Electricity-hydrogen complementary wind-light-hydrogen storage coupling power generation simulation method and device

Abstract

The invention relates to the technical field of power system simulation, and particularly provides an electricity-hydrogen complementary wind-light-hydrogen storage coupled power generation simulation method and device, and the method comprises the steps: building an electricity-hydrogen complementary wind-light-hydrogen storage coupled power generation simulation model according to a topological structure of an electricity-hydrogen complementary wind-light-hydrogen storage coupled power generation system; setting a wind-light scene and a load current control strategy, and simulating the electricity-hydrogen complementary wind-light-hydrogen storage coupled power generation simulation model; the electricity-hydrogen complementary wind-light-hydrogen storage coupled power generation simulation model comprises a power generation module, a conventional energy storage module, a green hydrogen link, a multifunctional power distribution system and a load. According to the technical scheme provided by the invention, the operation state of the new energy system in which the green hydrogen link is introduced can be effectively simulated, and simulation analysis is performed on the new energy system, so that a powerful data basis is provided for introducing the green hydrogen link into the new energy system, and the defects of electrochemical energy storage in a new energy power station are overcome.

Description

Technical Field

[0001] The present invention relates to the technical field of power system simulation, and in particular to a method and device for simulating wind-solar-hydrogen storage coupled power generation with electric-hydrogen complementarity. Background Art

[0002] Wind and solar energy are widely present in nature and are among the most valuable energy sources for development and research. Due to the intermittent and unstable nature of wind and photovoltaic power generation, energy storage equipment is needed to balance the fluctuations in power supply and demand and ensure the stability and sustainability of power supply.

[0003] In the existing technology, most new energy power stations adopt a full electrochemical energy storage distribution mode. Electrochemical energy storage can store electricity when the power demand is low and release it when the demand is peak, so as to balance the load of the power grid and improve the stability and reliability of the power grid. At the same time, it also helps to make full use of intermittent renewable energy such as wind energy and solar energy. Many scholars optimize the output characteristics of the system by analyzing and constructing the power transmission characteristics of the power converter. The main research issues include realizing the maximum power tracking control of the system and the minimum fluctuation control under steady state according to natural lighting conditions, wind speed conditions, and power transmission constraints. At the same time, optimize the discharge effect of the battery and improve the safety performance of the system. However, electrochemical energy storage with high energy storage efficiency and fast power response still has problems such as life and environmental benefits. The life of electrochemical energy storage equipment is affected by the number of charge and discharge cycles. Long-term charge and discharge cycles may cause battery performance to decline and affect the service life of the equipment. At the same time, no harmful substances are produced during use, and its manufacturing process may have certain environmental impacts.

[0004] Introducing green hydrogen into the new energy system can solve the shortcomings of electrochemical energy storage in new energy power stations. The existing technology does not have enough research on the modeling and stability control of the green hydrogen link. Therefore, there is an urgent need for a wind-solar-hydrogen storage coupled power generation simulation method that complements electricity and hydrogen. Summary of the invention

[0005] In order to overcome the above-mentioned defects, the present invention proposes a wind-solar-hydrogen storage coupled power generation simulation method and device with electricity-hydrogen complementarity.

[0006] In a first aspect, a wind-solar-hydrogen storage coupled power generation simulation method with complementary electricity and hydrogen is provided, and the wind-solar-hydrogen storage coupled power generation simulation method with complementary electricity and hydrogen comprises:

[0007] According to the topological structure of the wind-solar-hydrogen storage coupled power generation system with complementary electricity and hydrogen, a wind-solar-hydrogen storage coupled power generation simulation model with complementary electricity and hydrogen was established;

[0008] Setting wind-solar-solar scenarios and load current control strategies, and simulating the wind-solar-hydrogen storage coupled power generation simulation model of the electric-hydrogen complementary power generation;

[0009] Among them, the wind-solar-hydrogen storage coupled power generation simulation model with electric-hydrogen complementarity includes: power generation module, conventional energy storage module, green hydrogen link, multi-functional distribution system and load.

[0010] Preferably, the power generation module is used to convert wind energy or solar energy into electrical energy; the conventional energy storage module and the green hydrogen link are both used to smooth the energy fluctuations in the wind-solar-hydrogen storage coupled power generation simulation model with electricity and hydrogen complementarity; the multifunctional power distribution system is used to realize the mutual flow of energy in the wind-solar-hydrogen storage coupled power generation simulation model with electricity and hydrogen complementarity.

[0011] Preferably, the power generation module includes at least one of the following: a photovoltaic power generation model and a wind power generation model.

[0012] Furthermore, the mathematical model corresponding to the photovoltaic power generation model is as follows:

[0013]

[0014] In the above formula, I pv is the output current of the photovoltaic power generation model, I sc is the short-circuit current, C1 is the first correction coefficient, C2 is the second correction coefficient, U is the output voltage of the photovoltaic power generation model, U oc is the open circuit voltage, I m is the maximum current of the photovoltaic power generation model, U m is the maximum voltage of the photovoltaic power generation model;

[0015] When the ambient temperature and light intensity change, the open circuit voltage is corrected to △UU oc , the short-circuit current is △II sc , the maximum current of the photovoltaic power generation model is △II m , the maximum voltage of the photovoltaic power generation model is △UU m , where △U is the voltage correction coefficient, △I is the current correction coefficient, and the voltage correction coefficient and current correction coefficient are as follows:

[0016]

[0017] In the above formula, s is the light intensity, S r is the reference light intensity under standard conditions, a is the first temperature compensation coefficient, T is the ambient temperature, T r is the reference ambient temperature under standard conditions, c is the second temperature compensation coefficient, e is the natural constant, and b is the light intensity compensation coefficient.

[0018] Furthermore, the mathematical model corresponding to the wind power generation model is as follows:

[0019]

[0020] In the above formula, S1 is the cross-sectional area of ​​the front end of the wind rotor, v1 is the average wind speed at the front end of the wind rotor, S2 is the cross-sectional area of ​​the rear end of the wind rotor, v2 is the average wind speed at the rear end of the wind rotor, S is the actual area of ​​the wind rotor, v is the average wind speed actually passing through the wind rotor, F is the force acting on the wind rotor, ρ is the wind density, and P is the wind turbine power.

[0021] Preferably, the energy storage module includes at least one of the following: a fuel cell model, a battery model, a hydrogen storage tank model, and an electrolyzer model.

[0022] Furthermore, the mathematical model corresponding to the fuel cell model is as follows:

[0023]

[0024] In the above formula, V cell is the output of the proton exchange membrane fuel cell, E Nerst is the thermodynamic potential, V act is the activation polarization voltage, V ohm is the ohmic polarization overvoltage, V con is the concentration polarization overvoltage, T is the temperature, is the mass fraction of H2, is the mass fraction of O2, I is the current of the fuel cell model, ρ m is the resistivity of the proton exchange membrane, l is the thickness of the proton exchange membrane, A is the effective area of ​​the proton exchange membrane, R C is the electronic impedance, J is the actual current density, J max is the maximum current density.

