, hydrogen load and no electricity load, if the renewable energy output is greater than the hydrogen load, the electrolyzer produces hydrogen to supply the hydrogen load, and the remaining energy is stored in the hydrogen storage tank; State 7: When there is light, hydrogen load and no electricity load, if the output of renewable energy is less than the hydrogen load, the electrolyzer and hydrogen storage tank work together to balance the hydrogen load demand; State 8: When there is light, hydrogen load and electricity load, if the output of renewable energy is greater than the sum of the hydrogen load and the electricity load, the remaining electricity is converted into hydrogen and stored in the hydrogen storage tank.

[0020] State 9: When there is light, hydrogen load and electricity load, if the output of renewable energy is less than the sum of hydrogen load and electricity load, the hydrogen storage tank releases hydrogen to make up for the shortage of hydrogen load, and the fuel cell makes up for the shortfall of electricity load.

[0021] Embodiment 2: like Figure 2 As shown in the figure, the scheduling strategy for constructing a hydrogen-electricity coupled hydrogen production scheduling system based on the working status specifically includes: S201, collecting photovoltaic panel power, electrical load and hydrogen load; S202, execution determination: If the photovoltaic power generation is greater than the electrical load, then go to step S203; if the photovoltaic power generation is less than or equal to the electrical load, then go to step S204. S203, electrolyzer produces hydrogen, and then proceeds to step S205, S204, power generation by fuel cells is used to balance the electric energy, and then the process proceeds to step S206, S205, execution determination: If the hydrogen energy is greater than the hydrogen load, the process proceeds to step S207; if the hydrogen energy is less than or equal to the hydrogen load, the process proceeds to step S208; S206, execution determination: Whether there is residual hydrogen energy in the hydrogen storage tank, if yes, proceed to step S214, if not, proceed to step S211; S207, storing the remaining hydrogen energy in the hydrogen storage tank, and proceeding to step S209; S208, the hydrogen storage tank releases hydrogen to perform hydrogen energy balance, and then proceeds to step S210; S209, execution determination: Whether the hydrogen storage tank is full, if full, proceed to step S212, if not full, proceed to step S214; S210, execution determination: Whether there is residual hydrogen energy in the hydrogen storage tank, if yes, proceed to step S214, if not, proceed to step S213; S211, cut off the electric load and enter S214; S212, abandon light and enter S214; S213, cutting off the hydrogen load and entering S214; S214, obtaining a scheduling plan.

[0022] Preferably, in step S3, constructing an electric energy dispatch optimization model includes: S301, constructing a photovoltaic cell model, a fuel cell model, an electrolyzer model, a hydrogen storage tank model and a compressor model; S302, setting the objective function; S303, setting constraints.

[0023] Preferably, in step S301, the photovoltaic cell model includes: ; Where P PV is the output power of the photovoltaic panel; P STC is the output power of the photovoltaic panel under standard conditions; S PV is the actual solar radiation intensity; S STC is the standard solar radiation intensity; k c is the temperature coefficient; T PV is the actual temperature of the photovoltaic panel; T ref is the standard ambient temperature; A r is the area of ​​the photovoltaic panel; η PV is the efficiency of photovoltaic panels.

[0024] Preferably, in step S301, the fuel cell model includes: Fuel cells consume hydrogen to generate electricity, and the power expression is: ; Where P FC 、V H2，FC are the output power of the fuel cell and the volume of hydrogen consumed respectively; α is the energy conversion coefficient.

