Electro-hydrogen coupling system configuration and energy management method and device

Abstract

The invention discloses an electro-hydrogen coupling system configuration and energy management method, which comprises the following steps that a device model is obtained based on the operation characteristics of each module in a device, and the device model comprises the technical parameters of each module in the device; energy management strategy models of different operation modes are constructed on the basis of the mapping relation between the generated output and the electrical load of the device and scene characteristics of the hydrogen storage amount, and the operation modes comprise four modes including water electrolysis hydrogen production and storage, electricity abandoning after hydrogen storage is full, hydrogen fuel cell power generation and lack of power supply after the hydrogen storage amount is insufficient; the energy management strategy model is used for constraining technical parameters of each module of the device; a multi-target optimization model is constructed based on the parameter minimization of the leveling energy cost, the power shortage rate and the power abandoning rate; and inputting wind and light power generation resource data and power utilization load data, and obtaining a result of a configuration scheme of the device through a dung beetle optimization algorithm.

Description

Technical Field

[0001] The present invention belongs to the field of hydrogen energy, and in particular relates to an electric-hydrogen coupling system configuration and an energy management method and device. Background Art

[0002] Climate change and potential energy crises place high demands on the sustainability of energy supply systems. Hydrogen, as a widely available and versatile secondary energy source, can help address this challenge. On the one hand, hydrogen produced from renewable electricity such as wind power and photovoltaics effectively decarbonizes because it produces no carbon emissions during use. On the other hand, hydrogen is stored and transported in physical form, eliminating the need for real-time balancing like electricity, offering greater flexibility and adjustability. The electric-hydrogen coupling system is a typical form of hydrogen energy application. It uses abundant wind and photovoltaic power generation to electrolyze water to produce and store hydrogen, providing hydrogen products. It can also be used to supplement wind and photovoltaic power generation through hydrogen fuel cells, alleviating the impact of their intermittent output on power supply.

[0003] The application of electric-hydrogen coupled systems primarily involves sizing and energy management strategies. On the energy management front, the system must fully leverage its hydrogen production capabilities to absorb excess wind and solar power. Furthermore, the hydrogen fuel cell's power generation capacity can be leveraged to meet electricity demand during periods of low wind and solar power generation, ensuring stable and reliable power supply.

[0004] In response to the above-mentioned problems, it is necessary to construct a mathematical model of the electric-hydrogen coupling system, and provide scale configuration methods and energy management strategies through the mathematical model. It is also necessary to ensure the coordinated planning of modules such as wind and solar power generation, hydrogen production, hydrogen storage, and fuel cells, and to ensure that the current solution speed and convergence are difficult to meet the solution requirements. Summary of the Invention

[0005] To solve the above problems, the present invention proposes a method and device for configuring and managing an electric-hydrogen coupling system. By constructing a mathematical model of the electric-hydrogen coupling system configuration and energy management device, which includes an energy management strategy, and further constructing a model of each module in the device to calculate the configuration scheme of the device, the dung beetle optimization algorithm is introduced to solve the collaborative planning problem of multiple facilities in the device, such as wind and solar power generation, hydrogen production, hydrogen storage, and fuel cells, thereby overcoming the difficulty of traditional optimization solution methods in meeting the solution requirements in terms of solution speed and convergence.

[0006] A first aspect of the present invention provides a method for configuring and managing an electric-hydrogen coupling system, which is applied to an apparatus for configuring and managing an electric-hydrogen coupling system. The apparatus includes a power grid module, a DC / AC converter module, a wind-solar power generation module, an electrolyzer module, a hydrogen storage tank module, and a fuel cell module, and comprises the following steps: Obtaining the device model based on the operating characteristics of each module in the device, wherein the device model includes technical parameters of each module in the device; Based on the mapping relationship between the power generation output and the power load of the device and the scenario characteristics of the hydrogen storage capacity, an energy management strategy model with different operating modes is constructed, wherein the operating modes include "hydrogen production and storage by electrolysis of water", "abandonment of electricity after full hydrogen storage", "hydrogen fuel cell power generation", and "power supply shortage after insufficient hydrogen storage". The energy management strategy model is used to constrain the technical parameters of each module of the device; A multi-objective optimization model is constructed based on the minimization of parameters such as levelized energy cost, power shortage rate, and power curtailment rate. The wind and solar power generation resource data and the power load data are input to obtain the configuration scheme result of the device through the dung beetle optimization algorithm. The configuration scheme result includes the technical parameter result of each module and the configuration information of the device.

[0007] Preferably, the step of obtaining the device model based on the operating characteristics of each module in the device further comprises: A wind turbine model is constructed based on the characteristics and wind speed data of the wind-solar power generation module, and the expression is: In the formula It is the rated power of the wind turbine of the wind-solar power generation module when it works at the rated wind speed. is the cut-in wind speed, is the rated wind speed of the wind turbine of the wind-solar power generation module, To cut out the wind speed, The efficiency of the wind turbine of the wind and solar power generation module, The number of wind turbines in the wind and solar power generation module; A photovoltaic model is constructed based on the photovoltaic characteristics of the wind-solar power generation module and the temperature of the photovoltaic solar cells of the wind-solar power generation module. The expression is: In the formula It is the nominal power generation of the photovoltaic wind power generation module under the standard operating environment (25°C). The photovoltaic power generation efficiency of the wind and solar power generation module; Solar irradiance, is the temperature coefficient, The temperature of the photovoltaic solar cells of the wind power generation module, is the number of photovoltaic power generation units; Building models based on the characteristics of the electrolyzer module and the hydrogen storage tank module respectively; A fuel cell model is constructed based on the characteristics of the fuel cell module, and the expression is: In the formula is the output power of the electrolyzer module, is the input power of the electrolyzer module, is the energy conversion efficiency of the electrolyzer module; A DC / AC converter model is constructed based on the characteristics of the DC / AC converter module, and the expression is: In the formula is the power of the wind-solar power generation module passing through the DC / AC converter module, is the efficiency of the DC / AC converter module.

[0008] Preferably, the expression of the wind speed data is: Where, For height The wind speed of the wind turbine of the wind-solar power generation module at For height The wind speed of the wind turbine of the wind-solar power generation module measured by the anemometer at , is the friction coefficient; The expression for the temperature of the photovoltaic solar cell of the wind-solar power generation module is: In the formula is the ambient temperature, is the solar irradiance, The measured temperature of the photovoltaic module during the test.

[0009] Preferably, the step of constructing the models based on the characteristics of the electrolyzer module and the hydrogen storage tank module further includes: The hydrogen production power is calculated based on the characteristics of the electrolyzer module, and the expression is: In the formula The power supply for the electrolyzer module, is the efficiency of the electrolyzer module; The stored chemical energy of the hydrogen storage tank module is calculated based on the hydrogen energy production power and the characteristics of the hydrogen storage tank module, and the expression is: In the formula is the stored chemical energy of the hydrogen storage tank module at time t-1, for said hydrogen energy production power, is the hydrogen energy power output from the hydrogen storage tank module to the fuel cell module at time t, is the storage efficiency of the hydrogen storage tank module, is the shortest scheduling time step of the device; The mass of hydrogen stored in the hydrogen storage tank module is calculated based on the stored chemical energy of the hydrogen storage tank module, and the expression is: In the formula is the mass of hydrogen stored in the hydrogen storage tank module, is the stored chemical energy of the hydrogen storage tank module at time t, is the higher calorific value of hydrogen; The constraint condition for the hydrogen storage capacity of the hydrogen storage tank module is constructed as follows: In the formula is the lower limit threshold of the hydrogen quality stored in the hydrogen storage tank, The upper threshold value of the hydrogen quality stored in the hydrogen storage tank.