[0025] Furthermore, the mathematical model corresponding to the battery model is as follows:

[0026]

[0027] In the above formula, I c is the battery output current, U1 is the voltage across R1, R1 is the electrochemical polarization internal resistance, C 11 is the electrochemical polarization capacitor, U2 is the voltage across R2, R2 is the concentration polarization internal resistance, C 22 is the concentration polarization capacitance, U c is the battery output voltage, U ococ is the open circuit voltage of the battery, R0 is the equivalent series resistance, and I1 is the current of R1.

[0028] Furthermore, the mathematical model corresponding to the hydrogen storage tank model is as follows:

[0029]

[0030] In the above formula, P1 is the real-time pressure of the hydrogen storage tank, P0 is the initial pressure of the hydrogen storage tank, z is the hydrogen compression constant, N H is the hydrogen flow rate, R is the gas constant, T H is the hydrogen storage tank temperature, V H is the volume of the hydrogen storage tank.

[0031] Furthermore, the mathematical model corresponding to the electrolytic cell model is as follows:

[0032] V=E+η act +η ohm +η diff

[0033] In the above formula, V is the cell voltage, E is the open circuit voltage, η act is the activation overpotential, η ohm is the Ohm overpotential, η diff is the concentration difference overpotential.

[0034] Preferably, the scene includes: no sunlight during the preset time period and the wind speed increases from 3m / s to 7m / s, no wind during the preset time period and the light intensity increases from 100W / m 2 Increase to 500W / m 2 During the preset time period, the wind speed increases from 4m / s to 7m / s and the light intensity increases from 400W / m 2 Increase to 800W / m 2 .

[0035] Preferably, the load current control strategy includes: a PWM pulse width modulation strategy.

[0036] In a second aspect, a wind-solar-hydrogen storage coupled power generation simulation device with complementary electricity and hydrogen is provided, wherein the wind-solar-hydrogen storage coupled power generation simulation device with complementary electricity and hydrogen comprises:

[0037] A construction module is used to build a wind-solar-hydrogen storage coupled power generation simulation model with electric-hydrogen complementation according to the topological structure of the wind-solar-hydrogen storage coupled power generation system with electric-hydrogen complementation;

[0038] A simulation module, used to set wind-solar-solar scenarios and load current control strategies, and to simulate the wind-solar-hydrogen storage coupled power generation simulation model of the electric-hydrogen complementary power generation;

[0039] Among them, the wind-solar-hydrogen storage coupled power generation simulation model with electric-hydrogen complementarity includes: power generation module, conventional energy storage module, green hydrogen link, multi-functional distribution system and load.

[0040] Preferably, the power generation module is used to convert wind energy or solar energy into electrical energy; the conventional energy storage module and the green hydrogen link are both used to smooth the energy fluctuations in the wind-solar-hydrogen storage coupled power generation simulation model with electricity and hydrogen complementarity; the multifunctional power distribution system is used to realize the mutual flow of energy in the wind-solar-hydrogen storage coupled power generation simulation model with electricity and hydrogen complementarity.

[0041] Preferably, the power generation module includes at least one of the following: a photovoltaic power generation model and a wind power generation model.

[0042] Furthermore, the mathematical model corresponding to the photovoltaic power generation model is as follows:

[0043]

[0044] In the above formula, I pv is the output current of the photovoltaic power generation model, I sc is the short-circuit current, C1 is the first correction coefficient, C2 is the second correction coefficient, U is the output voltage of the photovoltaic power generation model, U oc is the open circuit voltage, I m is the maximum current of the photovoltaic power generation model, U m is the maximum voltage of the photovoltaic power generation model;

[0045] When the ambient temperature and light intensity change, the open circuit voltage is corrected to △UU oc , the short-circuit current is △II sc , the maximum current of the photovoltaic power generation model is △II m , the maximum voltage of the photovoltaic power generation model is △UU m , where △U is the voltage correction coefficient, △I is the current correction coefficient, and the voltage correction coefficient and current correction coefficient are as follows:

[0046]

[0047] In the above formula, s is the light intensity, S r is the reference light intensity under standard conditions, a is the first temperature compensation coefficient, T is the ambient temperature, T r is the reference ambient temperature under standard conditions, c is the second temperature compensation coefficient, e is the natural constant, and b is the light intensity compensation coefficient.

[0048] Furthermore, the mathematical model corresponding to the wind power generation model is as follows:

[0049]

[0050] In the above formula, S1 is the cross-sectional area of ​​the front end of the wind rotor, v1 is the average wind speed at the front end of the wind rotor, S2 is the cross-sectional area of ​​the rear end of the wind rotor, v2 is the average wind speed at the rear end of the wind rotor, S is the actual area of ​​the wind rotor, v is the average wind speed actually passing through the wind rotor, F is the force acting on the wind rotor, ρ is the wind density, and P is the wind turbine power.

[0051] Preferably, the energy storage module includes at least one of the following: a fuel cell model, a battery model, a hydrogen storage tank model, and an electrolyzer model.

[0052] Furthermore, the mathematical model corresponding to the fuel cell model is as follows:

[0053]

[0054] In the above formula, V cell is the output of the proton exchange membrane fuel cell, E Nerst is the thermodynamic potential, V act is the activation polarization voltage, V ohm is the ohmic polarization overvoltage, V con is the concentration polarization overvoltage, T is the temperature, is the mass fraction of H2, is the mass fraction of O2, I is the current of the fuel cell model, ρ m is the resistivity of the proton exchange membrane, l is the thickness of the proton exchange membrane, A is the effective area of ​​the proton exchange membrane, R C is the electronic impedance, J is the actual current density, J max is the maximum current density.

[0055] Furthermore, the mathematical model corresponding to the battery model is as follows:

[0056]

[0057] In the above formula, I c is the battery output current, U1 is the voltage across R1, R1 is the electrochemical polarization internal resistance, C 11 is the electrochemical polarization capacitor, U2 is the voltage across R2, R2 is the concentration polarization internal resistance, C 22 is the concentration polarization capacitance, U c is the battery output voltage, U ococ is the open circuit voltage of the battery, R0 is the equivalent series resistance, and I1 is the current of R1.

[0058] Furthermore, the mathematical model corresponding to the hydrogen storage tank model is as follows:

[0059]

[0060] In the above formula, P1 is the real-time pressure of the hydrogen storage tank, P0 is the initial pressure of the hydrogen storage tank, z is the hydrogen compression constant, N H is the hydrogen flow rate, R is the gas constant, T H is the hydrogen storage tank temperature, V H is the volume of the hydrogen storage tank.

