A method and device for optimizing configuration of a wind-solar-hydrogen integrated energy system and a medium

Abstract

The present application relates to the technical field of integrated energy system, and discloses a kind of wind light hydrogen storage integrated energy system optimization configuration method, device and medium, the present application is according to preset configuration capacity, fully considers physical system and external policy limit condition, can simulate the off-grid or grid-connected operation mode of wind light hydrogen storage integrated energy system, simultaneously, equipment attenuation factor can be considered comprehensively, and then obtain the system operation data of time or every fifteen minutes in whole operating life cycle.Further, with the lowest as optimization target of full life cycle LCOH flat hydrogen production cost, the configuration of wind light hydrogen storage integrated energy system is optimized in combination with operation simulation result, and can be used to guide the optimal economic configuration of actual wind light hydrogen storage integrated energy project.Therefore, by implementing the present application, the accuracy and reliability of optimization configuration result are improved by combining simulation result and optimization configuration.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of integrated energy systems, in particular to an optimization configuration method and device of a wind-solar-hydrogen integrated energy system and a medium. BACKGROUND

[0002] As an integrated energy system, the wind-solar-hydrogen system helps to solve the intermittency and instability of renewable energy generation by integrating wind energy, solar energy, energy storage and hydrogen energy technology, and enhances the stability and reliability of energy supply.

[0003] The wind-solar-hydrogen integrated energy system generally includes wind power generation, photovoltaic power generation, electrochemical energy storage, water electrolysis hydrogen production device and hydrogen storage, etc. Due to the volatility and uncertainty of wind power and photovoltaic output, the electrochemical energy storage, water electrolysis hydrogen production and hydrogen storage subsystems need to be operated in coordination to respond to changes in new energy output in real time, and reasonable configuration of the scale of each subsystem is a necessary prerequisite to ensure the efficiency and economy of the system, which involves complex system dynamic simulation, dispatching strategy optimization and cost-benefit analysis, etc.

[0004] The wind-solar-hydrogen operation involves factors such as light, wind resources, electricity demand, hydrogen demand, market information, etc. in the region, as well as the calculation of the operating state parameters of the multiple internal subsystems. The existing simulation optimization configuration method often cannot fully consider the dynamic characteristics and complexity of multi-energy complementarity of the wind-solar-hydrogen system, and the adaptability and accuracy of the optimization algorithm need to be improved. The economic evaluation of the configuration is often based on the lowest total cost, but fails to consider the lowest hydrogen production or electricity cost in the whole operation life cycle, and the evaluation method of the overall economy of the system is not perfect. SUMMARY

[0005] Therefore, the present application provides an optimization configuration method, device and medium of a wind-solar-hydrogen integrated energy system to solve the problems that the existing simulation optimization configuration method often cannot fully consider the dynamic characteristics and complexity of multi-energy complementarity of the wind-solar-hydrogen system, and fails to consider the lowest hydrogen production or electricity cost in the whole operation life cycle, and the evaluation method of the overall economy of the system is not perfect.

[0006] In a first aspect, the present application provides an optimization configuration method of a wind-solar-hydrogen integrated energy system, which comprises:

[0007] The target wind power simulation power and the target photovoltaic power simulation power are acquired; based on a preset configuration capacity, the operation of the wind-solar-hydrogen comprehensive energy system is simulated by using the target wind power simulation power and the target photovoltaic power simulation power, and an operation simulation result of the wind-solar-hydrogen comprehensive energy system is obtained; taking the minimum LCOH (Levelized Cost Of Hydrogen) of the wind-solar-hydrogen comprehensive energy system in a full life cycle as an optimization target, under the constraint of a preset optimization configuration constraint condition set, the operation of the wind-solar-hydrogen comprehensive energy system is repeatedly simulated based on an LCOH change trend optimization algorithm, and the configuration of the wind-solar-hydrogen comprehensive energy system is iteratively optimized by using the operation simulation result until an optimization configuration result of the wind-solar-hydrogen comprehensive energy system is obtained, and the preset optimization configuration constraint condition set comprises a wind power installed capacity constraint condition, a photovoltaic installed capacity constraint condition, an energy storage installed capacity constraint condition, an electrolyzer installed capacity constraint condition, a hydrogen production constraint condition, and an electricity constraint condition.

[0008] The optimization configuration method of the wind-solar-hydrogen comprehensive energy system provided by the application can simulate different operation conditions of the wind-solar-hydrogen comprehensive energy system according to the preset configuration capacity, can comprehensively consider the equipment attenuation factor, and can further obtain system operation data at each time or every fifteen minutes in a whole operation life cycle. Further, the configuration of the wind-solar-hydrogen comprehensive energy system is optimized in combination with the operation simulation result, taking the minimum LCOH of the wind-solar-hydrogen comprehensive energy system in the full life cycle as the optimization target, and the physical system and external policy limitation conditions are fully considered, and the optimization configuration result can be used to guide the optimal economic configuration of an actual wind-solar-hydrogen comprehensive energy project. Therefore, by implementing the application, the accuracy and reliability of the optimization configuration result are improved by combining the simulation result and the optimization configuration.

[0009] In an optional implementation, the target wind power simulation power and the target photovoltaic power simulation power are acquired by:

[0010] The wind resource characteristics and the light resource characteristics are acquired; the wind resource characteristics are processed by a wind power simulation model to obtain the target wind power simulation power; and the light resource characteristics are processed by a photovoltaic power simulation model to obtain the target photovoltaic power simulation power.

[0011] The optimization configuration method of the wind-solar-hydrogen comprehensive energy system provided by the application can obtain the target wind power simulation power and the target photovoltaic power simulation power of the wind-solar-hydrogen comprehensive energy system by using the wind power simulation model and the photovoltaic power simulation model, and provides data support for subsequent operation simulation of the wind-solar-hydrogen comprehensive energy system.

[0012] In an optional implementation, based on the preset configuration capacity, the target wind power generation simulation power and the target photovoltaic power generation simulation power are used to simulate the operation of the wind-solar-hydrogen comprehensive energy system to obtain an operation simulation result of the wind-solar-hydrogen comprehensive energy system, including:

[0013] The target operation strategy and a set of operation simulation constraint conditions of the wind-solar-hydrogen comprehensive energy system are obtained, the target operation strategy being one of an off-grid operation strategy and a grid-connected operation strategy, and the set of operation simulation constraint conditions including a power balance constraint condition, a power constraint condition of a grid connection cable, an energy storage subsystem operation constraint condition, a water electrolysis hydrogen production subsystem constraint condition, and a hydrogen storage subsystem operation constraint condition; based on the preset configuration capacity, the target wind power generation simulation power and the target photovoltaic power generation simulation power, the target operation strategy is used to determine the operation simulation result under the constraint of the set of operation simulation constraint conditions.

[0014] The wind-solar-hydrogen comprehensive energy system optimization configuration method provided by the application can simulate the operation of the wind-solar-hydrogen comprehensive energy system in off-grid mode and grid-connected mode according to different off-grid operation strategies and grid-connected operation strategies under the constraint of the wind-solar-hydrogen comprehensive energy system, thereby providing support for subsequent optimization configuration of the wind-solar-hydrogen comprehensive energy system.

