Optimal configuration method and system for light grid-connected wind and light hydrogen storage and production system based on source-load matching degree

Abstract

The invention provides a light grid-connected wind and light hydrogen storage and production system optimal configuration method and system based on a source load matching degree, and relates to the technical field of power grids. The method comprises the following steps: S1, constructing a source load coordinated optimization configuration model, wherein the optimization objectives of the source load coordinated optimization configuration model comprise the highest yield, the highest source load matching degree, the maximization of the new energy utilization rate and the minimization of environmental emission; and S2, inputting the typical daily output of the photovoltaic wind power, the hydrogen production load demand and the actual response quantity of the adjustable resources into the source-load coordinated optimization configuration model, and solving a configuration scheme of the new energy bearing capacity and the optimal access. According to the method and the system, the fineness of capacity configuration is improved, the yield of the system is improved, the investment is reasonably reduced, the consumption level of the system on new energy is improved, and the construction and operation costs of the system are reduced on the basis of ensuring the reasonable benefits of the system.

Description

Technical Field

[0001] The present application relates to the field of power grid technology, and more specifically, to a method and system for optimizing the configuration of a lightly grid-connected wind-solar-solar-storage-hydrogen-production system based on source-load matching. Background Art

[0002] In order to meet the growing demand for hydrogen energy, large-scale hydrogen production technology will become another development trend of hydrogen production technology. At present, industrial hydrogen production technology mainly adopts methods such as steam reforming and partial oxidation, but these methods require a large amount of fossil fuels such as natural gas or coal, and produce a large amount of harmful gases such as carbon dioxide. With the increasing global requirements for environmental protection and sustainable development, green hydrogen production technology will become the mainstream of future development. Green hydrogen production technology includes water electrolysis, solar photoelectric electrolysis, biohydrogen production and other technologies. The characteristics of these technologies are that they do not produce harmful gases such as carbon dioxide and are environmentally friendly.

[0003] The existing hydrogen production system capacity configuration methods mainly include the following:

[0004] Hydrogen energy system capacity planning method based on hydrogen load demand: This method takes into account the capacity planning of new energy hydrogen production and storage systems under different hydrogen load levels, aiming to reasonably promote the application and development of renewable energy such as wind and light in the power grid. This method can achieve the maximum economic benefits while meeting the regional hydrogen load demand, and determines the optimal hydrogen production scale under different operating modes. In addition, this method also takes into account the penalty costs of hydrogen energy shortage and wind and light abandonment and the environmental benefits of the system.

[0005] Hydrogen energy microgrid capacity optimization configuration method considering source and load uncertainty: This method expands the electricity-heat-gas conversion path of the traditional microgrid by utilizing hydrogen energy storage, electric boilers and organic Rankine cycle (ORC) systems to build a multi-energy coupled, low-carbon and efficient hydrogen energy microgrid. Then, a typical daily power load-wind power output selection method based on ordered clustering algorithm and fuzzy C-means (FCM) clustering algorithm is proposed. The annualized total cost is minimized as the optimization goal, and the constraints of power balance, equipment operation, hydrogen storage system and natural gas pipeline are considered to establish a hydrogen energy microgrid capacity optimization configuration model.

[0006] Capacity configuration optimization of hydrogen production system participating in thermal power assisted peak load regulation: This method studies the optimization model of hydrogen production system participating in thermal power assisted peak load regulation, storing abundant wind energy that cannot be consumed by the power grid through water electrolysis and hydrogen storage to improve resource utilization efficiency. By analyzing the technical and economic model of hydrogen production system participating in peak load regulation considering the constraints of thermal power and hydrogen production system, a control strategy for hydrogen production system participating in peak load regulation is proposed, and the capacity optimization configuration scheme of hydrogen production system is obtained.

[0007] Optimal Capacity Configuration of 100% Renewable Energy Integrated Energy System: This method constructs an integrated energy system with multiple couplings of electricity, heat and hydrogen, and establishes a capacity optimization configuration model for a 100% renewable energy integrated energy system with the goal of minimum operating cost and minimum pollutant emissions. The multi-objective problem is solved by compromise planning and fuzzy methods, and the effectiveness of the model is verified through simulation examples based on the characteristic curves of electricity, heat and hydrogen loads of typical daily output and different seasons.