[0061] Furthermore, the mathematical model corresponding to the electrolytic cell model is as follows:

[0062] V=E+η act +η ohm +η diff

[0063] In the above formula, V is the cell voltage, E is the open circuit voltage, η act is the activation overpotential, η ohm is the Ohm overpotential, η diff is the concentration difference overpotential.

[0064] Preferably, the scene includes: no sunlight during the preset time period and the wind speed increases from 3m / s to 7m / s, no wind during the preset time period and the light intensity increases from 100W / m 2 Increase to 500W / m 2 During the preset time period, the wind speed increases from 4m / s to 7m / s and the light intensity increases from 400W / m 2 Increase to 800W / m 2 .

[0065] Preferably, the load current control strategy includes: a PWM pulse width modulation strategy.

[0066] In a third aspect, a computer device is provided, comprising: one or more processors;

[0067] The processor is configured to execute one or more programs;

[0068] When the one or more programs are executed by the one or more processors, the wind-solar-hydrogen storage coupled power generation simulation method with electric-hydrogen complementarity is implemented.

[0069] In a fourth aspect, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed, the wind-solar-hydrogen storage coupled power generation simulation method with electric-hydrogen complementarity is implemented.

[0070] The above one or more technical solutions of the present invention have at least one or more of the following beneficial effects:

[0071] The present invention provides a method and device for simulating wind-solar-hydrogen storage coupled power generation with electric-hydrogen complementarity, including: building a wind-solar-hydrogen storage coupled power generation simulation model with electric-hydrogen complementarity according to the topological structure of the wind-solar-hydrogen storage coupled power generation system with electric-hydrogen complementarity; setting wind-solar scenes and load current control strategies, and simulating the wind-solar-hydrogen storage coupled power generation simulation model with electric-hydrogen complementarity; wherein the wind-solar-hydrogen storage coupled power generation simulation model with electric-hydrogen complementarity includes: a power generation module, a conventional energy storage module, a green hydrogen link, a multifunctional power distribution system and a load. The technical solution provided by the present invention can effectively simulate the operating state of a new energy system that introduces a green hydrogen link, and perform simulation analysis on it, thereby providing a strong data basis for the introduction of a green hydrogen link into a new energy system, and further making up for the shortcomings of electrochemical energy storage in new energy power stations. BRIEF DESCRIPTION OF THE DRAWINGS

[0072] Figure 1 It is a schematic flow chart of the main steps of the wind-solar-hydrogen storage coupled power generation simulation method for electric-hydrogen complementarity according to an embodiment of the present invention;

[0073] Figure 2 Schematic diagram of a wind-solar-hydrogen storage coupled power generation simulation model for electric-hydrogen complementarity according to an embodiment of the present invention;

[0074] Figure 3 The wind power generation model of the embodiment of the present invention is

[0075] Figure 4 This is a simulation effect diagram of wind-solar-hydrogen storage coupled power generation with electric-hydrogen complementarity according to an embodiment of the present invention;

[0076] Figure 5 The power variation curves at different wind speeds according to the embodiment of the present invention are as follows:

[0077] Figure 6 1 is a curve showing the change of output current and power of photovoltaic power generation with voltage according to an embodiment of the present invention. DETAILED DESCRIPTION

[0078] The specific implementation modes of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0079] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution 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, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0080] As disclosed in the background technology, with the accelerated advancement of global energy transformation, wind and solar power generation technology, as a key support for new power systems, is gaining more and more attention and application worldwide. At present, due to the intermittent and instability of wind and photovoltaic power generation, energy storage equipment is needed to balance the fluctuations in power supply and demand, and energy storage equipment is introduced on the grid source side of new energy power stations to ensure the stability and sustainability of power supply. Under existing technical conditions, most new energy power stations adopt a storage mode of complete electrochemical energy storage. Compared with other energy storage technologies, electrochemical energy storage has high energy storage efficiency and fast power response. Electrochemical energy storage technology is relatively mature and has low cost. However, the life of electrochemical energy storage equipment is affected by the number of charge and discharge cycles. Long-term charge and discharge cycles may cause battery performance to decline, affecting the service life of the equipment. At the same time, no harmful substances are produced during use, but its manufacturing process may have certain environmental impacts.

[0081] In order to improve the above problems, wind energy and solar energy are widely present in nature and are one of the most valuable energy sources for development and research. Due to the intermittent and unstable nature of wind and photovoltaic power generation, energy storage equipment is needed to balance the fluctuations in power supply and demand and ensure the stability and sustainability of power supply.

[0082] In the existing technology, most new energy power stations adopt a full electrochemical energy storage distribution mode. Electrochemical energy storage can store electricity when the power demand is low and release it when the demand is peak, so as to balance the load of the power grid and improve the stability and reliability of the power grid. At the same time, it also helps to make full use of intermittent renewable energy such as wind energy and solar energy. Many scholars optimize the output characteristics of the system by analyzing and constructing the power transmission characteristics of the power converter. The main research issues include realizing the maximum power tracking control of the system and the minimum fluctuation control under steady state according to natural lighting conditions, wind speed conditions, and power transmission constraints. At the same time, optimize the discharge effect of the battery and improve the safety performance of the system. However, electrochemical energy storage with high energy storage efficiency and fast power response still has problems such as life and environmental benefits. The life of electrochemical energy storage equipment is affected by the number of charge and discharge cycles. Long-term charge and discharge cycles may cause battery performance to decline and affect the service life of the equipment. At the same time, no harmful substances are produced during use, and its manufacturing process may have certain environmental impacts.

[0083] Introducing green hydrogen into the new energy system can solve the shortcomings of electrochemical energy storage in new energy power stations. The existing technology does not have enough research on the modeling and stability control of the green hydrogen link. Therefore, there is an urgent need for a wind-solar-hydrogen storage coupled power generation simulation method that complements electricity and hydrogen.

[0084] The above scheme is described in detail below.

[0085] Example 1

[0086] See attached Figure 1 , Figure 1 1 is a schematic flow chart of the main steps of a wind-solar-hydrogen storage coupled power generation simulation method for electric-hydrogen complementarity according to an embodiment of the present invention. Figure 1 As shown, the wind-solar-hydrogen storage coupled power generation simulation method with electric-hydrogen complementarity in the embodiment of the present invention mainly includes the following steps:

[0087] Step S101: building a wind-solar-hydrogen storage coupled power generation simulation model with electric-hydrogen complementation according to the topological structure of the wind-solar-hydrogen storage coupled power generation system with electric-hydrogen complementation;

[0088] Step S102: setting a wind-solar scenario and a load current control strategy, and simulating the wind-solar-hydrogen storage coupled power generation simulation model of the electric-hydrogen complementarity;

[0089] Among them, the wind-solar-hydrogen storage coupled power generation simulation model with electric-hydrogen complementarity includes: power generation module, conventional energy storage module, green hydrogen link, multi-functional distribution system and load.