[0010] Preferably, the step of constructing an energy management strategy model for different operating modes based on the mapping relationship between the power generation output and the power load of the device and the scenario characteristics of the hydrogen storage capacity further includes: Construct the constraint condition set of the "electrolysis of water to produce hydrogen and store" mode, and the expressions are: In the formula is the total renewable energy output of the wind and solar power generation module, affected constraint, is the efficiency of the DC / AC converter module, is the electricity load, is the power generation power of the wind turbine of the wind-solar power generation module, is the photovoltaic power generation power of the wind-solar power generation module, is the hydrogen mass of the hydrogen storage tank module, is the upper limit threshold of hydrogen quality, The power supply to the electrolyzer module, is the power of the DC / AC converter module; Construct the constraint condition set of the “abandon electricity after full hydrogen storage” mode, and the expressions are: In the formula is the hydrogen mass of the hydrogen storage tank module, is the upper limit threshold of hydrogen quality, is the power supply of the electrolyzer module, is the abandoned power; Construct the constraint condition set of the "hydrogen fuel cell power generation" mode, and the expressions are: ; In the formula is the power of the fuel cell module, is the output power of the electrolyzer module, is the power of the DC / AC converter module; Construct the constraint condition set of the "power supply shortage after insufficient hydrogen storage" mode, and the expressions are: In the formula is the no-load power, is the power of the DC / AC converter module.

[0011] Preferably, the step of constructing a multi-objective optimization model based on parameter minimization of the levelized energy cost, power shortage rate, and power abandonment rate further includes: Constructing a levelized energy cost model, wherein the levelized energy cost model is the average cost per unit load throughout the year; A power shortage rate model is constructed. The power shortage rate model is the ratio of power shortage to total power load throughout the year, and the expression is: In the formula is the power shortage rate, is the no-load power, is the electricity load; Construct a power curtailment rate model, which is the ratio of the amount of power curtailment to the total power generation of the wind and solar power generation modules throughout the year, and is expressed as: In the formula is the power abandonment rate, is the abandoned power, is the total renewable energy output of the wind and solar power generation module; The objective function of the multi-objective optimization model is constructed based on the power shortage rate, the power abandonment rate and the levelized energy cost, and the expression is: In the formula To levelize the cost of energy, 、 and They are the levelized energy cost weighting factor, the power shortage rate weighting factor and the power abandonment rate weighting factor respectively.

[0012] Preferably, the step of constructing the levelized energy cost model further includes: Calculate the return on investment factor, the expression is: In the formula is the interest rate, is the service life of the module with index i in the device; The annualized investment cost of each module of the device is calculated as follows: In the formula is the actual investment cost of the module indexed by i in the device, is the return on investment factor of the module with index i in the device; The annualized investment cost of the device is calculated as follows: In the formula is the number of modules in the device, is the annualized investment cost of the module with index i in the device; Calculate the annual equipment replacement cost using the expression: In the formula is the single replacement cost of the corresponding module with index i in the device, is the total useful life of the device; Calculate the total annualized cost, the expression is: In the formula 、 、 are the annualized investment cost, annual operation and maintenance cost, and annual equipment replacement cost of the device respectively; The levelized energy cost is calculated based on the total annualized cost and the electricity load, and the expression is: In the formula To levelize the cost of energy, is the total annualized cost, is the electrical load.

[0013] Preferably, the step of inputting wind and solar power generation resource data and power load data to calculate the result of the configuration scheme of the device through the dung beetle optimization algorithm further includes: Construct a dung beetle rolling stage model to calculate position update data; A model of the dung beetle egg-laying stage is constructed based on the position update data. The model of the dung beetle egg-laying stage includes the dimension of the configuration scheme of the device and the position of the optimal solution, and the expression is: In the formula The location of the optimal solution for the configuration of the device, 、 are random vectors of 1×D, where D is the dimension of the configuration scheme of the device, is the position of the m-th dung ball in the t-th iteration, 、 Specify the upper and lower boundaries of the region respectively and pass and calculate, 、 are the upper and lower boundaries of the configuration scheme of the device, respectively, and R is the calculation factor Calculated, is the maximum number of iterations; A model of the dung beetle's foraging stage is constructed to calculate the optimal solution position of the device configuration scheme, and the expression is: In the formula is the position of the s-th dung beetle larva in the t-th iteration, is a normally distributed random number, is a random vector between [0,1], is the optimal solution position of the configuration scheme of the device, 、 are the upper and lower boundaries of the optimal solution position and are respectively passed through: and Calculated; The model of the dung beetle's stealing stage is constructed to calculate the result of the configuration scheme of the device, and the expression is: In the formula is the position of the bth dung beetle that steals in the tth iteration, is a fixed constant, is a 1×D normally distributed random vector.

[0014] Preferably, the step of constructing a dung beetle rolling stage model to calculate position update data further includes: The dung beetle rolling stage model is divided into a rolling model and a turning model; The rolling model is used to explore the environment by rolling the dung ball without any obstacles in front, and the expression is: Where t is the number of iterations, is the position of the rth dung beetle in the tth iteration, k is the deflection coefficient, and its value range is ; is a constant in the interval (0, 1), The rolling coefficient is 1 and -1, which represent no deviation and deviation from the original direction respectively. is the position with the worst objective function value among all dung beetles, is the change in light source intensity; The steering model is used to explore the environment with obstacles by rolling the dung ball, and the expression is: In the formula is the deflection angle, and its value range is .

[0015] A second aspect of the present invention provides an electric-hydrogen coupling system configuration and energy management device, comprising: Power grid module; a DC / AC converter module, configured to obtain AC power based on DC power and output the AC power, wherein an output end of the DC / AC converter module is connected to the power grid module via a cable; A wind-solar power generation module, comprising a wind power generation module and a photovoltaic power generation module, for obtaining electrical energy based on the conversion of mechanical energy into electrical energy and the photovoltaic effect, respectively, and outputting the electrical energy through a cable; the wind-solar power generation module is connected to the input end of the DC / AC converter module, and the photovoltaic power generation module comprises a plurality of photovoltaic power generation panels, which are connected in series; An electrolyzer module, used to produce hydrogen energy from excess wind and solar power generation output based on water electrolysis, the electrolyzer module being connected to the wind and solar power generation module via a cable; A hydrogen storage tank module, used to achieve energy balance across time by storing hydrogen, the electrolyzer module and the hydrogen storage tank module being connected via a pipeline; A fuel cell module is used to convert hydrogen into electricity and obtain electrical energy. The fuel cell module is connected to the hydrogen storage tank module, and the fuel cell module is connected to the input end of the DC / AC converter module. The fuel cell of the fuel cell module adopts a proton exchange membrane fuel cell.