[0025] Preferably, in step S301, the electrolytic cell model includes: ; Where V ET,H2 is the volume of hydrogen produced by the electrolyzer; η ET is the electrolytic cell efficiency; P ET is the power consumption of the electrolytic cell; ρ H2 is the density of hydrogen; L H2 It is the low calorific value of hydrogen; The hydrogen storage tank model includes: ; Where: P re,H2(t) is the internal pressure of the hydrogen storage tank at time t; R H2 is the molar gas constant; TH2 is the temperature inside the hydrogen storage tank; ΔV HT,H2 (t) is the volume change of hydrogen in the hydrogen storage tank at time t; k is the state coefficient, k∈{-1,0,1}, k=-1 means the hydrogen storage tank releases hydrogen, k=1 means the hydrogen storage tank stores hydrogen, and k=0 means the hydrogen storage tank is in a steady state; M ol,H2 is the molar mass of hydrogen; V HT is the volume of the hydrogen storage tank; Compressor models include: ; In the formula, Q out (t) is the hydrogen volume output by the compressor at time t; η com is the compressor efficiency; Q com (t) is the amount of gas passing through the compressor at time t; P in (t), P out (t) are the compressor input and output pressures respectively.

[0026] Preferably, in step S302, the objective function is: ; In the formula, C T is the total daily net income of the microgrid; C H2 (t) is the revenue from hydrogen sales; C E (t) is the income from electricity sales; i is the serial number of the photovoltaic panel, electrolyzer, compressor and fuel cell; C d,i (t) and C m,i (t) are the depreciation cost and maintenance cost of each micro-power source at time t; t is the scheduling time scale; The revenue from hydrogen sales is: ; Where M H2 is the unit hydrogen sales revenue; V H2 (t) is the volume of hydrogen sold at time t; The revenue from electricity sales is: ; Where M E P is the unit electricity sales revenue; E (t) is the electricity sold at time t; The depreciation cost of the equipment is: ; ; In the formula, C INS,i is the installation cost of the i-th micro power source; f i,cr is the capital recovery coefficient of the i-th equipment; k iis the capacity factor of each micro power source, which is the ratio of the actual total power generation of each micro power source to the annual theoretical total power generation; P rated is the rated power of each device; P i (t) is the output of each micro power source at time t; D R,i is the depreciation rate of the i-th micro power source; n i is the service life of the i-th micro power source; The maintenance cost is: ; In the formula, C UM,i It is the maintenance cost of each micro power source unit power generation.

[0027] Preferably, in step S303, the constraint conditions include equipment processing constraint, power balance constraint, energy supply reliability constraint and renewable energy utilization rate constraint.

Claims

1. A hydrogen-electricity coupled hydrogen production scheduling system based on photovoltaic hydrogen production, characterized in that: It includes a photovoltaic power generation unit, a hydrogen production unit and a load unit; the photovoltaic power generation unit includes photovoltaic panels and fuel cells, the photovoltaic panels are electrically connected to the DC bus through an AC / DC converter, and the fuel cell is electrically connected to the DC bus through a DC / DC converter; the hydrogen production unit includes an electrolyzer, a compressor, a hydrogen storage tank, a hydrogen refueling machine and a hydrogen refueling vehicle, the electrolyzer is electrically connected to the DC bus through a DC / DC converter, the electrolyzer is connected to the hydrogen storage tank through a compressor, and the hydrogen storage tank is connected to the hydrogen refueling machine and the hydrogen refueling vehicle; the load unit includes a charging pile and an electric vehicle, and the charging pile is directly connected to the DC bus.

2. The method for optimizing electric energy dispatching of a hydrogen-electric coupled hydrogen production dispatching system based on photovoltaic hydrogen production according to claim 1, characterized in that: The following steps are involved: S1, construct various working states of hydrogen-electricity coupled hydrogen production scheduling system; S2, constructing the scheduling strategy of hydrogen-electricity coupled hydrogen production scheduling system based on the working status; S3, construct an electric energy dispatch optimization model to optimize the dispatch strategy of the hydrogen-electricity coupled hydrogen production dispatch system.