[0090] In this embodiment, the power generation module is used to convert wind energy or solar energy into electrical energy; the conventional energy storage module and the green hydrogen link are both used to smooth the energy fluctuations in the wind-solar-hydrogen storage coupled power generation simulation model with electricity and hydrogen complementarity; the multifunctional power distribution system is used to realize the mutual flow in the wind-solar-hydrogen storage coupled power generation simulation model with electricity and hydrogen complementarity.

[0091] Specifically, Figure 2 As shown, the power generation module includes at least one of the following: a photovoltaic power generation model and a wind power generation model.

[0092] In one embodiment, based on optoelectronic theory, photovoltaic panels convert solar energy into electrical energy through the photoelectric effect, thereby realizing the utilization of renewable energy. From the relationship between the voltage and current of photovoltaic semiconductors, it can be concluded that the mathematical model corresponding to the photovoltaic power generation model is as follows:

[0093]

[0094] In the above formula, I pv is the output current of the photovoltaic power generation model, I sc is the short-circuit current, C1 is the first correction coefficient, C2 is the second correction coefficient, U is the output voltage of the photovoltaic power generation model, U oc is the open circuit voltage, I m is the maximum current of the photovoltaic power generation model, U m is the maximum voltage of the photovoltaic power generation model;

[0095] Due to changes in ambient temperature and light intensity, photovoltaic power generation output will also change. This paper uses the method of modifying the performance parameters of the photovoltaic array to establish a behavioral model of the photovoltaic array. When the ambient temperature and light intensity change, the four performance parameters of the photovoltaic array, namely, the open circuit voltage and current, the voltage and current at maximum power, are directly corrected. Therefore, when the ambient temperature and light intensity change, the open circuit voltage is corrected to △UU oc , the short-circuit current is △II sc , the maximum current of the photovoltaic power generation model is △II m , the maximum voltage of the photovoltaic power generation model is △UU m , where △U is the voltage correction coefficient, △I is the current correction coefficient, and the voltage correction coefficient and current correction coefficient are as follows:

[0096]

[0097] In the above formula, s is the light intensity, S r is the reference light intensity under standard conditions, a is the first temperature compensation coefficient, T is the ambient temperature, T r is the reference ambient temperature under standard conditions, c is the second temperature compensation coefficient, e is the natural constant, and b is the light intensity compensation coefficient.

[0098] The performance parameters modified by the environment can better meet the actual requirements. The photovoltaic output needs MPPT (maximum power point following) control to make the photovoltaic power generation work stably near the maximum power point. The present invention adopts an improved disturbance observation method based on voltage stability.

[0099] In one embodiment, wind power generation converts the kinetic energy of wind into mechanical rotational kinetic energy, and then converts the mechanical rotational kinetic energy into electrical energy. The wind energy is transmitted from the wind to the blades, and the rotation of the blades generates mechanical energy to drive the transmission system. The mechanical energy of the transmission system drives the wind turbine to finally generate electricity.

[0100] In order to establish the model, necessary assumptions must be made: the rotor is regarded as an ideal rotor with countless blades, the wind must be perpendicular to the rotor surface, and it must be continuous and constant in size. Figure 3 As shown, the corresponding mathematical model is as follows:

[0101]

[0102] In the above formula, S1 is the cross-sectional area of ​​the front end of the wind rotor, v1 is the average wind speed at the front end of the wind rotor, S2 is the cross-sectional area of ​​the rear end of the wind rotor, v2 is the average wind speed at the rear end of the wind rotor, S is the actual area of ​​the wind rotor, v is the average wind speed actually passing through the wind rotor, F is the force acting on the wind rotor, ρ is the wind density, and P is the wind turbine power.

[0103] In this embodiment, the energy storage module includes at least one of the following: a fuel cell model, a battery model, a hydrogen storage tank model, and an electrolyzer model.

[0104] In one embodiment, a fuel cell is a power generation device that directly converts the chemical energy of a fuel into electrical energy, and is mainly composed of a positive electrode, a negative electrode, and an electrolyte. The oxidation reaction of the fuel occurs at the anode, and the reduction reaction of the oxidant occurs at the cathode. The electrolyte provides protons for the redox reaction to provide an electron pathway. Since the fuel cell does not undergo a thermal engine cycle, its efficiency is not limited by the Carnot cycle. Most of the emissions from the fuel cell are water, which is environmentally friendly. The mathematical model corresponding to the fuel cell model is as follows:

[0105]

[0106] In the above formula, V cell is the output of the proton exchange membrane fuel cell, E Nerst is the thermodynamic potential, V act is the activation polarization voltage, V ohm is the ohmic polarization overvoltage, V con is the concentration polarization overvoltage, T is the temperature, is the mass fraction of H2, is the mass fraction of O2, I is the current of the fuel cell model, ρ m is the resistivity of the proton exchange membrane, l is the thickness of the proton exchange membrane, A is the effective area of ​​the proton exchange membrane, R C is the electronic impedance, J is the actual current density, J max is the maximum current density.

[0107] In one embodiment, the mathematical model of the battery in this section mainly adopts a second-order RC model. According to the basic principle of the battery and Kirchhoff's law, the mathematical model corresponding to the battery model is as follows:

[0108]

[0109] In the above formula, I c is the battery output current, U1 is the voltage across R1, R1 is the electrochemical polarization internal resistance, C 11 is the electrochemical polarization capacitor, U2 is the voltage across R2, R2 is the concentration polarization internal resistance, C 22 is the concentration polarization capacitance, U c is the battery output voltage, U ococ is the open circuit voltage of the battery, R0 is the equivalent series resistance, and I1 is the current of R1.

[0110] During system operation, battery SOC estimation plays a very important role. The battery SOC is calculated as follows:

[0111]

[0112] In the above formula, Q t is the remaining battery power, Q n is the total charge of the battery.

[0113] In one embodiment, the hydrogen storage tank adopts a common high-pressure gaseous hydrogen storage model. The mathematical model corresponding to the hydrogen storage tank model is as follows:

[0114]

[0115] In the above formula, P1 is the real-time pressure of the hydrogen storage tank, P0 is the initial pressure of the hydrogen storage tank, z is the hydrogen compression constant, N H is the hydrogen flow rate, R is the gas constant, T H is the hydrogen storage tank temperature, V H is the volume of the hydrogen storage tank. At normal temperature and pressure, z=1, and at high pressure, z is less than 1, which can be obtained by looking up the table. Through the above actual gas state equation of hydrogen, according to the given volume and maximum pressure of the hydrogen storage tank and the initial pressure of the hydrogen storage tank, combined with the hydrogen consumption of the fuel cell and the hydrogen production of the electrolytic cell as the input parameters of the hydrogen storage tank, the real-time pressure of the hydrogen storage tank can be obtained as output to detect the hydrogen storage state of the hydrogen storage tank.