[0008] However, the existing hydrogen production system capacity configuration methods are mainly aimed at meeting the hydrogen production demand or the new energy consumption demand. These hydrogen production system capacity configuration methods are relatively simple, and they meet the regional hydrogen load demand of renewable energy such as wind and light. They do not consider the consumption matching relationship between source and load, and cannot fully cope with the uncertainty of new energy output, so they cannot achieve the technical and economic optimization of system capacity configuration. Summary of the invention

[0009] The purpose of the embodiments of the present application is to provide a method and system for optimizing the configuration of a lightly grid-connected wind-solar-storage-hydrogen production system based on source-load matching, so as to improve the precision of capacity configuration, achieve improved system profitability, reasonably reduce investment, and improve the system's level of absorption of new energy, thereby ensuring reasonable system returns and reducing the cost of system construction and operation.

[0010] In a first aspect, the present invention provides a method for optimizing the configuration of a lightly grid-connected wind-solar-solar-hydrogen storage system based on source-load matching, the method comprising:

[0011] S1: Construct a source-load coordinated optimization configuration model. The optimization objectives of the source-load coordinated optimization configuration model include the highest rate of return, the highest source-load matching, the maximum utilization rate of new energy, and the minimum environmental emissions;

[0012] S2: Input the typical daily output of photovoltaic and wind power, hydrogen production load demand and actual response of adjustable resources into the source-load coordination optimization configuration model to solve the configuration plan of new energy carrying capacity and optimal access.

[0013] In an optional implementation, in S1, the objective function with the highest rate of return is:

[0014]

[0015] Where: NPV is the total revenue; NPV is the present value of revenue from hydrogen sales SE NPV is the present value of electricity sales revenue; ENV NPV is the present value of environmental benefits; ed is the residual value income; C J Total construction investment; NPC OMNPC is the present value of operation and maintenance cost; R NPC is the present value of total equipment replacement cost; YD is the annual direct cost of the project.

[0016] In an optional implementation, in S1, the objective function with the highest source-load matching degree is:

[0017] maxS=S A ·S F

[0018] Where: S is the source-charge matching degree; s A is the horizontal matching degree; s F is the vertical matching degree.

[0019] In an optional embodiment, in S1, the horizontal matching degree s A The calculation formula is as follows:

[0020]

[0021] Where: t is the time of the statistical cycle; ΔP ldi is the difference between the load size and the output size of new energy at time i; ΔP ldmax It is the maximum value of the difference between load and new energy output;

[0022] Vertical matching F The calculation formula is as follows:

[0023]

[0024] Where: ΔP ldmin It is the minimum value of the difference between load and renewable energy output.

[0025] In an optional implementation, in S1, the objective function for maximizing the utilization rate of new energy is:

[0026]

[0027] In the formula, r represents the level of new energy utilization; T is the total number of moments in the statistical period; are the total output power of all distributed wind power and photovoltaic power generation in the system at time t; and They respectively represent the upper limits of the output of distributed wind power and distributed photovoltaic power generation in the system at time t.

[0028] In an optional embodiment, in S1, the objective function for minimizing environmental emissions is:

[0029]

[0030] In the formula, C env is environmental emission; T is the total time of the statistical period; is the total output power discharged by the system units at time t; ω NOx ,ω SO2 ,ω DUST They respectively represent the emission coefficients of nitrogen oxides, sulfur dioxide and smoke of the system units at time t.

[0031] In an optional embodiment, in S2, the configuration scheme also includes a system hydrogen supply strategy and a power balance strategy.

[0032] In an optional embodiment, in S2, the system hydrogen supply strategy includes:

[0033] In order to meet the downstream hydrogen demand, a variety of hydrogen supply channels are designed, in order of priority: direct supply of hydrogen from wind and solar power generation, hydrogen production from energy storage, hydrogen discharge from hydrogen storage tanks, and direct supply from grid electricity.