3. The method for optimizing electric energy dispatching of a hydrogen-electric coupled hydrogen production dispatching system based on photovoltaic hydrogen production according to claim 2 is characterized in that: In step S1, the various working states of the hydrogen-electricity coupled hydrogen production scheduling system include: State 1: In the absence of light and any hydrogen-electric load, the electrolyzer produces hydrogen and is stored in the hydrogen storage tank; State 2: When there is no light, hydrogen load and no electrical load, the electrolyzer produces hydrogen to supply the hydrogen load, and the hydrogen storage tank dynamically adjusts to balance the fluctuation of the hydrogen load; State 3: When there is no light, hydrogen load and electricity load, if the output of renewable energy is greater than the sum of hydrogen load and electricity load, the hydrogen storage tank stores the remaining energy; State 4: When there is no light, hydrogen load and electric load, if the output of renewable energy is less than the sum of hydrogen load and electric load, the hydrogen storage tank releases hydrogen to supply the hydrogen load and the fuel cell to supply the electric load; State 5: When there is light but no hydrogen load or electrical load, the electrolyzer produces hydrogen and stores it in the hydrogen storage tank; State 6: When there is light, hydrogen load and no electricity load, if the renewable energy output is greater than the hydrogen load, the electrolyzer produces hydrogen to supply the hydrogen load, and the remaining energy is stored in the hydrogen storage tank; State 7: When there is light, hydrogen load and no electricity load, if the output of renewable energy is less than the hydrogen load, the electrolyzer and hydrogen storage tank work together to balance the hydrogen load demand; State 8: When there is light, hydrogen load and electricity load, if the output of renewable energy is greater than the sum of hydrogen load and electricity load, the remaining electricity is converted into hydrogen and stored in the hydrogen storage tank; State 9: When there is light, hydrogen load and electricity load, if the output of renewable energy is less than the sum of hydrogen load and electricity load, the hydrogen storage tank releases hydrogen to make up for the shortage of hydrogen load, and the fuel cell makes up for the shortfall of electricity load.

4. The method for optimizing electric energy dispatching of a hydrogen-electric coupled hydrogen production dispatching system based on photovoltaic hydrogen production according to claim 3 is characterized in that: In step S2, the scheduling strategy of the hydrogen-electricity coupled hydrogen production scheduling system is constructed based on the working status, specifically including: S201, collecting photovoltaic panel power, electrical load and hydrogen load; S202, execution determination: If the photovoltaic power generation is greater than the electrical load, then go to step S203; if the photovoltaic power generation is less than or equal to the electrical load, then go to step S204. S203, electrolyzer produces hydrogen, and then proceeds to step S205, S204, power generation by fuel cells is used to balance the electric energy, and then the process proceeds to step S206, S205, execution determination: If the hydrogen energy is greater than the hydrogen load, the process proceeds to step S207; if the hydrogen energy is less than or equal to the hydrogen load, the process proceeds to step S208; S206, execution determination: Whether there is residual hydrogen energy in the hydrogen storage tank, if yes, proceed to step S214, if not, proceed to step S211; S207, storing the remaining hydrogen energy in the hydrogen storage tank, and proceeding to step S209; S208, the hydrogen storage tank releases hydrogen to perform hydrogen energy balance, and then proceeds to step S210; S209, execution determination: Whether the hydrogen storage tank is full, if full, proceed to step S212, if not full, proceed to step S214; S210, execution determination: Whether there is residual hydrogen energy in the hydrogen storage tank, if yes, proceed to step S214, if not, proceed to step S213; S211, cut off the electric load and enter S214; S212, abandon light and enter S214; S213, cutting off the hydrogen load and entering S214; S214, obtaining a scheduling plan.

5. The method for optimizing electric energy dispatching of a hydrogen-electric coupled hydrogen production dispatching system based on photovoltaic hydrogen production according to claim 4 is characterized in that: In step S3, constructing an electric energy dispatch optimization model includes: S301, constructing a photovoltaic cell model, a fuel cell model, an electrolyzer model, a hydrogen storage tank model and a compressor model; S302, setting the objective function; S303, setting constraints.