[0116] In one embodiment, the power consumption model in the electrolyzer model obtains output parameters such as hydrogen production and power consumption of the electrolyzer by inputting different parameters such as the rated working pressure, temperature, working voltage or working current of the fuel cell. The mathematical model corresponding to the electrolyzer model is as follows:

[0117] V=E+η act +η ohm +η diff

[0118] In the above formula, V is the cell voltage, E is the open circuit voltage, η act is the activation overpotential, η ohm is the Ohm overpotential, η diff is the concentration difference overpotential.

[0119] In this embodiment, the wind and light scenes include: no light in the preset time period and the wind speed increases from 3m / s to 7m / s (no light and wind increase), no wind in the preset time period and the light intensity increases from 100W / m 2 Increase to 500W / m 2 (No wind / solar increase), wind speed increases from 4m / s to 7m / s and light intensity increases from 400W / m 2 Increase to 800W / m 2 (Wind and solar power increase) The load current control strategy includes: PWM pulse width modulation strategy.

[0120] The working principle of wind-solar-hydrogen-storage coupled power generation is derived based on the model, and the stability of load current in typical scenarios without solar-wind augmentation, without wind-solar augmentation, and with wind-solar augmentation is considered, and the PWM pulse width modulation method is used to control the load current;

[0121] Since frequent start-stop or variable power operation of electrolyzers and fuel cells can easily lead to a significant reduction in their designed lifespan, the power generation systems that currently use fuel cells for energy supply generally adopt constant power output or smoothly variable power output of fuel cells in the design of operation strategies. The transient regulation and matching between power sources and loads is mainly achieved through low-loss and fast-response batteries. Therefore, it is very necessary to conduct stability research and analysis on systems that consider the coupled operation of wind power, photovoltaics, and battery modules.

[0122] Considering the load current stability, the PWM control method is used to control the load current. The main operation method is to add a sampling resistor and connect it in series with the load circuit, and monitor the sampling resistor. Since they are connected in series, as long as the current through the sampling resistor is stable, the load current is also stable.

[0123] Through this process, the voltage across the sampling resistor can be compared with the target voltage, and the difference between them can be adjusted proportionally (P) and integrally (I) by the PI regulator. Then, the carrier is compared with the target voltage by the limiter, and the pulse width is modulated to stabilize the voltage at the end of the sampling resistor.

[0124] The simulation model was built using simulink. The simulations were conducted for the scenarios of “no solar wind power increase”, “no wind solar power increase”, and “wind solar power increase”. The simulation results are shown in the figure below. Figure 4 As shown, specifically:

[0125] ① "Lightless wind increase" scenario

[0126] Always keep the no-light condition, then the wind speed is low but reaches the cut-in wind speed of the wind turbine, which is enough to drive the wind turbine to rotate. After a while, the wind speed is increased to achieve the "no-light wind increase" scenario. When the wind speed suddenly increases from 3m / s to 7m / s, the load completes the response in less than 0.1s, and then runs stably. The change curve is as follows Figure 4 (a) As shown in Figure 1, it can be seen that at 1.5 seconds, the sudden change in wind speed has a slight effect on the load current, but the adjustment is very fast and the load current returns to normal in a very short time. This reflects the rapid responsiveness and good adjustability of the wind-storage coupled power generation system.

[0127] ② “No wind and solar power addition” scenario

[0128] The wind speed is always kept very low or does not reach the cut-in wind speed. At this time, only the solar power generation system is working and the light intensity is small, so the power is insufficient. After a period of time, the light intensity is suddenly increased to achieve the "no wind and solar increase" scenario. The output performance curve obtained by simulation is as follows: Figure 4 As shown in (b), when the light intensity suddenly increases from 100W / m2 to 500W / m2, the system current is slightly disturbed at 1.5 seconds due to the battery's participation in power supply, power storage and PWM control, but it responds quickly within 0.1s, recovers and maintains a stable state, reflecting that the photovoltaic-storage coupled power generation system has fast response characteristics and good anti-interference performance.

[0129] ③ "Scenery and light increase" scene

[0130] The above two scenarios are combined, the initial light conditions and wind speed are set to be sufficient, and the light intensity and wind speed are suddenly increased after a period of time, and the power generation performance of the system is analyzed. The output performance curve obtained by simulation is as follows Figure 4 As shown in (c), from left to right, the wind power generation power, solar power generation power and load current change over time are shown respectively. When the wind speed suddenly increases from 4m / s to 7m / s and the light intensity suddenly increases from 400W / m2 to 800W / m2, the output power of the photovoltaic power generation system responds and remains stable within about 0.05s, while the wind power generation system responds relatively slowly, and the output power stabilizes after about 0.25s of response. When the light intensity and wind speed change suddenly, the load current hardly changes. This shows that the system has good adjustability and anti-interference.

[0131] In a specific embodiment, an experimental platform is built based on the simulation method provided in this application to conduct experimental research on the wind-solar-hydrogen storage coupled power generation system, including wind power generation module experiments, photovoltaic power generation module experiments, energy storage module experiments, and wind-solar-hydrogen storage coupling experiments to verify the effectiveness of the control technology.

[0132] The main factor affecting wind power generation is wind speed, and the main factors affecting solar power generation are light intensity and ambient temperature. In addition, there are solar altitude, geographical latitude and atmospheric transparency, but these are not the main influencing factors. This paper experimentally studies the impact of the main factors on power generation and energy storage systems, and formulates a strategy to keep the equipment running at maximum power based on the main influencing factors.

[0133] ① Wind power module experiment

[0134] The experiment pointed out the existence of the cut-in wind speed. After multiple experiments, the cut-in wind speed of the system was measured to be 3m / s. Under high wind speed (about 7m / s), when the current was increased from 0 to 36mA, the maximum power reached 1430mW when the current was about 33mA. At this time, the voltage across the wind turbine was about 720mV. By changing the angular velocity of the wind turbine blades while keeping other factors such as temperature, wind speed, and wind rotor size unchanged, the curves under different wind speeds were obtained, such as Figure 5 As shown in the figure, the greater the wind speed, the greater the maximum power generation, and as the cut-in wind speed increases, the wind rotor rotation angular velocity to achieve maximum power also increases. This specific angular velocity is called the optimal angular velocity. This paper adopts a variable step tracking method to gradually reduce the speed change step of maximum power tracking so that the wind turbine rotor angular velocity gradually approaches the optimal angular velocity, thereby maintaining wind power generation at maximum output power.