[0015] In an optional implementation, the lowest full life cycle LCOH hydrogen production cost of the wind-solar-hydrogen comprehensive energy system is taken as an optimization target, and based on an LCOH change trend optimization algorithm, the operation of the wind-solar-hydrogen comprehensive energy system is repeatedly simulated under the constraint of a preset optimization configuration constraint condition set, and the configuration of the wind-solar-hydrogen comprehensive energy system is iteratively optimized by using the operation simulation result until an optimization configuration result of the wind-solar-hydrogen comprehensive energy system is obtained, including:

[0016] Based on the preset optimization configuration constraint condition set and the operation simulation result, the full life cycle LCOH hydrogen production cost of the wind-solar-hydrogen comprehensive energy system is determined, it is judged whether the full life cycle LCOH hydrogen production cost reaches the optimization target, when the full life cycle LCOH hydrogen production cost does not reach the optimization target, the preset configuration capacity is adjusted by using the LCOH change trend optimization algorithm, and the step of obtaining the operation simulation result is returned to be repeated and iterated until the full life cycle LCOH hydrogen production cost is the lowest, and the optimization configuration result of the wind-solar-hydrogen comprehensive energy system is obtained.

[0017] The wind-solar-hydrogen comprehensive energy system optimization configuration method provided by the application can determine a plurality of configuration parameters of the wind-solar-hydrogen comprehensive energy system under the current initial configuration capacity in combination with the operation simulation result, and then the full life cycle LCOH normalized hydrogen production cost of the wind-solar-hydrogen comprehensive energy system under the current configuration can be calculated according to the plurality of configuration parameters, thereby providing support for subsequent optimization configuration.

[0018] In an optional implementation, the full life cycle LCOH normalized hydrogen production cost of the wind-solar-hydrogen comprehensive energy system is determined based on the preset optimization configuration constraint condition set and the operation simulation result, and the method comprises the following steps of:

[0019] The wind-solar-hydrogen comprehensive energy system is configured based on the preset optimization configuration constraint condition set and the operation simulation result, and a configuration parameter set is obtained, the configuration parameter set comprising a hydrogen production parameter, a power grid power taking parameter, a surplus power grid power feeding parameter and a power abandonment parameter; and the full life cycle LCOH normalized hydrogen production cost is calculated based on the configuration parameter set.

[0020] The wind-solar-hydrogen comprehensive energy system optimization configuration method provided by the application can determine a plurality of configuration parameters of the wind-solar-hydrogen comprehensive energy system under the current initial configuration capacity in combination with the operation simulation result, and then the full life cycle LCOH normalized hydrogen production cost of the wind-solar-hydrogen comprehensive energy system under the current configuration can be calculated according to the plurality of configuration parameters, thereby providing support for subsequent optimization configuration.

[0021] In an optional implementation, after it is judged whether the full life cycle LCOH normalized hydrogen production cost reaches the optimization target, the method further comprises the following steps of:

[0022] When the full life cycle LCOH normalized hydrogen production cost reaches the optimization target, the optimization configuration result of the wind-solar-hydrogen comprehensive energy system is determined based on the configuration parameter set.

[0023] In the second aspect, the application provides a wind-solar-hydrogen comprehensive energy system optimization configuration device, which comprises the following:

[0024] The system comprises three modules: an acquisition module for acquiring target simulated wind power and target simulated photovoltaic power; a simulation module for simulating the operation of a wind-solar-hydrogen storage integrated energy system based on a preset configuration capacity and using the target simulated wind power and target simulated photovoltaic power, to obtain the simulation results; and an optimization module for repeatedly simulating the operation of the wind-solar-hydrogen storage integrated energy system with the goal of minimizing the levelized cost of hydrogen production (LCOH) throughout the system's lifecycle, under the constraints of a preset set of optimization configuration constraints, using an LCOH trend optimization algorithm. The module iteratively optimizes the configuration of the wind-solar-hydrogen storage integrated energy system using the simulation results until the optimized configuration is obtained. The preset set of optimization configuration constraints includes constraints on wind power installed capacity, photovoltaic installed capacity, energy storage installed capacity, electrolyzer installed capacity, hydrogen production output, and electricity generation.

[0025] Thirdly, the present invention provides a computer device, comprising: a memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the computer instructions to perform the optimized configuration method of the wind-solar-storage-hydrogen integrated energy system described in the first aspect or any corresponding embodiment thereof.

[0026] Fourthly, the present invention provides a computer-readable storage medium storing computer instructions for causing a computer to execute the optimized configuration method of the wind-solar-storage-hydrogen integrated energy system described in the first aspect or any corresponding embodiment thereof.

[0027] Fifthly, the present invention provides a computer program product, including computer instructions, which are used to cause a computer to execute the optimized configuration method of the wind-solar-storage-hydrogen integrated energy system described in the first aspect or any corresponding embodiment thereof. Attached Figure Description

[0028] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0029] Figure 1 This is a flowchart illustrating the optimized configuration method of a wind-solar-hydrogen storage integrated energy system according to an embodiment of the present invention.

[0030] Figure 2This is a flowchart illustrating another method for optimizing the configuration of a wind-solar-hydrogen storage integrated energy system according to an embodiment of the present invention.

[0031] Figure 3 This is a schematic diagram of the grid-connected operation strategy according to an embodiment of the present invention;

[0032] Figure 4 This is a schematic diagram of an off-grid operation strategy according to an embodiment of the present invention;

[0033] Figure 5 This is a flowchart illustrating an optimized configuration method for a wind-solar-hydrogen storage integrated energy system according to an embodiment of the present invention.

[0034] Figure 6 This is a structural block diagram of an optimized configuration device for a wind-solar-hydrogen storage integrated energy system according to an embodiment of the present invention;

[0035] Figure 7 This is a schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. Detailed Implementation

[0036] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0037] This invention provides an optimized configuration method for a wind-solar-hydrogen storage integrated energy system. By combining simulation results with optimization methods, the accuracy and reliability of the optimized configuration results are improved.

[0038] According to an embodiment of the present invention, an embodiment of an optimized configuration method for a wind-solar-storage-hydrogen integrated energy system is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0039] This embodiment provides an optimized configuration method for a wind-solar-hydrogen storage integrated energy system, which can be used in electronic devices such as computers, mobile phones, and tablets. Figure 1 This is a flowchart of an optimized configuration method for a wind-solar-hydrogen storage integrated energy system according to an embodiment of the present invention, such as... Figure 1 As shown, the process includes the following steps:

[0040] Step S101: Obtain the target wind power generation simulation power and the target photovoltaic power generation simulation power.

[0041] Specifically, the target wind power generation simulation power and the target photovoltaic power generation simulation power represent the annual node-by-node wind power generation simulation power and annual node-by-node photovoltaic power generation simulation power of the integrated wind-solar-hydrogen storage energy system under a standard 100MW installed capacity, respectively.

[0042] Among them, each node represents each hour or each 15-minute interval.