[0016] Due to the adoption of the above technical solution, the present invention has the following advantages and positive effects compared to the existing technology: a mathematical model based on the configuration of an electric-hydrogen coupling system and an energy management device is constructed. The mathematical model innovatively proposes four energy management operation models, namely "hydrogen production and storage by electrolysis of water", "power abandonment after full hydrogen storage", "hydrogen fuel cell power generation", and "power shortage after insufficient hydrogen storage". By innovatively introducing the dung beetle optimization algorithm to solve the model, a scientific and effective method is provided for the technical parameters of the device and the results of the device configuration scheme. In summary, this method can scientifically configure each module in the electric-hydrogen coupling device and provide a reasonable energy management strategy for the electric-hydrogen coupling device. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The specific embodiments of the present invention are further described in detail below with reference to the accompanying drawings, wherein: Figure 1 A schematic diagram of the main process of an electric-hydrogen coupling system configuration and energy management method in the present invention; Figure 2 A schematic diagram of the framework of an electric-hydrogen coupling system configuration and energy management device in the present invention; Figure 3 A schematic flow chart of a dung beetle optimization algorithm for an electric-hydrogen coupling system configuration and energy management method in the present invention; Figure 4 This is a wind speed resource curve diagram in input wind and solar power generation resource data according to an embodiment of the present invention; Figure 5 A solar radiation resource curve diagram in input wind and solar power generation resource data according to an embodiment of the present invention; Figure 6 This is a graph of an input power load curve according to an embodiment of the present invention; Figure 7 This is the iterative convergence performance of the dung beetle optimization algorithm in the present invention for solving the configuration problem of the electric-hydrogen coupling system. DETAILED DESCRIPTION

[0018] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments. The advantages and features of the present invention will become more apparent from the following description and claims. It should be noted that the drawings are greatly simplified and not to exact ratios, and are intended solely to facilitate and clearly illustrate the embodiments of the present invention.

[0019] It should be noted that all directional indications in the embodiments of the present invention (such as up, down, left, right, front, back, etc.) are only used to explain the relative position relationship, movement status, etc. between the various components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.

[0020] First embodiment See also Figures 1 to 7 A first aspect of the present invention provides a method for configuring and managing an electric-hydrogen coupling system, which is applied to an apparatus for configuring and managing an electric-hydrogen coupling system. The apparatus includes a power grid module, a DC / AC converter module, a wind-solar power generation module, an electrolyzer module, a hydrogen storage tank module, and a fuel cell module, and comprises the following steps: Obtaining a device model based on the operating characteristics of each module in the device, the device model including technical parameters of each module in the device; Based on the mapping relationship between the device's power output and power load, and the scenario characteristics of hydrogen storage, an energy management strategy model with different operating modes is constructed. The operating modes include "hydrogen production and storage by water electrolysis", "power abandonment after full hydrogen storage", "hydrogen fuel cell power generation", and "power shortage after insufficient hydrogen storage". The energy management strategy model is used to constrain the technical parameters of each module of the device; A multi-objective optimization model is constructed based on the minimization of parameters such as levelized energy cost, power shortage rate, and power curtailment rate. The wind and solar power generation resource data and power load data are input and the device configuration plan is obtained through the dung beetle optimization algorithm. The configuration plan result includes the technical parameter results of each module and the device configuration information.

[0021] See also Figure 1 , see the following description for specific steps: S100, based on an electric-hydrogen coupling system configuration and the operating characteristics of each module in the energy management device, the device is specifically referred to Figure 1 , quantitatively characterize wind and solar power generation modules, electrolyzer modules, hydrogen storage tank modules, fuel cell modules, and DC / AC converter modules, as follows: S110: A wind turbine model is constructed based on the characteristics of the wind turbine of the wind-solar power generation module and the wind speed data. The expression is: In the formula It is the rated power of the wind turbine of the wind-solar power generation module when it works at the rated wind speed. is the cut-in wind speed, is the rated wind speed of the wind turbine of the wind-solar power generation module, To cut out the wind speed, The efficiency of the wind turbine of the wind and solar power generation module, The number of wind turbines in the wind and solar power generation module; The expression of wind speed data is: Where, For height The wind speed of the wind turbine of the wind power generation module at that time, For height The wind speed of the wind turbine of the wind-solar power generation module is measured by the anemometer at is the friction coefficient, set the value according to the wind level, under strong wind conditions Set to 0.11, under normal wind conditions Set to 0.20.

[0022] From the above expression, it can be concluded that the wind turbine power output is determined by the wind speed, wind turbine height and wind turbine specifications.

[0023] Based on the photovoltaic characteristics of the wind-solar power generation module and the temperature of the photovoltaic solar cells of the wind-solar power generation module, the expression is: In the formula It is the nominal power generation of the photovoltaic wind power generation module under the standard operating environment (25°C). The photovoltaic power generation efficiency of the wind and solar power generation module; Solar irradiance, is the temperature coefficient, The temperature of the photovoltaic solar cells of the wind power generation module, is the number of photovoltaic power generation units; The expression for the temperature of the photovoltaic solar cell of the wind power generation module is: In the formula is the ambient temperature, Solar irradiance, The measured temperature of the photovoltaic module during the test.

[0024] S120: Based on the characteristics of the electrolyzer module and the hydrogen storage tank module, the production, storage and consumption of hydrogen are expressed in terms of the equivalent of stored chemical energy. The specific process is as follows: The hydrogen production power is calculated based on the characteristics of the electrolyzer module, and the expression is: In the formula The power supply to the electrolyzer module, is the efficiency of the electrolyzer module; The stored chemical energy of the hydrogen storage tank module is calculated based on the hydrogen production power and the characteristics of the hydrogen storage tank module. The expression is: In the formula is the stored chemical energy of the hydrogen storage tank module at time t-1, Producing power for hydrogen, is the hydrogen energy power output from the hydrogen storage tank module to the fuel cell module at time t, is the storage efficiency of the hydrogen storage tank module, which is set to 95% in this embodiment. is the shortest scheduling time step of the device; in this embodiment, it is set to 1h.

[0025] S130: Calculate the mass of hydrogen stored in the hydrogen storage tank module based on the stored chemical energy of the hydrogen storage tank module. The expression is: In the formula is the mass of hydrogen stored in the hydrogen storage tank module, is the stored chemical energy of the hydrogen storage tank module at time t, is the high calorific value of hydrogen, which is set to 39.7 kWh / m 2 ; Construct the constraint condition of hydrogen storage capacity of hydrogen storage tank module, the expression is: In the formula The lower limit threshold of hydrogen quality stored in the hydrogen storage tank, The upper threshold value of the hydrogen quality stored in the hydrogen storage tank.