[0135] ② Photovoltaic power generation module experiment

[0136] The photovoltaic power generation module experiment was carried out using an LED lamp with adjustable light intensity as the light source. When the indoor temperature was 25°C, the light intensity was controlled to be 30000 lux, 40000 lux, and 50000 lux respectively. The obtained current and power change curves with voltage are as follows: Figure 6 As shown in (a) and (b), it can be seen from the figure that with the increase of light intensity, the short-circuit current of the photovoltaic power generation module increases, the open-circuit voltage increases slightly, and the power generation power gradually increases, and the output voltage corresponding to the maximum power point tends to move to the right. In addition, the light intensity is controlled to be 50000 lux, and the power generation characteristic curves are measured and plotted at ambient temperatures of 0℃, 10℃, 20℃, and 30℃, respectively. Figure 6 (c) and (d). As can be seen from the figure, as the temperature increases, the open circuit voltage decreases. At the same temperature, when the voltage increases from low to high, the current first remains basically unchanged, which is called the constant current zone. When the voltage exceeds the constant current zone, the output current decreases as the voltage increases. The output current in the constant current zone at different temperatures is basically the same. At the same time, as the temperature increases, the maximum power gradually decreases and the maximum power point moves to the left.

[0137] ③Energy storage module experiment

[0138] Whether it is wind power or solar power, in order to obtain more stable electricity, energy storage modules are needed. The specific operation in the experiment is to pass the generated electricity into a small electrolyzer to electrolyze water to obtain oxygen and hydrogen. The generated hydrogen and oxygen come out from both ends of the hydrogen generator and enter the bottom of two identical containers filled with distilled water for drainage and storage.

[0139] ④ Wind-solar-hydrogen storage coupling experiment

[0140] In the experiment, because the voltages at both ends of the current obtained by wind power generation and solar power generation are different and cannot be directly superimposed, the two devices are connected in parallel to the hydrogen energy storage module. The electricity generated by wind power and photovoltaic power is used to produce hydrogen through water electrolysis, so that the electrical energy is converted into chemical energy, and then the chemical energy of hydrogen is converted into electrical energy through fuel cells to supply the load. The study found that since the power of photovoltaic power generation is almost ten times that of wind power generation, the current power curve obtained is close to the solar power generation curve.

[0141] Example 2

[0142] Based on the same inventive concept, the present invention also provides a wind-solar-hydrogen storage coupled power generation simulation device with complementary electricity and hydrogen, and the wind-solar-hydrogen storage coupled power generation simulation device with complementary electricity and hydrogen includes:

[0143] A construction module is used to build a wind-solar-hydrogen storage coupled power generation simulation model with electric-hydrogen complementation according to the topological structure of the wind-solar-hydrogen storage coupled power generation system with electric-hydrogen complementation;

[0144] A simulation module, used to set wind-solar-solar scenarios and load current control strategies, and to simulate the wind-solar-hydrogen storage coupled power generation simulation model of the electric-hydrogen complementary power generation;

[0145] Among them, the wind-solar-hydrogen storage coupled power generation simulation model with electric-hydrogen complementarity includes: power generation module, conventional energy storage module, green hydrogen link, multi-functional distribution system and load.

[0146] Preferably, the power generation module is used to convert wind energy or solar energy into electrical energy; the conventional energy storage module and the green hydrogen link are both used to smooth the energy fluctuations in the wind-solar-hydrogen storage coupled power generation simulation model with electricity and hydrogen complementarity; the multifunctional power distribution system is used to realize the mutual flow of energy in the wind-solar-hydrogen storage coupled power generation simulation model with electricity and hydrogen complementarity.

[0147] Preferably, the power generation module includes at least one of the following: a photovoltaic power generation model and a wind power generation model.

[0148] Furthermore, the mathematical model corresponding to the photovoltaic power generation model is as follows:

[0149]

[0150] In the above formula, I pv is the output current of the photovoltaic power generation model, I sc is the short-circuit current, C1 is the first correction coefficient, C2 is the second correction coefficient, U is the output voltage of the photovoltaic power generation model, U oc is the open circuit voltage, I m is the maximum current of the photovoltaic power generation model, U m is the maximum voltage of the photovoltaic power generation model;

[0151] When the ambient temperature and light intensity change, the open circuit voltage is corrected to △UU oc , the short-circuit current is △II sc , the maximum current of the photovoltaic power generation model is △II m , the maximum voltage of the photovoltaic power generation model is △UU m , where △U is the voltage correction coefficient, △I is the current correction coefficient, and the voltage correction coefficient and current correction coefficient are as follows:

[0152]

[0153] In the above formula, s is the light intensity, S r is the reference light intensity under standard conditions, a is the first temperature compensation coefficient, T is the ambient temperature, T r is the reference ambient temperature under standard conditions, c is the second temperature compensation coefficient, e is the natural constant, and b is the light intensity compensation coefficient.

[0154] Furthermore, the mathematical model corresponding to the wind power generation model is as follows:

[0155]

[0156] In the above formula, S1 is the cross-sectional area of ​​the front end of the wind rotor, v1 is the average wind speed at the front end of the wind rotor, S2 is the cross-sectional area of ​​the rear end of the wind rotor, v2 is the average wind speed at the rear end of the wind rotor, S is the actual area of ​​the wind rotor, v is the average wind speed actually passing through the wind rotor, F is the force acting on the wind rotor, ρ is the wind density, and P is the wind turbine power.

[0157] Preferably, the energy storage module includes at least one of the following: a fuel cell model, a battery model, a hydrogen storage tank model, and an electrolyzer model.

[0158] Furthermore, the mathematical model corresponding to the fuel cell model is as follows:

[0159]

[0160] In the above formula, V cell is the output of the proton exchange membrane fuel cell, E Nerst is the thermodynamic potential, V act is the activation polarization voltage, V ohm is the ohmic polarization overvoltage, V con is the concentration polarization overvoltage, T is the temperature, is the mass fraction of H2, is the mass fraction of O2, I is the current of the fuel cell model, ρ mis the resistivity of the proton exchange membrane, l is the thickness of the proton exchange membrane, A is the effective area of ​​the proton exchange membrane, R C is the electronic impedance, J is the actual current density, J max is the maximum current density.

[0161] Furthermore, the mathematical model corresponding to the battery model is as follows:

[0162]

[0163] In the above formula, I c is the battery output current, U1 is the voltage across R1, R1 is the electrochemical polarization internal resistance, C 11 is the electrochemical polarization capacitor, U2 is the voltage across R2, R2 is the concentration polarization internal resistance, C 22 is the concentration polarization capacitance, U c is the battery output voltage, U ococ is the open circuit voltage of the battery, R0 is the equivalent series resistance, and I1 is the current of R1.