[0043] Step S102: Based on the preset configuration capacity, the operation of the wind-solar-hydrogen storage integrated energy system is simulated using the target wind power generation simulation power and the target photovoltaic power generation simulation power to obtain the operation simulation results of the wind-solar-hydrogen storage integrated energy system.

[0044] Specifically, the preset configuration capacity refers to the pre-set configuration capacity of wind power, photovoltaic, energy storage, hydrogen production, and hydrogen storage within the integrated wind-solar-hydrogen energy system.

[0045] Furthermore, the target simulated wind power generation and target simulated photovoltaic power generation are input into the wind-solar-hydrogen storage integrated energy system. Based on the preset configuration capacity, the current operation of the wind-solar-hydrogen storage integrated energy system is simulated to obtain the node-by-node operation simulation data of the wind-solar-hydrogen storage integrated energy system, i.e., the operation simulation results.

[0046] Step S103: Taking the minimum levelized cost of hydrogen production (LCOH) throughout the entire life cycle of the wind-solar-hydrogen storage integrated energy system as the optimization objective, under the constraints of the preset optimization configuration constraint set, the operation of the wind-solar-hydrogen storage integrated energy system is repeatedly simulated based on the LCOH change trend optimization algorithm. The configuration of the wind-solar-hydrogen storage integrated energy system is iteratively optimized using the simulation results until the optimized configuration result of the wind-solar-hydrogen storage integrated energy system is obtained.

[0047] The integrated wind, solar, and hydrogen energy system can include multiple subsystems such as wind power generation system, photovoltaic power generation system, electrochemical energy storage and water electrolysis hydrogen production device, and hydrogen storage.

[0048] Therefore, the preset set of optimization configuration constraints can include: wind power installed capacity constraints, photovoltaic installed capacity constraints, energy storage installed capacity constraints, electrolyzer installed capacity constraints, hydrogen production constraints, and electricity constraints, etc.

[0049] Specifically, the photovoltaic installed capacity constraint is shown in the following relationship (1):

[0050] H pv，min ≤H pv ≤H pv，max (1)

[0051] In the formula: H pv,min Indicates the minimum configurable photovoltaic installation capacity; H pv Indicates photovoltaic installed capacity; H pv，max This indicates the maximum configurable photovoltaic installation capacity.

[0052] The constraints on wind power installed capacity are shown in the following equation (2):

[0053]

[0054] In the formula: A w Indicates the installed capacity of a single wind turbine; k w Indicates the number of wind turbines installed; H w,min Indicates the minimum configurable wind power capacity; H w,max This indicates the maximum configurable wind power capacity.

[0055] The energy storage installed capacity constraint is shown in the following relationship (3):

[0056] H bat，min ≤H bat ≤H bat,max (3)

[0057] In the formula: H bat,min Indicates the minimum configurable energy storage system capacity; H bat Indicates the installed capacity of the energy storage system; H bat,max This indicates the maximum configurable installed capacity of the energy storage system.

[0058] The constraint on the installed capacity of the electrolytic cell is shown in the following relationship (4):

[0059]

[0060] In the formula: A elec Indicates the installed capacity of a single electrolytic cell; k elec Indicates the number of electrolytic cells installed; H elec,min Indicates the minimum configurable electrolytic cell capacity; H elec,max This indicates the maximum configurable installed capacity of the electrolytic cell.

[0061] The hydrogen production constraints are shown in the following equation (5):

[0062]

[0063] In the formula: Q ete，k，t The hydrogen production of the k-th electrolyzer during time period t can be obtained through the simulation process in step S102; T represents the configuration calculation scheduling period; Y H2,min Y represents the minimum hydrogen production within the configuration calculation scheduling cycle; H2,maxIndicates the maximum hydrogen production within the configuration calculation scheduling cycle; N ete Indicates the number of electrolytic cells.

[0064] The power constraint is:

[0065] A) Under off-grid mode, the proportion of hydrogen production to the total power generation of the new energy system is constrained as shown in the following equation (6):

[0066]

[0067] In the formula: P pv，t P represents the amount of electricity generated by a photovoltaic power generation system during time period t; w，t P represents the amount of electricity generated by the wind power generation system during time period t; ete，t α represents the electrical power consumed by the electrolytic hydrogen production subsystem during time period t; a,min and α a,max These represent the minimum and maximum ratios of electricity consumption for hydrogen production to the system's renewable energy generation in off-grid mode, respectively.

[0068] B) Under the grid-connected mode, the ratio of electricity purchased from the grid to the system's new energy power generation is constrained as shown in the following equation (7):

[0069]

[0070] In the formula: P grid,buy,t α represents the power purchased from the grid at time t; b,min and α b,max These represent the minimum and maximum proportions of electricity drawn from the grid in the renewable energy system's power generation, respectively, under grid-connected mode.

[0071] C) Under grid-connected mode, the ratio of the system's power supply to the grid to the system's renewable energy generation is constrained as shown in the following equation (8):

[0072]

[0073] In the formula: P grid,sell，t α represents the power supplied by the system to the grid at time t; c,min and α c，max In grid-connected mode, the system supplies electricity to the grid at the minimum and maximum proportions of the system's new energy power generation.

[0074] Furthermore, the optimization algorithm for LCOH change trend can be a genetic algorithm, a particle swarm optimization algorithm, a simulated annealing algorithm, a differential evolution algorithm, etc.

[0075] Specifically, under the constraints of the aforementioned preset optimization configuration constraint set, and combined with the simulation results, the configuration of the wind-solar-hydrogen storage integrated energy system is iteratively optimized using the LCOH change trend optimization algorithm until the optimization objective is achieved, i.e., the optimization stops when the levelized cost of hydrogen production (LCOH) over the entire life cycle of the wind-solar-hydrogen storage integrated energy system is at its lowest, and the optimized configuration result is obtained. By combining the simulation results with the optimized configuration, the accuracy and reliability of the optimized configuration result are improved.

[0076] The optimized configuration method for a wind-solar-hydrogen storage integrated energy system provided in this embodiment can simulate different operating conditions of the system based on a preset configuration capacity. It can also comprehensively consider equipment degradation factors, thereby obtaining hourly or 15-minute system operation data throughout the entire operating lifecycle. Furthermore, with the lowest levelized cost of hydrogen production (LCOE) over the entire lifecycle as the optimization objective, the configuration of the wind-solar-hydrogen storage integrated energy system is optimized by combining the simulation results. This fully considers the physical system and external policy constraints, and can be used to guide the optimal economic configuration of actual wind-solar-hydrogen storage integrated energy projects. Therefore, by implementing this invention, combining simulation results with optimized configuration improves the accuracy and reliability of the optimized configuration results.

[0077] This embodiment provides an optimized configuration method for a wind-solar-hydrogen storage integrated energy system, which can be used in electronic devices such as computers, mobile phones, and tablets. Figure 2 This is a flowchart of an optimized configuration method for a wind-solar-hydrogen storage integrated energy system according to an embodiment of the present invention, such as... Figure 2 As shown, the process includes the following steps:

[0078] Step S201: Obtain the target wind power generation simulation power and the target photovoltaic power generation simulation power.

[0079] Specifically, step S201 includes:

[0080] Step S2011: Obtain wind resource characteristics and solar resource characteristics.