[0026] S140: Construct a fuel cell model based on the characteristics of the fuel cell module. The expression is: In the formula is the output power of the electrolyzer module, is the input power of the electrolyzer module, is the energy conversion efficiency of the electrolyzer module, which is set to 50% in this embodiment. S150: Construct a DC / AC converter model based on the characteristics of the DC / AC converter module. The expression is: In the formula The power of the wind and solar power generation module passing through the DC / AC converter module, is the efficiency of the DC / AC converter module, which is set to 95% in this embodiment.

[0027] S200: Based on the mapping relationship between the device's power output and power load and the scenario characteristics of the hydrogen storage capacity, an energy management strategy model with different operating modes is constructed. The operating modes include "hydrogen production and storage by water electrolysis", "power abandonment after full hydrogen storage", "hydrogen fuel cell power generation", and "power supply shortage after insufficient hydrogen storage". The energy management strategy model is used to constrain the technical parameters of each module of the device; The device's energy management strategy depends on the relationship between wind and solar power generation output and power load, and is further strongly related to the storage capacity of the hydrogen storage tank module. The operating modes include "hydrogen production and storage by water electrolysis", "power abandonment after full hydrogen storage", "hydrogen fuel cell power generation", and "power supply shortage after insufficient hydrogen storage". S210: The constructed "hydrogen production and storage" model should meet the following requirements: the sum of wind power generation and photovoltaic power generation is the total renewable energy output of the device. The specific process is as follows: Construct the constraint condition set of the "electrolysis of water to produce hydrogen and store" mode, and the expressions are: In the formula is the total renewable energy output of the wind and solar power modules, affected constraint, is the efficiency of the DC / AC converter module, is the electricity load, is the power generation capacity of the wind turbine of the wind-solar power generation module, The photovoltaic power generation power of the wind and solar power generation module, is the hydrogen quality of the hydrogen storage tank module, is the upper limit threshold of hydrogen quality, The power supply to the electrolyzer module, is the power of the DC / AC converter module; S220: The established "power abandonment after full hydrogen storage" mode meets the following conditions: When the total output of renewable energy is sufficient to meet all power load demands, but the capacity of the hydrogen storage tank module has reached its upper limit, the specific process is as follows: Construct the constraint condition set of the “abandon electricity after full hydrogen storage” mode, and the expressions are: In the formula is the hydrogen quality of the hydrogen storage tank module, is the upper limit threshold of hydrogen quality, is the power supply of the electrolyzer module, is the abandoned power; S230: The constructed "hydrogen fuel cell power generation" mode satisfies the following conditions: when the total output of renewable energy is insufficient to meet all power load demands, and the capacity of the hydrogen storage tank module is higher than the lower limit, the specific process is as follows: Construct the constraint condition set of the "hydrogen fuel cell power generation" mode, and the expressions are: ; In the formula is the power of the fuel cell module, is the output power of the electrolyzer module, is the power of the DC / AC converter module; S240: The established "power supply shortage after insufficient hydrogen storage" mode must meet the following conditions: when the total output of renewable energy is insufficient to meet all power load demands, but the capacity of the hydrogen storage tank module has reached the lower limit, the specific model is as follows: Construct the constraint condition set of the "power supply shortage after insufficient hydrogen storage" mode, and the expressions are: In the formula is the no-load power, is the power of the DC / AC converter module.

[0028] S300: A multi-objective optimization model is constructed based on the minimization of the levelized energy cost, power shortage rate, and power curtailment rate. The primary goal of configuring the electric-hydrogen coupling system is to achieve the lowest possible power supply cost, while also aiming to achieve the highest possible power supply reliability and energy utilization. To this end, the levelized energy cost is used to quantify the power supply cost of the electric-hydrogen coupling system, while the power shortage rate and power curtailment rate are used to quantify the power supply reliability and energy utilization.

[0029] The steps of constructing a multi-objective optimization model based on parameter minimization of the levelized cost of energy, power shortage rate, and power curtailment rate further include: S310: Construct a levelized energy cost model. The levelized energy cost model is the average cost per unit load throughout the year. The specific process is as follows: The steps of constructing the levelized cost of energy model further include: Calculate the return on investment factor, the expression is: In the formula is the interest rate, is the service life of the module with index i in the device; The annualized investment cost of each module of the computing device is expressed as: In the formula is the actual investment cost of the module with index i in the device, is the return on investment factor of the module with index i in the device; The annualized investment cost of the calculation device is expressed as: In the formula is the number of modules in the device, is the annualized investment cost of the module with index i in the device; Calculate the annual equipment replacement cost using the expression: In the formula is the single replacement cost of the module with index i in the device, is the total useful life of the device; Calculate the total annualized cost, the expression is: In the formula 、 、 They are the annual investment cost, annual operation and maintenance cost, and annual equipment replacement cost of the device; The levelized energy cost is calculated based on the total annualized cost and electricity load. The expression is: In the formula To levelize the cost of energy, is the total annualized cost, For the electrical load.

[0030] S320: Construct a power shortage rate model. The power shortage rate model is the ratio of power shortage to total power load throughout the year, and the expression is: In the formula is the power shortage rate, is the no-load power, is the electricity load; S330: Construct a power curtailment rate model. The power curtailment rate model is the ratio of the amount of power curtailment to the total power generation of the wind and solar power generation modules throughout the year. The expression is: In the formula is the power abandonment rate, is the abandoned power, is the total renewable energy output of the wind and solar power modules; S340: The objective function of the multi-objective optimization model is constructed based on the power shortage rate, power curtailment rate and levelized energy cost. The expression is: In the formula To levelize the cost of energy, 、 and They are the levelized energy cost weighting factor, the power shortage rate weighting factor and the power abandonment rate weighting factor respectively.

[0031] Tables 1 and 2 below respectively show the technical and economic parameters of each equipment unit in the electric-hydrogen coupling system of this embodiment.

[0032] See also Figure 3 , S400: Input wind and solar power generation resource data and power load data to calculate the configuration plan of the device through the dung beetle optimization algorithm.

[0033] The specific implementation process is: using the dung beetle optimization algorithm to solve the proposed electric-hydrogen coupling system configuration model to achieve faster solution speed and higher convergence. The dung beetle optimization algorithm simulates the behavior of dung beetles to search for the optimal solution, including the following stages: S410 constructs a dung beetle rolling stage model to calculate position update data, as follows: The step of constructing a dung beetle rolling phase model to calculate position update data further includes: The dung beetle rolling stage model is divided into a rolling model and a turning model; The rolling model is used to explore the environment by rolling the dung ball without any obstacles in front. The expression is: Where t is the number of iterations, is the position of the rth dung beetle in the tth iteration, k is the deflection coefficient, which is within the scope; is a constant in the interval (0, 1), The rolling coefficient is 1 and -1, which represent no deviation and deviation from the original direction respectively. is the position with the worst objective function value among all dung beetles, is the change in light source intensity; The steering model is used to explore the environment with obstacles by rolling the dung ball, and its expression is: In the formula is the deflection angle, and its value range is .