[0164] Furthermore, the mathematical model corresponding to the hydrogen storage tank model is as follows:

[0165]

[0166] In the above formula, P1 is the real-time pressure of the hydrogen storage tank, P0 is the initial pressure of the hydrogen storage tank, z is the hydrogen compression constant, N H is the hydrogen flow rate, R is the gas constant, T H is the hydrogen storage tank temperature, V H is the volume of the hydrogen storage tank.

[0167] Furthermore, the mathematical model corresponding to the electrolytic cell model is as follows:

[0168] V=E+η act +η ohm +η diff

[0169] In the above formula, V is the cell voltage, E is the open circuit voltage, η act is the activation overpotential, η ohm is the Ohm overpotential, η diff is the concentration difference overpotential.

[0170] Preferably, the scene includes: no sunlight during the preset time period and the wind speed increases from 3m / s to 7m / s, no wind during the preset time period and the light intensity increases from 100W / m 2 Increase to 500W / m 2 During the preset time period, the wind speed increases from 4m / s to 7m / s and the light intensity increases from 400W / m 2 Increase to 800W / m2 .

[0171] Preferably, the load current control strategy includes: a PWM pulse width modulation strategy.

[0172] Example 3

[0173] Based on the same inventive concept, the present invention also provides a computer device, which includes a processor and a memory, the memory is used to store a computer program, the computer program includes program instructions, and the processor is used to execute the program instructions stored in the computer storage medium. The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, which is suitable for implementing one or more instructions, and is specifically suitable for loading and executing one or more instructions in the computer storage medium to implement the corresponding method flow or corresponding function, so as to implement the steps of a wind-light-hydrogen storage coupled power generation simulation method with electric-hydrogen complementarity in the above embodiment.

[0174] Example 4

[0175] Based on the same inventive concept, the present invention also provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a computer device for storing programs and data. It can be understood that the computer-readable storage medium here can include both built-in storage media in a computer device and, of course, extended storage media supported by the computer device. The computer-readable storage medium provides a storage space that stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by a processor are also stored in the storage space, and these instructions can be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk memory. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the steps of a wind-light-hydrogen storage coupled power generation simulation method with electric-hydrogen complementarity in the above embodiment.

[0176] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented 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.

[0177] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0178] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0179] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0180] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A wind-solar-hydrogen storage coupled power generation simulation method with electricity-hydrogen complementarity, characterized in that: The method comprises: According to the topological structure of the wind-solar-hydrogen storage coupled power generation system with complementary electricity and hydrogen, a wind-solar-hydrogen storage coupled power generation simulation model with complementary electricity and hydrogen was established; Setting wind-solar-solar scenarios and load current control strategies, and simulating the wind-solar-hydrogen storage coupled power generation simulation model of the electric-hydrogen complementary power generation; Among them, the wind-solar-hydrogen storage coupled power generation simulation model with electric-hydrogen complementarity includes: power generation module, conventional energy storage module, green hydrogen link, multi-functional distribution system and load.

2. The method according to claim 1, characterized in that The power generation module is used to convert wind energy or solar energy into electrical energy; the conventional energy storage module and the green hydrogen link are both used to smooth the energy fluctuations in the wind-solar-hydrogen storage coupled power generation simulation model with electricity and hydrogen complementarity; the multifunctional power distribution system is used to realize the mutual flow in the wind-solar-hydrogen storage coupled power generation simulation model with electricity and hydrogen complementarity.

3. The method according to claim 1, characterized in that The power generation module includes at least one of the following: a photovoltaic power generation model and a wind power generation model.

4. The method according to claim 3, characterized in that The mathematical model corresponding to the photovoltaic power generation model is as follows: In the above formula, I pv is the output current of the photovoltaic power generation model, I sc is the short-circuit current, C1 is the first correction coefficient, C2 is the second correction coefficient, U is the output voltage of the photovoltaic power generation model, U oc is the open circuit voltage, I m is the maximum current of the photovoltaic power generation model, U m is the maximum voltage of the photovoltaic power generation model; When the ambient temperature and light intensity change, the open circuit voltage is corrected to △UU oc , the short-circuit current is △II sc , the maximum current of the photovoltaic power generation model is △II m , the maximum voltage of the photovoltaic power generation model is △UU m , where △U is the voltage correction coefficient, △I is the current correction coefficient, and the voltage correction coefficient and current correction coefficient are as follows: In the above formula, s is the light intensity, S r is the reference light intensity under standard conditions, a is the first temperature compensation coefficient, T is the ambient temperature, T r is the reference ambient temperature under standard conditions, c is the second temperature compensation coefficient, e is the natural constant, and b is the light intensity compensation coefficient.

5. The method according to claim 3, characterized in that The mathematical model corresponding to the wind power generation model is as follows: In the above formula, S1 is the cross-sectional area of ​​the front end of the wind rotor, v1 is the average wind speed at the front end of the wind rotor, S2 is the cross-sectional area of ​​the rear end of the wind rotor, v2 is the average wind speed at the rear end of the wind rotor, S is the actual area of ​​the wind rotor, v is the average wind speed actually passing through the wind rotor, F is the force acting on the wind rotor, ρ is the wind density, and P is the wind turbine power.

6. The method according to claim 1, characterized in that The conventional energy storage module includes at least one of the following: a fuel cell model and a battery model, and the green hydrogen link includes at least one of the following: a hydrogen storage tank model and an electrolyzer model.

7. The method according to claim 6, characterized in that The mathematical model corresponding to the fuel cell model is as follows: In the above formula, V cell is the output of the proton exchange membrane fuel cell, E Nerst is the thermodynamic potential, V act is the activation polarization voltage, V ohm is the ohmic polarization overvoltage, V con is the concentration polarization overvoltage, T is the temperature, is the mass fraction of H2, is the mass fraction of O2, I is the current of the fuel cell model, ρ m is the resistivity of the proton exchange membrane, l is the thickness of the proton exchange membrane, A is the effective area of ​​the proton exchange membrane, R C is the electronic impedance, J is the actual current density, J max is the maximum current density.

8. The method according to claim 6, characterized in that The mathematical model corresponding to the battery model is as follows: In the above formula, I c is the battery output current, U1 is the voltage across R1, R1 is the electrochemical polarization internal resistance, C 11 is the electrochemical polarization capacitor, U2 is the voltage across R2, R2 is the concentration polarization internal resistance, C 22 is the concentration polarization capacitance, U c is the battery output voltage, U ococ is the open circuit voltage of the battery, R0 is the equivalent series resistance, and I1 is the current of R1.

9. The method according to claim 6, characterized in that The mathematical model corresponding to the hydrogen storage tank model is as follows: In the above formula, P1 is the real-time pressure of the hydrogen storage tank, P0 is the initial pressure of the hydrogen storage tank, z is the hydrogen compression constant, N H is the hydrogen flow rate, R is the gas constant, T H is the temperature of the hydrogen storage tank, V H is the volume of the hydrogen storage tank.