[0081] Step S2012: The wind resource characteristics are processed by the wind power generation simulation model to obtain the target wind power generation simulation power.

[0082] Specifically, the simulation model for wind power generation is shown in the following equation (9):

[0083]

[0084] In the formula: P w，k，t N represents the power generation of the k-th wind turbine in the wind power generation system during time period t; w Indicates the number of wind turbines; f v，t Indicates wind resource characteristics; Pw，k (v) represents the output power of the kth wind turbine at wind speed v, which satisfies the following relationship (10):

[0085]

[0086] In the formula: v k,c v represents the cut-in rate of the power of the k-th wind turbine; k,f v represents the cut-off rate of the power of the k-th wind turbine; k，1 and v k，2 This represents the intermediate wind speed, used to adjust the power generation curve of the k-th wind turbine.

[0087] Step S2013: The characteristics of light resources are processed by the photovoltaic power generation simulation model to obtain the target photovoltaic power generation simulation power.

[0088] Specifically, the photovoltaic power generation simulation model is shown in the following relationship (11):

[0089]

[0090] In the formula: P pv，k,t v k,c N represents the power generation of the k-th photovoltaic cell in a photovoltaic power generation system during time period t; pv Indicates the number of photovoltaic zones; n k,pv V represents the number of PV modules in the k-th photovoltaic area; k，pv，t and i k,pv，t Let represent the voltage and current of the PV module in the k-th photovoltaic area during time period t, respectively, which satisfy the following relationships (12) to (19):

[0091]

[0092] ΔV k，t =V k,PV,t -V k,mp (16)

[0093]

[0094] ΔT k，t =T k，cell，t -T st (18)

[0095] T k，cell,t =T A +0.02I k,t (19)

[0096] In the formula: i k,Sc V represents the short-circuit current of the k-th photovoltaic cell. k，mp V represents the maximum power voltage of the k-th photovoltaic cell. k，ocIndicates the open-circuit voltage of the k-th photovoltaic cell; i k,mp α represents the maximum power current of the k-th photovoltaic cell. k,0 This represents the voltage and temperature influence parameter of the k-th photovoltaic cell; β k,o I represents the voltage and temperature influence parameters of the k-th photovoltaic cell area; k，t I represents the total solar irradiance of the vertical modules in the k-th photovoltaic area during time period t, i.e., the light resource characteristics; st This indicates a standard irradiance of 1000 W / m²; T A This indicates room temperature, standard room temperature T. st =25℃.

[0097] Step S202: Based on the preset configuration capacity, the operation of the wind-solar-hydrogen storage integrated energy system is simulated using the target wind power generation simulation power and the target photovoltaic power generation simulation power to obtain the operation simulation results of the wind-solar-hydrogen storage integrated energy system.

[0098] Specifically, step S202 includes:

[0099] Step S2021: Obtain the target operation strategy and operation simulation constraint set of the integrated wind, solar and hydrogen storage energy system.

[0100] The target operation strategy can be as follows: Figure 3 The off-network operation strategy shown and such Figure 4 One of the grid-connected operation strategies shown.

[0101] Furthermore, the set of operational simulation constraints may include: power balance constraints, power constraints of power grid connection cables, operational constraints of the energy storage subsystem, constraints of the water electrolysis hydrogen production subsystem, and operational constraints of the hydrogen storage subsystem.

[0102] Specifically, the power balance constraint is shown in the following equation (20):

[0103] P elec，t +p load，t +p ess,t =p pv，t +p w,t +p grid,t (20)

[0104] In the formula: P elec，t p represents the operating power of the electrolyzer during time period t; pv，t p represents the photovoltaic power output during time period t; w,t p represents the wind power supply during time period t; grid,t p represents the grid power during time period t; ess,t Indicates the energy storage power during time period t; ploa d ,t represents the power consumption of other equipment in the system during time period t;

[0105] When p grid,t >0 indicates that the wind-solar-hydrogen storage integrated energy system draws electricity from the grid, p grid,t <0 indicates that the integrated wind, solar, and hydrogen storage energy system supplies electricity to the grid; p grid,t == 0 indicates that the integrated wind, solar, and hydrogen storage energy system is an off-grid system;

[0106] when pess t > 0 indicates that the energy storage subsystem is in a charging state; pess t < 0 indicates that the energy storage subsystem is in a discharge state.

[0107] The power constraint condition for the power grid connection cable is shown in the following equation (21):

[0108] -P grid,max ≤P grid,t ≤P grid,max (twenty one)

[0109] In the formula: P grid,t Power limit value for contact cables between the wind-solar-hydrogen storage integrated energy system and the power distribution network; P grid,max This indicates the power limit value of the contact cable between the wind, solar, and hydrogen storage integrated energy system and the power distribution network.

[0110] The operating constraints of the energy storage subsystem are shown in the following equations (22) to (26):

[0111] P ess,dis,min ≤S dis,t P ess,dis,t ≤P ess,dis,max (twenty two)

[0112] P ess,ch,min ≤S ch,t P ess,ch,t ≤P ess,ch,max (twenty three)

[0113] 0≤S dis,t +S ch,t ≤1 (24)

[0114]

[0115] E ess,min ≤E ess,t ≤E ess,max (26)

[0116] In the formula: P ess,dis,min P represents the minimum discharge power of the energy storage device. ess,dis,max P represents the maximum discharge power of the energy storage device. ess,dis，t P represents the discharge power of the energy storage device during time period t; ess，ch,min P represents the minimum charging power of the energy storage device.ess,ch,max P represents the maximum charging power of the energy storage device. ess,ch,t S represents the charging power of the energy storage device during time period t; dis，t A binary variable representing the discharge state of an energy storage device; S ch,t A binary variable representing the charging state of an energy storage device; α ch Indicates the charging efficiency of energy storage devices; α dis E represents the discharge efficiency of energy storage devices. ess,t E represents the energy value of the energy storage device during time period t; ess,t-1 E represents the energy value of the energy storage device during time period t-1. ess,min E represents the minimum energy value of the energy storage device within the scheduling cycle. ess,max This indicates the maximum energy value of the energy storage device within the scheduling cycle.

[0117] The constraints of the water electrolysis hydrogen production subsystem are shown in the following equations (27) to (29):

[0118]

[0119] |P ete,k,t -P ete,k,t-1 |≤ΔP ete,max (29)

[0120] In the formula: P ete，k，t Q represents the power consumption of the k-th electrolyzer in the electrolytic hydrogen production subsystem during time period t; ete，k，t NA represents the hydrogen yield of the k-th electrolyzer in the electrolytic hydrogen production subsystem during time period t; NA represents Avogadro's constant 6.02 × 10⁻⁶. 23 V M C0 represents the molar volume of a gas at room temperature and pressure; C0 represents the number of electrons per coulomb; V N Indicates the rated output voltage; ε ete Indicates the conversion efficiency of the electrolyzer; α min Indicates the minimum operable power ratio of a single electrolytic cell; α max Indicates the maximum operating power ratio of a single electrolytic cell; A ete，k，t ΔP represents the rated operating power of the k-th electrolytic cell during time period t; ete，max This represents the maximum variable power of the electrolytic cell within a unit time t.