6. The method for optimizing electric energy dispatching of a hydrogen-electric coupled hydrogen production dispatching system based on photovoltaic hydrogen production according to claim 5, characterized in that: In step S301, the photovoltaic cell model includes: ； Where P PV is the output power of the photovoltaic panel; P STC is the output power of the photovoltaic panel under standard conditions; S PV is the actual solar radiation intensity; S STC is the standard solar radiation intensity; k c is the temperature coefficient; T PV is the actual temperature of the photovoltaic panel; T ref is the standard ambient temperature; A r is the area of ​​the photovoltaic panel; η PV is the efficiency of photovoltaic panels.

7. The method for optimizing electric energy dispatching of a hydrogen-electric coupled hydrogen production dispatching system based on photovoltaic hydrogen production according to claim 6, characterized in that: In step S301, the fuel cell model includes: Fuel cells consume hydrogen to generate electricity, and the power expression is: ； Where P FC 、V H2，FC are the output power of the fuel cell and the volume of hydrogen consumed respectively; α is the energy conversion coefficient.

8. The method for optimizing electric energy dispatching of a hydrogen-electric coupled hydrogen production dispatching system based on photovoltaic hydrogen production according to claim 7, characterized in that: In step S301, the electrolytic cell model includes: ； Where V ET,H2 is the volume of hydrogen produced by the electrolyzer; η ET is the electrolytic cell efficiency; P ET is the power consumption of the electrolytic cell; H2 is the density of hydrogen; L H2 It is the low calorific value of hydrogen; The hydrogen storage tank model includes: ； Where: P re,H2 (t) is the internal pressure of the hydrogen storage tank at time t; R H2 is the molar gas constant; TH2 is the temperature inside the hydrogen storage tank; ΔV HT,H2 (t) is the volume change of hydrogen in the hydrogen storage tank at time t; k is the state coefficient, k∈{-1,0,1}, k=-1 means the hydrogen storage tank releases hydrogen, k=1 means the hydrogen storage tank stores hydrogen, and k=0 means the hydrogen storage tank is in a steady state; M ol,H2 is the molar mass of hydrogen; V HT is the volume of the hydrogen storage tank; Compressor models include: ； In the formula, Q out (t) is the hydrogen volume output by the compressor at time t; η com is the compressor efficiency; Q com (t) is the amount of gas passing through the compressor at time t; P in (t), P out (t) are the compressor input and output pressures respectively.

9. The method for optimizing electric energy dispatching of a hydrogen-electric coupled hydrogen production dispatching system based on photovoltaic hydrogen production according to claim 8, characterized in that: In step S302, the objective function is: ； In the formula, C T is the total daily net income of the microgrid; C H2 (t) is the revenue from hydrogen sales; C E (t) is the income from electricity sales; i is the serial number of the photovoltaic panel, electrolyzer, compressor and fuel cell; C d,i (t) and C m,i (t) are the depreciation cost and maintenance cost of each micro-power source at time t; t is the scheduling time scale; The revenue from hydrogen sales is: ； Where M H2 is the unit hydrogen sales revenue; V H2 (t) is the volume of hydrogen sold at time t; The revenue from electricity sales is: ； Where M E P is the unit electricity sales revenue; E (t) is the electricity sold at time t; The depreciation cost of the equipment is: ； ； In the formula, C INS,i is the installation cost of the i-th micro power source; f i,cr is the capital recovery coefficient of the i-th equipment; k i is the capacity factor of each micro power source, which is the ratio of the actual total power generation of each micro power source to the annual theoretical total power generation; P rated is the rated power of each device; P i (t) is the output of each micro power source at time t; D R,i is the depreciation rate of the i-th micro power source; n i is the service life of the i-th micro power source; The maintenance cost is: ； In the formula, C UM,i It is the maintenance cost of each micro power source unit power generation.

10. The method for optimizing electric energy dispatching of a hydrogen-electricity coupled hydrogen production dispatching system based on photovoltaic hydrogen production according to claim 9, characterized in that: In step S303, the constraints include equipment processing constraints, power balance constraints, energy supply reliability constraints and renewable energy utilization rate constraints.

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