10. The method according to claim 6, characterized in that The mathematical model corresponding to the electrolytic cell model is as follows: V=E+η act +n ohm +n diff In the above formula, V is the cell voltage, E is the open circuit voltage, η act is the activation overpotential, η ohm is the Ohm overpotential, η diff is the concentration difference overpotential.

11. The method according to claim 1, characterized in that The scene includes: no sunlight in the preset time period and the wind speed increases from 3m / s to 7m / s, no wind in the preset time period and the light intensity increases from 100W / m 2 Increase to 500W / m 2 During the preset time period, the wind speed increases from 4m / s to 7m / s and the light intensity increases from 400W / m 2 Increase to 800W / m 2 .

12. The method according to claim 1, characterized in that The load current control strategy includes: PWM pulse width modulation strategy.

13. A wind-solar-hydrogen storage coupled power generation simulation device with complementary electricity and hydrogen, characterized in that: The device comprises: A construction module is used to build a wind-solar-hydrogen storage coupled power generation simulation model with electric-hydrogen complementation according to the topological structure of the wind-solar-hydrogen storage coupled power generation system with electric-hydrogen complementation; A simulation module, used to set wind-solar-solar scenarios and load current control strategies, and to simulate the wind-solar-hydrogen storage coupled power generation simulation model of the electric-hydrogen complementary power generation; Among them, the wind-solar-hydrogen storage coupled power generation simulation model with electric-hydrogen complementarity includes: power generation module, conventional energy storage module, green hydrogen link, multi-functional distribution system and load.

14. The device according to claim 13, characterized in that The power generation module is used to convert wind energy or solar energy into electrical energy; the conventional energy storage module and the green hydrogen link are both used to smooth the energy fluctuations in the wind-solar-hydrogen storage coupled power generation simulation model with electricity and hydrogen complementarity; the multifunctional power distribution system is used to realize the mutual flow in the wind-solar-hydrogen storage coupled power generation simulation model with electricity and hydrogen complementarity.

15. The device according to claim 13, characterized in that The power generation module includes at least one of the following: a photovoltaic power generation model and a wind power generation model.

16. The device according to claim 15, characterized in that The mathematical model corresponding to the photovoltaic power generation model is as follows: In the above formula, I pv is the output current of the photovoltaic power generation model, I sc is the short-circuit current, C1 is the first correction coefficient, C2 is the second correction coefficient, U is the output voltage of the photovoltaic power generation model, U oc is the open circuit voltage, I m is the maximum current of the photovoltaic power generation model, U m is the maximum voltage of the photovoltaic power generation model; When the ambient temperature and light intensity change, the open circuit voltage is corrected to △UU oc , the short-circuit current is △II sc , the maximum current of the photovoltaic power generation model is △II m , the maximum voltage of the photovoltaic power generation model is △UU m , where △U is the voltage correction coefficient, △I is the current correction coefficient, and the voltage correction coefficient and current correction coefficient are as follows: In the above formula, s is the light intensity, S r is the reference light intensity under standard conditions, a is the first temperature compensation coefficient, T is the ambient temperature, T r is the reference ambient temperature under standard conditions, c is the second temperature compensation coefficient, e is the natural constant, and b is the light intensity compensation coefficient.

17. The device according to claim 15, characterized in that The mathematical model corresponding to the wind power generation model is as follows: In the above formula, S1 is the cross-sectional area of ​​the front end of the wind rotor, v1 is the average wind speed at the front end of the wind rotor, S2 is the cross-sectional area of ​​the rear end of the wind rotor, v2 is the average wind speed at the rear end of the wind rotor, S is the actual area of ​​the wind rotor, v is the average wind speed actually passing through the wind rotor, F is the force acting on the wind rotor, ρ is the wind density, and P is the wind turbine power.

18. The device according to claim 13, characterized in that The energy storage module includes at least one of the following: a fuel cell model, a battery model, a hydrogen storage tank model, and an electrolyzer model.

19. The device according to claim 18, characterized in that The mathematical model corresponding to the fuel cell model is as follows: In the above formula, V cell is the output of the proton exchange membrane fuel cell, E Nerst is the thermodynamic potential, V act is the activation polarization voltage, V ohm is the ohmic polarization overvoltage, V con is the concentration polarization overvoltage, T is the temperature, is the mass fraction of H2, is the mass fraction of O2, I is the current of the fuel cell model, ρ m is the resistivity of the proton exchange membrane, l is the thickness of the proton exchange membrane, A is the effective area of ​​the proton exchange membrane, R C is the electronic impedance, J is the actual current density, J max is the maximum current density.

20. The device according to claim 18, characterized in that The mathematical model corresponding to the battery model is as follows: In the above formula, I c is the battery output current, U1 is the voltage across R1, R1 is the electrochemical polarization internal resistance, C 11 is the electrochemical polarization capacitor, U2 is the voltage across R2, R2 is the concentration polarization internal resistance, C 22 is the concentration polarization capacitance, U c is the battery output voltage, U ococ is the open circuit voltage of the battery, R0 is the equivalent series resistance, and I1 is the current of R1.

21. The device according to claim 18, characterized in that The mathematical model corresponding to the hydrogen storage tank model is as follows: In the above formula, P1 is the real-time pressure of the hydrogen storage tank, P0 is the initial pressure of the hydrogen storage tank, z is the hydrogen compression constant, N H is the hydrogen flow rate, R is the gas constant, T H is the temperature of the hydrogen storage tank, V H is the volume of the hydrogen storage tank.

22. The device according to claim 18, characterized in that The mathematical model corresponding to the electrolytic cell model is as follows: V=E+η act +n ohm +n diff In the above formula, V is the cell voltage, E is the open circuit voltage, η act is the activation overpotential, η ohm is the Ohm overpotential, η diff is the concentration difference overpotential.

23. The device according to claim 13, characterized in that The scene includes: no sunlight in the preset time period and the wind speed increases from 3m / s to 7m / s, no wind in the preset time period and the light intensity increases from 100W / m 2 Increase to 500W / m 2 During the preset time period, the wind speed increases from 4m / s to 7m / s and the light intensity increases from 400W / m 2 Increase to 800W / m 2 .

24. The device according to claim 13, characterized in that The load current control strategy includes: PWM pulse width modulation strategy.

25. A computer device, characterized in that: include: one or more processors; The processor is configured to execute one or more programs; When the one or more programs are executed by the one or more processors, the wind-solar-hydrogen storage coupled power generation simulation method with electric-hydrogen complementarity as described in any one of claims 1 to 12 is implemented.

26. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed, the wind-solar-hydrogen storage coupled power generation simulation method with electric-hydrogen complementarity as described in any one of claims 1 to 12 is implemented.

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