[0121] The operating constraints of the hydrogen storage subsystem are shown in the following equations (30) to (31):

[0122] 0≤VH t ≤V max (30)

[0123] VH t =VH t-1 +Qete，t -Q out，t (31)

[0124] Where: VH t V represents the amount of hydrogen stored in the hydrogen storage subsystem at time t; max This indicates the maximum hydrogen storage capacity of the hydrogen storage subsystem; Q represents the amount of hydrogen produced by the electrolysis hydrogen production subsystem during time period t; out，t This represents the amount of hydrogen that the hydrogen storage subsystem can export at time t.

[0125] Step S2022: Based on the preset configuration capacity, target wind power generation simulation power, and target photovoltaic power generation simulation power, the simulation results are determined using the target operation strategy under the constraints of the simulation constraint set.

[0126] Specifically, the target simulated wind power generation power and the target simulated photovoltaic power generation power are input into the wind-solar-hydrogen storage integrated energy system.

[0127] Furthermore, under the constraints of the simulation set, based on the preset configuration capacity, the operation data of the wind-solar-hydrogen storage integrated energy system at each node corresponding to the operation of energy storage, hydrogen production, and hydrogen storage under the target operation strategy are obtained, thus obtaining the operation simulation results.

[0128] Step S203: Taking the lowest levelized cost of hydrogen production (LCOH) over the entire lifecycle of the wind-solar-hydrogen storage integrated energy system as the optimization objective, and under the constraints of a preset set of optimization configuration constraints, the operation of the wind-solar-hydrogen storage integrated energy system is repeatedly simulated based on the LCOH change trend optimization algorithm. The simulation results are then used to iteratively optimize the configuration of the wind-solar-hydrogen storage integrated energy system until the optimal configuration result is obtained. For details, please refer to [link to relevant documentation]. Figure 1 Step S103 of the illustrated embodiment will not be described again here.

[0129] The optimized configuration method for a wind-solar-hydrogen storage integrated energy system provided in this embodiment obtains the target simulated wind power and target simulated photovoltaic power of the integrated energy system through wind power generation simulation models and photovoltaic power generation simulation models, respectively. Furthermore, under the constraints of the integrated energy system, based on a preset configuration capacity, the operation of the integrated energy system in off-grid and grid-connected modes can be simulated according to different off-grid and grid-connected operation strategies. Simultaneously, equipment degradation factors can be comprehensively considered to obtain hourly or 15-minute system operation data throughout the entire operational lifecycle. Furthermore, with the lowest levelized cost of hydrogen production (LCOE) over the entire lifecycle as the optimization objective, the configuration of the integrated energy system is optimized by combining the operational simulation results. This fully considers the physical system and external policy constraints and can be used to guide the optimal economic configuration of actual integrated energy projects. Therefore, by implementing this invention, combining simulation results with optimized configuration improves the accuracy and reliability of the optimized configuration results.

[0130] This embodiment provides an optimized configuration method for a wind-solar-hydrogen storage integrated energy system, which can be used in electronic devices such as computers, mobile phones, and tablets. Figure 5 This is a flowchart of an optimized configuration method for a wind-solar-hydrogen storage integrated energy system according to an embodiment of the present invention, such as... Figure 5 As shown, the process includes the following steps:

[0131] Step S501: Obtain the target simulated wind power generation and the target simulated photovoltaic power generation. For details, please refer to [link to relevant documentation]. Figure 2 Step S201 of the illustrated embodiment will not be described again here.

[0132] Step S502: Based on the preset configuration capacity, the operation of the wind-solar-hydrogen storage integrated energy system is simulated using the target wind power generation simulated power and the target photovoltaic power generation simulated power, to obtain the operation simulation results of the wind-solar-hydrogen storage integrated energy system. For details, please refer to... Figure 2 Step S202 of the illustrated embodiment will not be described again here.

[0133] Step S503: Taking the minimum levelized cost of hydrogen production (LCOH) throughout the entire life cycle of the wind-solar-hydrogen storage integrated energy system as the optimization objective, under the constraints of the preset optimization configuration constraint set, the operation of the wind-solar-hydrogen storage integrated energy system is repeatedly simulated based on the LCOH change trend optimization algorithm. The configuration of the wind-solar-hydrogen storage integrated energy system is iteratively optimized using the simulation results until the optimized configuration result of the wind-solar-hydrogen storage integrated energy system is obtained.

[0134] Specifically, step S503 includes:

[0135] Step S5031: Based on the preset optimized configuration constraint set and the simulation results, determine the levelized cost of hydrogen production (LCOH) throughout the entire life cycle of the wind-solar-hydrogen storage integrated energy system.

[0136] Specifically, under the constraints of a preset set of optimized configuration constraints, the levelized cost of hydrogen production (LCOH) over the entire lifecycle of a wind-solar-storage hydrogen integrated energy system can be calculated by combining the results of operational simulation.

[0137] In some optional implementations, step S5031 above includes:

[0138] Step a1: Based on the preset optimized configuration constraint set and the simulation results, configure the wind-solar-storage-hydrogen integrated energy system to obtain the configuration parameter set.

[0139] Step a2: Calculate the levelized cost of hydrogen production (LCOH) over the entire lifecycle based on the configuration parameter set.

[0140] The configuration parameter set may include: hydrogen production parameters, grid power consumption parameters, surplus power fed into the grid parameters, and abandoned power consumption parameters.

[0141] Furthermore, the levelized cost of hydrogen production at LCOH over its entire lifecycle is shown in equations (32) to (34):

[0142]

[0143] C totav =C PV +C Wind +C Bat +C Elec +C conv (33)

[0144] V R =V PV +V Wind +V Bat +V Elec +V conv (34)

[0145] In the formula: i represents the discount rate (%); n represents the number of years the system has been in operation (n = 1, 2, ..., N); N represents the project evaluation period in years (N = 20); C total Indicates the total investment of the project; C PV Indicates photovoltaic investment; C Wind Indicates wind power investment; C Bat Indicates investment in electrochemical energy storage; C Elec Indicates investment in electrolytic cells; C conv Indicates inverter investment; V R V represents the residual value at the end of the project's operating period; PVV represents the residual value of photovoltaic power. Wind V represents the residual value of wind power. Bat V represents the residual value of electrochemical energy storage; Elec V represents the residual value of the electrolytic cell. conv Indicates the inverter residual value; M n This represents the operating costs in year n (including maintenance, insurance, materials, labor costs, and ancillary service fees, but excluding interest); δ sell，n P represents the on-grid electricity price for surplus electricity in year n; sellgrid,n Y represents the surplus electricity fed into the grid in year n; n This represents the system's hydrogen production in year n, expressed in kilograms (kg).

[0146] Specifically, under the constraints of a preset set of optimized configuration constraints, and combined with the obtained simulation results, multiple configuration parameters can be obtained, such as hydrogen production parameters, grid power consumption parameters, surplus power fed into the grid parameters, and abandoned power consumption parameters under the preset configuration capacity.

[0147] Furthermore, the levelized cost of hydrogen production for the entire lifecycle of LCOH was calculated based on the obtained configuration parameters.