[0034] S420: Constructing a model of the dung beetle egg-laying stage based on the position update data. The model of the dung beetle egg-laying stage includes the dimension of the device configuration scheme and the position of the optimal solution, and the expression is: In the formula is the location of the optimal solution for the device configuration scheme, 、 are random vectors of 1×D, where D is the dimension of the device configuration scheme, is the position of the m-th dung ball in the t-th iteration, 、 Specify the upper and lower boundaries of the region respectively and pass and calculate, 、 are the upper and lower boundaries of the device configuration scheme, respectively, and R is the calculation factor Calculated, is the maximum number of iterations; S430: Constructing a model of the dung beetle foraging stage to calculate the position of the optimal solution of the configuration scheme of the device, the expression is: In the formula is the position of the s-th dung beetle larva in the t-th iteration, is a normally distributed random number, is a random vector between [0,1], is the optimal solution position of the device configuration scheme, 、 are the upper and lower boundaries of the optimal solution position and are respectively passed through: and Calculated; S440: Constructing a model of the dung beetle stealing stage to calculate the result of the configuration scheme of the device, the expression is: In the formula is the position of the bth dung beetle that steals in the tth iteration, is a fixed constant, is a 1×D normally distributed random vector.

[0035] See also Figure 4~Figure 5 The typical wind and solar power generation resource data and load data shown are used as input to solve the configuration model of the electric-hydrogen coupling system using the dung beetle optimization algorithm, and the configuration results shown in Table 3 are obtained: pass Figure 7 The iterative convergence performance of the dung beetle optimization algorithm for solving the configuration problem of an electric-hydrogen coupled system is demonstrated. The results show that the dung beetle optimization algorithm achieves a faster solution speed and higher convergence.

[0036] Preferably, the step of obtaining the device model based on the operating characteristics of each module in the device further comprises: The wind turbine model is constructed based on the characteristics and wind speed data of the wind and solar power generation module. The expression is: In the formula It is the rated power of the wind turbine of the wind-solar power generation module when it works at the rated wind speed. is the cut-in wind speed, is the rated wind speed of the wind turbine of the wind-solar power generation module, To cut out the wind speed, The efficiency of the wind turbine of the wind and solar power generation module, The number of wind turbines in the wind and solar power generation module; A photovoltaic model is constructed based on the photovoltaic characteristics of the wind-solar power generation module and the temperature of the photovoltaic solar cells of the wind-solar power generation module. The expression is: In the formula It is the nominal power generation of the photovoltaic wind power generation module under the standard operating environment (25°C). The photovoltaic power generation efficiency of the wind and solar power generation module; Solar irradiance, is the temperature coefficient, The temperature of the photovoltaic solar cells of the wind power generation module, is the number of photovoltaic power generation units; Build models based on the characteristics of the electrolyzer module and the hydrogen storage tank module respectively; The fuel cell model is constructed based on the characteristics of the fuel cell module. The expression is: In the formula is the output power of the electrolyzer module, is the input power of the electrolyzer module, is the energy conversion efficiency of the electrolyzer module; The DC / AC converter model is constructed based on the characteristics of the DC / AC converter module, and the expression is: In the formula The power of the wind and solar power generation module passing through the DC / AC converter module, is the efficiency of the DC / AC converter module.

[0037] This approach modeled each module within the device, achieving: reducing wind and solar curtailment for efficient renewable energy utilization; dynamically adjusting the matching of hydrogen production, storage, and power generation to optimize the hydrogen energy storage system; achieving stable grid connection and low harmonics for improved grid friendliness; and optimizing efficiency across multiple links to maximize overall system efficiency. Ultimately, this concept resulted in the construction of a closed-loop energy system combining prediction, control, and optimization, providing technical support for the large-scale application of clean energy.

[0038] Preferably, the expression of wind speed data is: Where, For height The wind speed of the wind turbine of the wind power generation module at that time, For height The wind speed of the wind turbine of the wind-solar power generation module is measured by the anemometer at is the friction coefficient; The expression for the temperature of the photovoltaic solar cell of the wind power generation module is: In the formula is the ambient temperature, is the solar irradiance, The measured temperature of the photovoltaic module during the test.

[0039] This solution reduces resource waste and enables efficient utilization of renewable energy; achieves multi-energy synergy and stability through energy balance across time and space; and achieves both economic efficiency and reliability at low cost and high efficiency. This solution provides a technical paradigm for the large-scale application of clean energy.

[0040] Preferably, the step of constructing the models based on the characteristics of the electrolyzer module and the hydrogen storage tank module further includes: The hydrogen production power is calculated based on the characteristics of the electrolyzer module, and the expression is: In the formula The power supply to the electrolyzer module, is the efficiency of the electrolyzer module; The stored chemical energy of the hydrogen storage tank module is calculated based on the hydrogen production power and the characteristics of the hydrogen storage tank module. The expression is: In the formula is the stored chemical energy of the hydrogen storage tank module at time t-1, Producing power for hydrogen, is the hydrogen energy power output from the hydrogen storage tank module to the fuel cell module at time t, is the storage efficiency of the hydrogen storage tank module, is the shortest scheduling time step of the device; The mass of hydrogen stored in the hydrogen storage tank module is calculated based on the stored chemical energy of the hydrogen storage tank module. The expression is: In the formula is the mass of hydrogen stored in the hydrogen storage tank module, is the stored chemical energy of the hydrogen storage tank module at time t, is the higher calorific value of hydrogen; Construct the constraint condition of hydrogen storage capacity of hydrogen storage tank module, the expression is: In the formula The lower limit threshold of hydrogen quality stored in the hydrogen storage tank, The upper threshold value of the hydrogen quality stored in the hydrogen storage tank.

[0041] This modeling method achieves the following by constructing an electrolyzer-hydrogen storage tank model in steps: refined management of the entire process of hydrogen energy "production-storage-use" to ensure system safety and efficiency; dynamic response at multiple time scales to smooth out fluctuations in renewable energy and support grid dispatch; dual optimization of economy and reliability to promote large-scale application of clean energy.

[0042] Preferably, the step of constructing an energy management strategy model for different operation modes based on the mapping relationship between the power generation output and the power load of the device and the scenario characteristics of the hydrogen storage capacity further includes: Construct the constraint condition set of the "electrolysis of water to produce hydrogen and store" mode, and the expressions are: In the formula is the total renewable energy output of the wind and solar power modules, affected constraint, is the efficiency of the DC / AC converter module, is the electricity load, is the power generation capacity of the wind turbine of the wind-solar power generation module, The photovoltaic power generation power of the wind and solar power generation module, is the hydrogen quality of the hydrogen storage tank module, is the upper limit threshold of hydrogen quality, The power supply to the electrolyzer module, is the power of the DC / AC converter module; Construct the constraint condition set of the “abandon electricity after full hydrogen storage” mode, and the expressions are: In the formula is the hydrogen quality of the hydrogen storage tank module, is the upper limit threshold of hydrogen quality, is the power supply of the electrolyzer module, is the abandoned power; Construct the constraint condition set of the "hydrogen fuel cell power generation" mode, and the expressions are: ; In the formula is the power of the fuel cell module, is the output power of the electrolyzer module, is the power of the DC / AC converter module; Construct the constraint condition set of the "power supply shortage after insufficient hydrogen storage" mode, and the expressions are: In the formula is the no-load power, is the power of the DC / AC converter module.