[0034] In an optional implementation, in S2, the power balancing strategy includes:

[0035] Wind and solar power are preferentially supplied to hydrogen production electrolyzers, and the electricity generated by wind and solar power is converted into hydrogen by hydrogen production electrolyzers and directly supplied to downstream chemical systems; when the power of wind and solar power is higher than the power required for direct hydrogen supply, the excess power of wind and solar power is first stored in electrochemical energy storage. If the electrochemical energy storage has reached its upper limit, it is converted into hydrogen by the hydrogen production electrolyzer and stored in the hydrogen storage tank; if the hydrogen storage tank is full and the power of wind and solar power is still surplus, electricity within 20% of the total installed capacity of wind and solar power is connected to the grid, and electricity exceeding 20% ​​of the total installed capacity of wind and solar power is balanced by abandoning wind and solar power; when wind and solar hydrogen storage and hydrogen supply from hydrogen storage tanks cannot meet downstream hydrogen demand, grid electricity is purchased to ensure system power balance.

[0036] In a second aspect, the present invention provides a light grid-connected wind-solar-hydrogen storage and production system optimization configuration system based on source-load matching, the system comprising:

[0037] Model building module, used to build a source-load coordinated optimization configuration model. The optimization objectives of the source-load coordinated optimization configuration model include the highest rate of return, the highest source-load matching, the maximum utilization rate of new energy, and the minimum environmental emissions;

[0038] The coordinated optimization configuration module is used to input the typical daily output of photovoltaic and wind power, hydrogen production load demand and actual response of adjustable resources into the source-load coordinated optimization configuration model to solve the configuration plan of new energy carrying capacity and optimal access.

[0039] The embodiments of the present invention aim at the capacity configuration of the hydrogen production system, and propose a capacity optimization method and system for a light grid-connected wind-solar-energy storage system based on source-load matching. At present, the capacity configuration of the hydrogen production system can only be based on meeting the hydrogen production demand as the standard for system capacity configuration analysis, and the electrolyzer capacity and energy storage capacity are configured based on the hydrogen production demand. The method and system provided by the embodiments of the present invention take into account the output characteristics of different new energy sources, combine the renewable energy consumption on the supply side and the regulation potential of resources on the demand side, improve the precision of capacity configuration, achieve an increase in system yield, reasonably reduce investment, improve the system's level of consumption of new energy, and reduce the cost of system construction and operation on the basis of ensuring reasonable system returns. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0041] Figure 1 A flow chart of a method for optimizing the configuration of a lightly grid-connected wind-solar-hydrogen storage system based on source-load matching provided in an embodiment of the present application;

[0042] Figure 2 A block diagram of the composition of a lightly grid-connected wind-solar-hydrogen storage and production system optimization configuration system based on source-load matching provided in an embodiment of the present application. DETAILED DESCRIPTION

[0043] The technical solutions in the embodiments of the present application will be described below in conjunction with the drawings in the embodiments of the present application.

[0044] Figure 1 A method for optimizing the configuration of a lightly grid-connected wind-solar-storage hydrogen production system based on source-load matching is provided for the embodiment of the present application (hereinafter referred to as the method), and the method comprises the following steps:

[0045] S1: Construct a source-load coordinated optimization configuration model. The optimization objectives of the source-load coordinated optimization configuration model include the highest rate of return, the highest source-load matching, the maximum utilization of new energy, and the minimum environmental emissions.

[0046] Based on the traditional system capacity configuration method, the response potential of new energy, hydrogen production load, energy storage, and adjustable resources in the region is considered to determine whether the installed capacity of new energy, energy storage system capacity, and electrolyzer configuration capacity are reasonable. Combined with the source-load coordinated optimization configuration model, multiple capacity configuration plans are proposed.

[0047] The source-load coordinated optimization configuration model fully considers the daily output of renewable energy, hydrogen production load demand and the actual response of adjustable resources, solves the problems of renewable energy carrying capacity and optimal access through mathematical models and multi-objective optimization methods, and quantitatively evaluates the improvement of renewable energy carrying capacity and hydrogen production capacity of hydrogen production system through energy storage configuration and reasonable charging and discharging guidance.