[0148] Step S5032: Determine whether the levelized cost of hydrogen production from LCOH over the entire life cycle has reached the optimization target.

[0149] Specifically, it is determined whether the levelized cost of hydrogen production (LCOH) over the entire lifecycle of the wind-solar-storage-hydrogen integrated energy system is the lowest under the current configuration.

[0150] Step S5033: When the levelized hydrogen production cost of LCOH throughout the entire life cycle does not reach the optimization target, the preset configuration capacity is adjusted using the LCOH change trend optimization algorithm, and the simulation results are returned. This process is repeated until the levelized hydrogen production cost of LCOH throughout the entire life cycle is the lowest, thus obtaining the optimized configuration result of the wind-solar-hydrogen storage integrated energy system.

[0151] Specifically, if the levelized cost of hydrogen production (LCOH) over the entire life cycle of the wind-solar-storage-hydrogen integrated energy system is not the lowest under the current configuration, the preset configuration capacity is adjusted using the LCOH change trend optimization algorithm, and the process returns to step S502. This process is repeated until the levelized cost of hydrogen production (LCOH) over the entire life cycle is the lowest, at which point the optimization ends and the corresponding optimized configuration result is obtained.

[0152] Step S5034: When the levelized cost of hydrogen production from LCOH throughout the entire life cycle reaches the optimization target, determine the optimized configuration result of the integrated wind-solar-hydrogen storage energy system based on the configuration parameter set.

[0153] Specifically, if the levelized cost of hydrogen production (LCOH) over the entire life cycle of the wind-solar-storage-hydrogen integrated energy system is the lowest under the current configuration, it means that the current configuration is the optimal configuration. In this case, the optimized configuration result of the wind-solar-storage-hydrogen integrated energy system can be determined directly using the current multiple configuration parameters.

[0154] The optimized configuration method for a wind-solar-hydrogen storage integrated energy system provided in this embodiment can simulate different operating conditions of the system based on a preset configuration capacity. It can also comprehensively consider equipment degradation factors, thereby obtaining hourly or 15-minute system operation data throughout the entire operating lifecycle. Furthermore, by combining the simulation results, multiple configuration parameters of the wind-solar-hydrogen storage integrated energy system under the current initial configuration capacity can be determined. Based on these parameters, the levelized cost of hydrogen production (LCOH) over the entire lifecycle of the system under the current configuration can be calculated. Further, if the LCOH does not reach the optimization target, the preset configuration capacity is adjusted using an LCOH trend optimization algorithm, and the simulation and configuration are repeated until the LCOH is at its lowest, yielding the optimized configuration result for the wind-solar-hydrogen storage integrated energy system. By combining the simulation results with the optimized configuration, the accuracy and reliability of the optimized configuration result are improved.

[0155] This embodiment also provides an optimized configuration device for a wind-solar-hydrogen storage integrated energy system. This device is used to implement the above embodiments and preferred embodiments, and details already described will not be repeated. As used below, the term "module" can refer to a combination of software and / or hardware that performs a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0156] This embodiment provides an optimized configuration device for a wind-solar-hydrogen storage integrated energy system, such as... Figure 6 As shown, it includes:

[0157] The acquisition module 601 is used to acquire the target wind power generation simulation power and the target photovoltaic power generation simulation power.

[0158] The simulation module 602 is used to simulate the operation of the wind-solar-hydrogen storage integrated energy system based on the preset configuration capacity and using the target wind power generation simulated power and the target photovoltaic power generation simulated power, so as to obtain the operation simulation results of the wind-solar-hydrogen storage integrated energy system.

[0159] The optimization module 603 is used to optimize the wind-solar-hydrogen-storage integrated energy system by minimizing the levelized cost of hydrogen production (LCOH) throughout its entire lifecycle. Under the constraints of a preset set of optimization configuration constraints, it repeatedly simulates the operation of the wind-solar-hydrogen-storage integrated energy system based on the LCOH change trend optimization algorithm. The simulation results are then used to iteratively optimize the configuration of the system until the optimal configuration is obtained. The preset set of optimization configuration constraints includes constraints on wind power installed capacity, photovoltaic installed capacity, energy storage installed capacity, electrolyzer installed capacity, hydrogen production output, and electricity consumption.

[0160] In some alternative implementations, the acquisition module 601 includes:

[0161] The first acquisition submodule is used to acquire wind resource characteristics and solar resource characteristics.

[0162] The first processing submodule is used to process the wind resource characteristics through the wind power generation simulation model to obtain the target wind power generation simulation power.

[0163] The second processing submodule is used to process the characteristics of light resources through a photovoltaic power generation simulation model to obtain the target photovoltaic power generation simulation power.

[0164] In some alternative implementations, simulation module 602 includes:

[0165] The second acquisition submodule is used to acquire the target operation strategy and the set of operation simulation constraints for the wind-solar-hydrogen storage integrated energy system. The target operation strategy is one of the off-grid operation strategy and the grid-connected operation strategy. The set of operation simulation constraints includes power balance constraints, power constraints of grid connection cables, operation constraints of the energy storage subsystem, constraints of the water electrolysis hydrogen production subsystem, and operation constraints of the hydrogen storage subsystem.

[0166] The determination submodule is used to determine the simulation results based on the preset configuration capacity, target wind power generation simulation power, and target photovoltaic power generation simulation power, under the constraints of the simulation constraint set, using the target operation strategy.

[0167] In some alternative implementations, the optimization module 603 includes:

[0168] The first determination submodule is used to determine the levelized cost of hydrogen production (LCOH) throughout the entire life cycle of the wind-solar-storage hydrogen integrated energy system based on a preset set of optimized configuration constraints and simulation results.

[0169] The judgment submodule is used to determine whether the levelized cost of hydrogen production at LCOH throughout its entire life cycle has reached the optimization target.

[0170] The iterative submodule is used to adjust the preset configuration capacity using the LCOH change trend optimization algorithm when the levelized hydrogen production cost of LCOH over the entire life cycle does not reach the optimization target, and return to the step of obtaining the running simulation results. This process is repeated until the levelized hydrogen production cost of LCOH over the entire life cycle is the lowest, thus obtaining the optimized configuration result of the wind-solar-hydrogen storage integrated energy system.

[0171] In some alternative implementations, determining the submodule includes:

[0172] The configuration unit is used to configure the wind-solar-storage-hydrogen integrated energy system based on a preset set of optimized configuration constraints and simulation results, and to obtain a set of configuration parameters, including hydrogen production parameters, grid power extraction parameters, surplus power fed into the grid parameters, and abandoned power parameters.

[0173] The calculation unit is used to calculate the levelized cost of hydrogen production (LCOH) over its entire lifecycle based on the set of configuration parameters.

[0174] In some alternative implementations, the optimization module 603 further includes:

[0175] The second determining submodule is used to determine the optimized configuration result of the wind-solar-storage-hydrogen integrated energy system based on the configuration parameter set when the levelized cost of hydrogen production at LCOH throughout the entire life cycle reaches the optimization target.

[0176] Further functional descriptions of the above modules and units are the same as those in the corresponding embodiments described above, and will not be repeated here.