[0043] Through the three-layer coupling of "operational characteristics-physical characteristics-economic goals", the model achieves: coordinated optimization of renewable energy-hydrogen energy storage-load to reduce power curtailment and power shortages; improved equipment safety and efficiency to extend the life cycle; flexible switching of multiple modes to enhance system resilience; and maximization of energy efficiency across the entire chain to reduce the cost of clean energy utilization.

[0044] Preferably, the step of constructing a multi-objective optimization model based on parameter minimization of the levelized energy cost, power shortage rate, and power abandonment rate further includes: Construct a levelized energy cost model, which is the average cost per unit load throughout the year; Construct a power shortage rate model. The power shortage rate model is the ratio of power shortage to total power load throughout the year. The expression is: In the formula is the power shortage rate, is the no-load power, is the electricity load; Construct a power curtailment rate model. The power curtailment rate model is the ratio of the amount of power curtailed to the total power generation of the wind and solar power generation modules throughout the year. The expression is: In the formula is the power abandonment rate, is the abandoned power, is the total renewable energy output of the wind and solar power modules; The objective function of the multi-objective optimization model is constructed based on the power shortage rate, power curtailment rate and levelized energy cost. The expression is: In the formula To levelize the cost of energy, 、 and They are the levelized energy cost weighting factor, the power shortage rate weighting factor and the power abandonment rate weighting factor respectively.

[0045] This multi-objective optimization model aims to achieve the following through the triple optimization of economy, reliability and absorptive capacity: Reduce unit energy consumption costs and improve project economics; ensure power supply to critical loads and reduce the risk of power outages; Maximize the consumption of renewable energy and reduce the waste of abandoned electricity; adapt to diverse needs through weight factors and support device construction.

[0046] Preferably, the step of constructing the levelized energy cost model further includes: Calculate the return on investment factor, the expression is: In the formula is the interest rate, is the service life of the module with index i in the device; The annualized investment cost of each module of the computing device is expressed as: In the formula is the actual investment cost of the module with index i in the device, is the return on investment factor of the module with index i in the device; The annualized investment cost of the calculation device is expressed as: In the formula is the number of modules in the device, is the annualized investment cost of the module with index i in the device; Calculate the annual equipment replacement cost using the expression: In the formula is the single replacement cost of the module with index i in the device, is the total useful life of the device; Calculate the total annualized cost, the expression is: In the formula 、 、 They are the annual investment cost, annual operation and maintenance cost, and annual equipment replacement cost of the device; The levelized energy cost is calculated based on the total annualized cost and electricity load. The expression is: In the formula To levelize the cost of energy, is the total annualized cost, For the electrical load.

[0047] The model outputs the levelized cost of energy (LCOE), combined with indicators such as the power shortage rate (LPSP) and the curtailment rate (CR), to achieve coordinated optimization of economy, reliability, and renewable energy consumption. This provides a quantitative basis for energy system planning, balances the contradiction between "reducing costs" and "improving performance," and promotes the efficient implementation of zero-carbon power systems. Through full cost coverage, time value conversion, modular analysis, and standardized output, the model aims to achieve the following: truly reflect the cost of the project throughout its life cycle to avoid underestimation or overestimation; identify cost-sensitive links to promote equipment selection and operation strategy improvements; standardize the LCOE indicator to support multi-scheme comparison and policy formulation; and link with indicators such as reliability and renewable energy consumption to support comprehensive energy system optimization.

[0048] Preferably, the step of inputting wind and solar power generation resource data and power load data and calculating the result of the configuration scheme of the device through the dung beetle optimization algorithm further includes: Construct a dung beetle rolling stage model to calculate position update data; Based on the position update data, a model of the dung beetle egg-laying stage is constructed. The model of the dung beetle egg-laying stage includes the dimension of the device configuration scheme and the position of the optimal solution. The expression is: In the formula is the location of the optimal solution for the device configuration scheme, 、 are random vectors of 1×D, where D is the dimension of the device configuration scheme, is the position of the m-th dung ball in the t-th iteration, 、 Specify the upper and lower boundaries of the region respectively and pass and calculate, 、 are the upper and lower boundaries of the device configuration scheme, respectively, and R is the calculation factor Calculated, is the maximum number of iterations; The optimal solution position of the configuration scheme of the calculation device for the model calculation of the dung beetle foraging stage is expressed as: In the formula is the position of the s-th dung beetle larva in the t-th iteration, is a normally distributed random number, is a random vector between [0,1], is the optimal solution position of the device configuration scheme, 、 are the upper and lower boundaries of the optimal solution position and are respectively passed through: and Calculated; The result of constructing the configuration scheme of the model calculation device for the dung beetle's stealing stage is expressed as: In the formula is the position of the bth dung beetle that steals in the tth iteration, is a fixed constant, is a 1×D normally distributed random vector.

[0049] This dung beetle optimization algorithm achieves efficient global optimization of wind and solar power system configurations by simulating a staged model of biological behavior. The expected results include: rapid convergence by focusing on high-quality solutions during the egg-laying and foraging phases; escaping local optima through perturbation mechanisms during the rolling and stealing phases; and achieving multi-objective coordination by balancing economic costs, power supply reliability, and curtailment rates. The optimization results can directly guide equipment selection and capacity configuration, improving the economic efficiency and sustainability of zero-carbon power systems and ensuring project implementation.

[0050] Preferably, the step of constructing a dung beetle rolling stage model to calculate position update data further includes: The dung beetle rolling stage model is divided into a rolling model and a turning model; The rolling model is used to explore the environment by rolling the dung ball without any obstacles in front. The expression is: Where t is the number of iterations, is the position of the rth dung beetle in the tth iteration, k is the deflection coefficient, and its value range is ; is a constant in the interval (0, 1), The rolling coefficient is 1 and -1, which represent no deviation and deviation from the original direction respectively. is the position with the worst objective function value among all dung beetles, is the change in light source intensity; The steering model is used to explore the environment with obstacles by rolling the dung ball, and its expression is: In the formula is the deflection angle, and its value range is .

[0051] The dung beetle rolling phase model combines global exploration of the rolling model and obstacle avoidance of the turning model, combined with phototaxis guidance and adaptive parameter adjustment, to achieve the following effects: Rapidly cover the feasible domain, avoid falling into local optimality and achieve efficient global search; refine the search in high-quality areas and improve the accuracy of the solution to achieve precise local development; balance indicators such as economy (LCOE) and reliability (LPSP / CR) to achieve multi-objective collaborative optimization; adapt to complex constraints and avoid obstacle interference to enhance the robustness of the device.