[0177] In this embodiment, the optimized configuration device for the integrated wind, solar, and hydrogen storage energy system is presented in the form of a functional unit. Here, a unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that execute one or more software or fixed programs, and / or other devices that can provide the above functions.

[0178] This invention also provides a computer device having the above-described features. Figure 6 The diagram shows an optimized configuration device for a wind-solar-hydrogen storage integrated energy system.

[0179] Please see Figure 7 , Figure 7 This is a schematic diagram of the structure of a computer device provided in an optional embodiment of the present invention, such as... Figure 7As shown, the computer device includes one or more processors 10, memory 20, and interfaces for connecting the components, including high-speed interfaces and low-speed interfaces. The components communicate with each other via different buses and can be mounted on a common motherboard or otherwise installed as needed. The processors can process instructions executed within the computer device, including instructions stored in or on memory to display graphical information of a GUI on external input / output devices (such as display devices coupled to the interfaces). In some alternative implementations, multiple processors and / or multiple buses can be used with multiple memories and multiple memory modules, if desired. Similarly, multiple computer devices can be connected, each providing some of the necessary operations (e.g., as a server array, a group of blade servers, or a multiprocessor system). Figure 7 Take a processor 10 as an example.

[0180] Processor 10 may be a central processing unit, a network processor, or a combination thereof. Processor 10 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (PLD), or a combination thereof. The programmable logic device may be a complex programmable logic device (CAMP), a field-programmable gate array (FPGA), a general-purpose array logic (GDA), or any combination thereof.

[0181] The memory 20 stores instructions executable by at least one processor 10 to cause at least one processor 10 to perform the method shown in the above embodiments.

[0182] The memory 20 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created based on the use of the computer device. Furthermore, the memory 20 may include high-speed random access memory and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some alternative embodiments, the memory 20 may optionally include memory remotely located relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0183] The memory 20 may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as flash memory, hard disk or solid-state drive; the memory 20 may also include a combination of the above types of memory.

[0184] The computer device also includes a communication interface 30 for communicating with other devices or communication networks.

[0185] This invention also provides a computer-readable storage medium. The methods described above according to embodiments of the invention can be implemented in hardware or firmware, or implemented as computer code that can be recorded on a storage medium, or implemented as computer code downloaded via a network and originally stored on a remote storage medium or a non-transitory machine-readable storage medium and then stored on a local storage medium. Thus, the methods described herein can be processed by software stored on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. The storage medium can be a magnetic disk, optical disk, read-only memory, random access memory, flash memory, hard disk, or solid-state drive, etc.; further, the storage medium can also include combinations of the above types of memory. It is understood that computers, processors, microprocessor controllers, or programmable hardware include storage components capable of storing or receiving software or computer code, which, when accessed and executed by the computer, processor, or hardware, implements the methods shown in the above embodiments.

[0186] A portion of this invention can be applied as a computer program product, such as computer program instructions, which, when executed by a computer, can invoke or provide the methods and / or technical solutions according to the invention through the operation of the computer. Those skilled in the art will understand that the forms in which computer program instructions exist in a computer-readable medium include, but are not limited to, source files, executable files, installation package files, etc. Correspondingly, the ways in which computer program instructions are executed by a computer include, but are not limited to: the computer directly executing the instructions, or the computer compiling the instructions and then executing the corresponding compiled program, or the computer reading and executing the instructions, or the computer reading and installing the instructions and then executing the corresponding installed program. Here, the computer-readable medium can be any available computer-readable storage medium or communication medium accessible to a computer.

[0187] Although embodiments of the invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations all fall within the scope defined by the appended claims.

Claims

1. An optimized configuration method for a wind-solar-hydrogen storage integrated energy system, characterized in that, The integrated wind-solar-hydrogen storage energy system includes a wind power generation subsystem, a photovoltaic power generation subsystem, an electrochemical energy storage subsystem, a water electrolysis hydrogen production subsystem, and a hydrogen storage subsystem; the method includes: Obtain the target simulated wind power generation power and the target simulated photovoltaic power generation power; Based on the preset configuration capacity, using the target wind power generation simulated power and the target photovoltaic power generation simulated power, under the constraints of the operation simulation constraint set, the operation of the wind-solar-hydrogen storage integrated energy system is simulated using one of the off-grid operation strategy and the grid-connected operation strategy as the target operation strategy, and the operation simulation results of the wind-solar-hydrogen storage integrated energy system are obtained. With the goal of minimizing the levelized cost of hydrogen production (LCOH) throughout the entire lifecycle of the wind-solar-hydrogen storage integrated energy system, and under the constraints of a preset set of optimization configuration constraints, the operation of the wind-solar-hydrogen storage integrated energy system is repeatedly simulated based on an LCOH trend optimization algorithm. The simulation results are then used to iteratively optimize the configuration of the system until the optimal configuration is obtained. The preset set of optimization configuration constraints includes constraints on wind power installed capacity, photovoltaic installed capacity, energy storage installed capacity, electrolyzer installed capacity, hydrogen production output, and electricity consumption. In off-grid mode, the power constraint is the ratio of hydrogen production power to the total power generation of the renewable energy system, expressed as the following relationship: In the formula: Indicates the photovoltaic power generation system during the time period Electricity generation within the region; Indicates the time period of the wind power electronic system Electricity generation within the region; This indicates that the electrolytic hydrogen production subsystem is in Power consumption during a given time period; and These represent the minimum and maximum ratios of electricity consumption for hydrogen production to the system's renewable energy generation in off-grid mode, respectively. Indicates the configuration calculation scheduling period; In grid-connected mode, the power constraints include the ratio of electricity purchased from the grid to the system's renewable energy generation and the ratio of electricity supplied from the system to the grid to the system's renewable energy generation. The ratio of electricity purchased from the grid to the system's renewable energy generation is expressed as follows: In the formula: This represents the power purchased from the grid at time t; and These represent the minimum and maximum proportions of electricity drawn from the grid in the renewable energy system's power generation, respectively, under grid-connected mode. The constraint on the proportion of electricity supplied by the system to the grid to the system's renewable energy generation can be expressed by the following formula: In the formula: This represents the power supplied by the system to the grid at time t; and In grid-connected mode, the system supplies electricity to the grid at the minimum and maximum proportions of the system's new energy power generation.

2. The method according to claim 1, characterized in that, Obtain the target simulated wind power generation and the target simulated photovoltaic power generation, including: Acquire wind and solar resource characteristics; The wind resource characteristics are processed through a wind power generation simulation model to obtain the target wind power generation simulation power. The light resource characteristics are processed through a photovoltaic power generation simulation model to obtain the target photovoltaic power generation simulation power.

3. The method according to claim 1, characterized in that, The set of operational simulation constraints includes: power balance constraints, power constraints of power grid connection cables, operational constraints of the energy storage subsystem, constraints of the water electrolysis hydrogen production subsystem, and operational constraints of the hydrogen storage subsystem. The constraints of the water electrolysis hydrogen production subsystem are expressed by the following relationship: In the formula: This indicates that the water electrolysis hydrogen production subsystem is in Power consumption during a given time period; Indicating the first subsystem in the electrolytic hydrogen production system Taiwan Electrolytic Cells during the period Internal power consumption; Indicating the first subsystem in the electrolytic hydrogen production system Taiwan Electrolytic Cells during the period Hydrogen yield within; Represents Avogadro's constant ; This represents the molar volume of a gas at room temperature and pressure. Indicates the number of electrons per unit coulomb; Indicates the rated output voltage; Indicates the conversion efficiency of the electrolytic cell; This indicates the minimum operable power ratio of a single electrolytic cell; This indicates the maximum operating power ratio of a single electrolytic cell; Indicates the first Taiwan Electrolytic Cells during the period Rated operating power within; Indicates the unit time of the electrolytic cell The maximum variable power within; Indicates the number of electrolytic cells; The levelized cost of hydrogen production from LCOH over its entire lifecycle can be expressed by the following formula: In the formula: Indicates the discount rate (%); Indicates the number of years the system has been in operation; Indicates the project evaluation period, in years; Indicates the total investment of the project; Indicates investment in photovoltaics; This indicates wind power investment; This indicates investment in electrochemical energy storage; This indicates the investment in electrolytic cells; This indicates investment in inverters; This represents the residual value at the end of the project's operating period; Indicates the residual value of photovoltaic power; Indicates the residual value of wind power; Indicates the residual value of electrochemical energy storage; Indicates the residual value of the electrolytic cell; Indicates the inverter residual value; Indicates the first Annual operating costs; Indicates the first Over-year electricity price; Indicates the first Annual electricity generation connected to the grid; This represents the system's hydrogen production in year n, expressed in kilograms.

4. The method according to claim 1, characterized in that, With the goal of minimizing the levelized cost of hydrogen production (LCOH) over the entire lifecycle of the wind-solar-hydrogen storage integrated energy system, and under the constraints of a preset set of optimization configuration constraints, the operation of the wind-solar-hydrogen storage integrated energy system is repeatedly simulated based on an LCOH trend optimization algorithm. The simulation results are then used to iteratively optimize the configuration of the system until the optimal configuration is obtained, including: Based on the preset optimized configuration constraint set and the simulation results, the levelized cost of hydrogen production (LCOH) throughout the entire life cycle of the wind-solar-hydrogen storage integrated energy system is determined. Determine whether the levelized cost of hydrogen production from LCOH over its entire lifecycle has achieved the optimization target; When the levelized cost of hydrogen production at LCOH throughout the entire life cycle does not reach the optimization target, the preset configuration capacity is adjusted using the LCOH change trend optimization algorithm, and the simulation results are returned. This process is repeated until the levelized cost of hydrogen production at LCOH throughout the entire life cycle is the lowest, at which point the optimized configuration result of the wind-solar-hydrogen storage integrated energy system is obtained.

5. The method according to claim 4, characterized in that, Based on the preset optimized configuration constraint set and the simulation results, the levelized cost of hydrogen production (LCOE) over the entire lifecycle of the wind-solar-hydrogen storage integrated energy system is determined, including: Based on the preset optimized configuration constraint set and the simulation results, the wind-solar-storage-hydrogen integrated energy system is configured to obtain a configuration parameter set, which includes hydrogen production parameters, grid power extraction parameters, surplus power grid connection parameters, and abandoned power parameters. Based on the configuration parameter set, the levelized cost of hydrogen production at LCOH throughout the entire life cycle is calculated.

6. The method according to claim 5, characterized in that, After determining whether the levelized cost of hydrogen production at LCOH throughout its entire lifecycle reaches the levelized cost of hydrogen production at LCOH throughout its entire lifecycle, the method further includes: When the levelized cost of hydrogen production from LCOH throughout its entire life cycle reaches the optimization target, the optimized configuration result of the integrated wind-solar-hydrogen storage energy system is determined based on the configuration parameter set.

7. An optimized configuration device for a wind-solar-hydrogen storage integrated energy system, characterized in that, The integrated wind-solar-hydrogen storage energy system includes a wind power generation subsystem, a photovoltaic power generation subsystem, an electrochemical energy storage subsystem, a water electrolysis hydrogen production subsystem, and a hydrogen storage subsystem; the device includes: The acquisition module is used to acquire the target simulated wind power generation power and the target simulated photovoltaic power generation power. The simulation module is used to simulate the operation of the wind-solar-hydrogen storage integrated energy system based on the preset configuration capacity, using the target wind power generation simulated power and the target photovoltaic power generation simulated power, under the constraints of the operation simulation constraint set, and using one of the off-grid operation strategy and grid-connected operation strategy as the target operation strategy, to obtain the operation simulation results of the wind-solar-hydrogen storage integrated energy system. The optimization module is used to optimize the wind-solar-hydrogen-storage integrated energy system by minimizing the levelized cost of hydrogen production (LCOH) over its entire lifecycle, under the constraints of a preset set of optimization configuration constraints. Based on an optimization algorithm for LCOH variation trends, it repeatedly simulates the operation of the wind-solar-hydrogen-storage integrated energy system and uses the simulation results to iteratively optimize the configuration of the system until the optimized configuration is obtained. The preset set of optimization configuration constraints includes constraints on wind power installed capacity, photovoltaic installed capacity, energy storage installed capacity, electrolyzer installed capacity, hydrogen production output, and electricity consumption. In off-grid mode, the power constraint is the ratio of hydrogen production power to the total power generation of the renewable energy system, expressed as the following relationship: In the formula: Indicates the photovoltaic power generation system during the time period Electricity generation within the region; Indicates the time period of the wind power electronic system Electricity generation within the region; This indicates that the electrolytic hydrogen production subsystem is in Power consumption during a given time period; and These represent the minimum and maximum ratios of electricity consumption for hydrogen production to the system's renewable energy generation in off-grid mode, respectively. Indicates the configuration calculation scheduling period; In grid-connected mode, the power constraints include the ratio of electricity purchased from the grid to the system's renewable energy generation and the ratio of electricity supplied from the system to the grid to the system's renewable energy generation. The ratio of electricity purchased from the grid to the system's renewable energy generation is expressed as follows: In the formula: This represents the power purchased from the grid at time t; and These represent the minimum and maximum proportions of electricity drawn from the grid in the renewable energy system's power generation, respectively, under grid-connected mode. The constraint on the proportion of electricity supplied by the system to the grid to the system's renewable energy generation can be expressed by the following formula: In the formula: This represents the power supplied by the system to the grid at time t; and In grid-connected mode, the system supplies electricity to the grid at the minimum and maximum proportions of the system's new energy power generation.

8. A computer device, characterized in that, include: The system includes a memory and a processor, which are interconnected. The memory stores computer instructions, and the processor executes the computer instructions to perform the optimized configuration method of the integrated wind, solar, and hydrogen storage energy system as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions for causing the computer to execute the optimization configuration method of the integrated wind, solar, and hydrogen storage energy system as described in any one of claims 1 to 6.

10. A computer program product, characterized in that, The system includes computer instructions for instructing a computer to execute the optimized configuration method for the integrated wind, solar, and hydrogen storage energy system as described in any one of claims 1 to 6.

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