[0052] Second embodiment See also Figure 2 The second aspect of the present invention provides an electric-hydrogen coupling system configuration and energy management device, comprising: Power grid module; A DC / AC converter module is used to obtain AC power based on DC power and output AC power. The output end of the DC / AC converter module is connected to the power grid module via a cable. The wind and solar power generation module includes a wind power generation module and a photovoltaic power generation module, which are used to convert mechanical energy into electrical energy and obtain electrical energy through the photovoltaic effect, and output the electrical energy through cables. The wind and solar power generation module is connected to the input end of the DC / AC converter module, and the photovoltaic power generation module includes a plurality of photovoltaic power generation panels, which are connected in series. The electrolyzer module is used to produce hydrogen energy from excess wind and solar power generation output based on water electrolysis. The electrolyzer module is connected to the wind and solar power generation module via a cable; A hydrogen storage tank module is used to achieve energy balance across time by storing hydrogen. The electrolyzer module is connected to the hydrogen storage tank module via a pipeline. The fuel cell module is used to convert hydrogen into electricity and obtain electrical energy. The fuel cell module is connected to the hydrogen storage tank module, and the fuel cell module is connected to the input end of the DC / AC converter module. The fuel cell of the fuel cell module adopts a proton exchange membrane fuel cell.

[0053] The above combination realizes the closed loop of "renewable energy power generation-hydrogen energy storage-hydrogen energy power generation" of the device. Specifically, it solves the diurnal / seasonal fluctuation problem of wind and solar power generation through the time dimension, and realizes the spatiotemporal energy transfer through the grid connection in the spatial dimension. It is suitable for scenarios such as clean energy bases, microgrids, and off-grid power supply, and is economical, reliable, and sustainable.

[0054] In the description of this application, it should be noted that the terms "inner" and "outer" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, or the orientations or positional relationships in which the product of this application is typically placed when in use. These terms are intended solely to facilitate the description of this application and simplify the description, and are not intended to indicate or imply that the device or element referred to must have a specific orientation, be constructed, or operate in a specific orientation. Therefore, they should not be construed as limitations on this application. Furthermore, the terms "first" and "second" and the like are used solely for distinction and should not be construed as indicating or implying relative importance.

[0055] It should also be noted that, unless otherwise expressly specified or limited, the terms "disposed" and "connected" should be understood broadly. For example, they can refer to fixed connections, detachable connections, or integral connections; they can refer to direct connections, indirect connections through an intermediate medium, or internal connections between two components. Those skilled in the art will understand the specific meanings of these terms in this application based on the specific circumstances.

[0056] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the identification content specifically executed by the above-described system and device can refer to the corresponding process in the aforementioned method embodiment.

[0057] The embodiments of the present invention have been described in detail above with reference to the accompanying drawings, but the present invention is not limited to the above embodiments. Even if various changes are made to the present invention, if these changes fall within the scope of the claims of the present invention and their equivalents, they still fall within the scope of protection of the present invention.

Claims

1. A method for configuring and managing an electric-hydrogen coupling system, applied to a device for configuring and managing an electric-hydrogen coupling system, the device comprising a power grid module, a DC / AC converter module, a wind-solar power generation module, an electrolyzer module, a hydrogen storage tank module, and a fuel cell module, characterized in that: The steps include: Obtaining the device model based on the operating characteristics of each module in the device, wherein the device model includes technical parameters of each module in the device; Based on the mapping relationship between the power generation output and power load of the device and the scenario characteristics of the hydrogen storage capacity, an energy management strategy model with different operating modes is constructed. The operating modes include "hydrogen production and storage by water electrolysis", "power abandonment after full hydrogen storage", "hydrogen fuel cell power generation", and "power supply shortage after insufficient hydrogen storage". The energy management strategy model is used to constrain the technical parameters of each module of the device; A multi-objective optimization model is constructed based on the minimization of parameters such as levelized energy cost, power shortage rate, and power curtailment rate. The wind and solar power generation resource data and the power load data are input to obtain the configuration scheme result of the device through the dung beetle optimization algorithm. The configuration scheme result includes the technical parameter result of each module and the configuration information of the device.

2. The method for configuring an electric-hydrogen coupling system and managing energy according to claim 1, characterized in that: The step of obtaining the device model based on the operating characteristics of each module in the device further includes: A wind turbine model is constructed based on the characteristics and wind speed data of the wind-solar power generation module, and the expression is: In the formula It is the rated power of the wind turbine of the wind-solar power generation module when it works at the rated wind speed. is the cut-in wind speed, is the rated wind speed of the wind turbine of the wind-solar power generation module, To cut out the wind speed, The efficiency of the wind turbine of the wind and solar power generation module, The number of wind turbines in the wind and solar power generation module; A photovoltaic model is constructed based on the photovoltaic characteristics of the wind-solar power generation module and the temperature of the photovoltaic solar cells of the wind-solar power generation module. The expression is: In the formula It is the nominal power generation of the photovoltaic wind power generation module under the standard operating environment (25°C). The photovoltaic power generation efficiency of the wind and solar power generation module; Solar irradiance, is the temperature coefficient, The temperature of the photovoltaic solar cells of the wind power generation module, is the number of photovoltaic power generation units; Building models based on the characteristics of the electrolyzer module and the hydrogen storage tank module respectively; A fuel cell model is constructed based on the characteristics of the fuel cell module, and the expression is: In the formula is the output power of the electrolyzer module, is the input power of the electrolyzer module, is the energy conversion efficiency of the electrolyzer module; A DC / AC converter model is constructed based on the characteristics of the DC / AC converter module, and the expression is: In the formula is the power of the wind-solar power generation module passing through the DC / AC converter module, is the efficiency of the DC / AC converter module.

3. The method for configuring an electric-hydrogen coupling system and managing energy according to claim 2, characterized in that: The expression of the wind speed data is: Where, For height The wind speed of the wind turbine of the wind-solar power generation module at For height The wind speed of the wind turbine of the wind-solar power generation module measured by the anemometer at , is the friction coefficient; The expression for the temperature of the photovoltaic solar cell of the wind-solar power generation module is: In the formula is the ambient temperature, is the solar irradiance, The measured temperature of the photovoltaic module during the test.

4. The method for configuring an electric-hydrogen coupling system and managing energy according to claim 2, characterized in that: The step of constructing models based on the characteristics of the electrolyzer module and the hydrogen storage tank module further includes: The hydrogen production power is calculated based on the characteristics of the electrolyzer module, and the expression is: In the formula The power supply for the electrolyzer module, is the efficiency of the electrolyzer module; The stored chemical energy of the hydrogen storage tank module is calculated based on the hydrogen energy production power and the characteristics of the hydrogen storage tank module, and the expression is: In the formula is the stored chemical energy of the hydrogen storage tank module at time t-1, for said hydrogen energy production power, is the hydrogen energy power output from the hydrogen storage tank module to the fuel cell module at time t, is the storage efficiency of the hydrogen storage tank module, is the shortest scheduling time step of the device; The mass of hydrogen stored in the hydrogen storage tank module is calculated based on the stored chemical energy of the hydrogen storage tank module, and the expression is: In the formula is the mass of hydrogen stored in the hydrogen storage tank module, is the stored chemical energy of the hydrogen storage tank module at time t, is the higher calorific value of hydrogen; The constraint condition for the hydrogen storage capacity of the hydrogen storage tank module is constructed as follows: In the formula is the lower limit threshold of the hydrogen quality stored in the hydrogen storage tank, The upper threshold value of the hydrogen quality stored in the hydrogen storage tank.

5. The method for configuring an electric-hydrogen coupling system and managing energy according to claim 1, characterized in that: The step of constructing an energy management strategy model for different operation modes based on the mapping relationship between the power generation output and the power load of the device and the scenario characteristics of the hydrogen storage capacity further includes: Construct the constraint condition set of the "electrolysis of water to produce hydrogen and store" mode, and the expressions are: In the formula is the total renewable energy output of the wind and solar power generation module, affected constraint, is the efficiency of the DC / AC converter module, is the electricity load, is the power generation power of the wind turbine of the wind-solar power generation module, is the photovoltaic power generation power of the wind-solar power generation module, is the hydrogen mass of the hydrogen storage tank module, is the upper limit threshold of hydrogen quality, The power supply to the electrolyzer module, is the power of the DC / AC converter module; Construct the constraint condition set of the "abandon electricity after hydrogen storage is full" mode, and the expressions are: In the formula is the hydrogen mass of the hydrogen storage tank module, is the upper limit threshold of hydrogen quality, is the power supply of the electrolyzer module, is the abandoned power; Construct the constraint condition set of the "hydrogen fuel cell power generation" mode, and the expressions are: ； In the formula is the power of the fuel cell module, is the output power of the electrolyzer module, is the power of the DC / AC converter module; Construct the constraint condition set for the "power supply shortage after insufficient hydrogen storage" mode, and the expressions are: In the formula is the no-load power, is the power of the DC / AC converter module.

6. The method for configuring an electric-hydrogen coupling system and managing energy according to claim 1, characterized in that: The steps of constructing a multi-objective optimization model based on parameter minimization of the levelized cost of energy, power shortage rate, and power curtailment rate further include: Constructing a levelized energy cost model, wherein the levelized energy cost model is the average cost per unit load throughout the year; A power shortage rate model is constructed. The power shortage rate model is the ratio of power shortage to total power load throughout the year, and the expression is: In the formula is the power shortage rate, is the no-load power, is the electricity load; Construct a power curtailment rate model, which is the ratio of the amount of power curtailment to the total power generation of the wind and solar power generation modules throughout the year, and is expressed as: In the formula is the power abandonment rate, is the abandoned power, is the total renewable energy output of the wind and solar power generation module; The objective function of the multi-objective optimization model is constructed based on the power shortage rate, the power abandonment rate and the levelized energy cost, and the expression is: In the formula To levelize the cost of energy, 、 and They are the levelized energy cost weighting factor, the power shortage rate weighting factor and the power abandonment rate weighting factor respectively.

7. The method for configuring an electric-hydrogen coupling system and managing energy according to claim 6, characterized in that: The steps of constructing the levelized cost of energy model further include: Calculate the return on investment factor, the expression is: In the formula is the interest rate, is the service life of the module with index i in the device; The annualized investment cost of each module of the device is calculated as follows: In the formula is the actual investment cost of the module indexed by i in the device, is the return on investment factor of the module with index i in the device; The annualized investment cost of the device is calculated as follows: In the formula is the number of modules in the device, is the annualized investment cost of the module with index i in the device; Calculate the annual equipment replacement cost using the expression: In the formula is the single replacement cost of the corresponding module with index i in the device, is the total useful life of the device; Calculate the total annualized cost, the expression is: In the formula 、 、 are the annualized investment cost, annual operation and maintenance cost, and annual equipment replacement cost of the device respectively; The levelized energy cost is calculated based on the total annualized cost and the electricity load, and the expression is: In the formula To levelize the cost of energy, is the total annualized cost, is the electrical load.

8. The method for configuring an electric-hydrogen coupling system and managing energy according to claim 1, characterized in that: The step of inputting wind and solar power generation resource data and power load data and calculating the result of the configuration scheme of the device through the dung beetle optimization algorithm further includes: Construct a dung beetle rolling stage model to calculate position update data; A model of the dung beetle egg-laying stage is constructed based on the position update data. The model of the dung beetle egg-laying stage includes the dimension of the configuration scheme of the device and the position of the optimal solution, and the expression is: In the formula The location of the optimal solution for the configuration of the device, 、 are random vectors of 1×D, where D is the dimension of the configuration scheme of the device, is the position of the m-th dung ball in the t-th iteration, 、 Specify the upper and lower boundaries of the region respectively and pass and calculate, 、 are the upper and lower boundaries of the configuration scheme of the device, respectively, and R is the calculation factor Calculated, is the maximum number of iterations; A model of the dung beetle's foraging stage is constructed to calculate the optimal solution position of the device configuration scheme, and the expression is: In the formula is the position of the s-th dung beetle larva in the t-th iteration, is a normally distributed random number, is a random vector between [0,1], is the optimal solution position of the configuration scheme of the device, 、 are the upper and lower boundaries of the optimal solution position and are respectively passed through: and Calculated; The model of the dung beetle's stealing stage is constructed to calculate the result of the configuration scheme of the device, and the expression is: In the formula is the position of the bth dung beetle that steals in the tth iteration, is a fixed constant, is a 1×D normally distributed random vector.

9. The method for configuring an electric-hydrogen coupling system and managing energy according to claim 8, characterized in that: The step of constructing a dung beetle rolling phase model to calculate position update data further includes: The dung beetle rolling stage model is divided into a rolling model and a turning model; The rolling model is used to explore the environment by rolling the dung ball without any obstacles in front, and the expression is: Where t is the number of iterations, is the position of the rth dung beetle in the tth iteration, k is the deflection coefficient, and its value range is ; is a constant in the interval (0, 1), The rolling coefficient is 1 and -1, which represent no deviation and deviation from the original direction respectively. is the position with the worst objective function value among all dung beetles, is the change in light source intensity; The steering model is used to explore the environment with obstacles by rolling the dung ball, and the expression is: In the formula is the deflection angle, and its value range is .

10. An electric-hydrogen coupling system configuration and energy management device, characterized in that: include: Power grid module; a DC / AC converter module, configured to obtain AC power based on DC power and output the AC power, wherein an output end of the DC / AC converter module is connected to the power grid module via a cable; A wind-solar power generation module, comprising a wind power generation module and a photovoltaic power generation module, for obtaining electrical energy based on the conversion of mechanical energy into electrical energy and the photovoltaic effect, respectively, and outputting the electrical energy through a cable; the wind-solar power generation module is connected to the input end of the DC / AC converter module, and the photovoltaic power generation module comprises a plurality of photovoltaic power generation panels, which are connected in series; An electrolyzer module, used to produce hydrogen energy from excess wind and solar power generation output based on water electrolysis, the electrolyzer module being connected to the wind and solar power generation module via a cable; A hydrogen storage tank module, used to achieve energy balance across time by storing hydrogen, the electrolyzer module and the hydrogen storage tank module being connected via a pipeline; A fuel cell module is used to convert hydrogen into electricity and obtain electrical energy. The fuel cell module is connected to the hydrogen storage tank module, and the fuel cell module is connected to the input end of the DC / AC converter module. The fuel cell of the fuel cell module adopts a proton exchange membrane fuel cell.

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