[0048] 1) The objective function with the highest rate of return is:

[0049]

[0050] Where: NPV is the total revenue; NPV is the present value of revenue from hydrogen sales SE NPV is the present value of electricity sales revenue; ENV NPV is the present value of environmental benefits ed is the residual value income; C J Total construction investment; NPC OM NPC is the present value of operation and maintenance cost; R NPC is the present value of total equipment replacement cost; YD is the annual direct cost of the project.

[0051] 2) The objective function with the highest source-load matching degree is:

[0052] maxS=S A ·S F

[0053] Where: S is the source-charge matching degree; s A is the horizontal matching degree; s F is the vertical matching degree.

[0054] Specifically, the matching of photovoltaic power, wind power, online electricity purchase, and water electrolysis for hydrogen production involves four main objects, namely, the scale of upstream wind power photovoltaic power purchase installed capacity, the scale of hydrogen production equipment for water electrolysis for hydrogen production, the hydrogen storage capacity to ensure downstream supply, and the installed capacity of downstream chemical process systems. Among them, the upstream power generation system also has a proportional relationship matching of wind power, photovoltaic power, and power purchase capacity. In addition, the excess electricity can be sold to amortize the cost of hydrogen production. The matching degree of these four main objects determines the overall hydrogen production and supply capacity of the hydrogen production station and the reasonableness of the technical economy.

[0055] The correlation between the four main objects and hydrogen output is as follows: Increasing the power generation capacity can increase the full load or relatively high load operation time of the hydrogen production device, thereby reducing the capacity demand of the hydrogen production device and the proportion of electricity purchase. At the same time, the capacity limitation of the hydrogen production device may lead to an increase in the amount of wind power abandoned; Increasing the hydrogen production capacity can increase the power abandonment threshold at the power generation end, improve the utilization rate of the power generation device, reduce the demand for power generation capacity, and reduce the proportion of electricity purchase, but at the same time it will lead to a decrease in the utilization rate of the hydrogen production device; Increasing the hydrogen storage capacity can improve the utilization rate of power generation and hydrogen production devices and reduce the proportion of electricity purchase; Increasing the installed capacity of the chemical process system can allow the device to operate at low load under fixed output; Selling electricity when power generation exceeds demand can generate additional revenue.

[0056] The source-load matching degree is composed of two indicators: horizontal matching degree and vertical matching degree. The horizontal matching degree refers to the ratio of the average value of the difference between the load size and the new energy output size at each moment to the maximum value of the difference. It reflects the smoothness of the grid supply load curve after the load curve is subtracted from the new energy output curve over a period of time. It can more realistically measure the degree of matching between the load and the new energy output.

[0057] The calculation formula for horizontal matching is:

[0058]

[0059] ΔP ldmax =max{ΔP ldi}

[0060] Where: s A is the horizontal matching degree; t is the time number of the statistical cycle; ΔP ldi is the difference between the load size and the output size of new energy at time i; ΔP ldmax It is the maximum value of the difference between load and renewable energy output.

[0061] Vertical matching refers to the ratio of the minimum to maximum value of the difference between the load size and the output size of new energy at each moment, reflecting the maximum difference between the two over a period of time. The calculation formula of vertical matching is:

[0062]

[0063] ΔP ldmin =min{ΔP ldi}

[0064] Where: s F is the vertical matching degree, ΔP ldmin It is the minimum value of the difference between load and renewable energy output.

[0065] The two indicators of horizontal matching and vertical matching are combined by cumulative multiplication to form the matching degree between load and renewable energy output. Assuming that the maximum value of each indicator is 1, the calculation formula of matching degree S is:

[0066] S=s A ·s F

[0067] The larger the matching degree S is, the higher the matching degree between the load and the output of new energy is.

[0068] Regarding the matching principle. The demand for hydrogen needs to consider two factors: one is the demand for hydrogen volume, and the other is the demand for hydrogen supply stability. The hydrogen production of the hydrogen production station not only needs to achieve a balance between the total hydrogen production requirements and the total hydrogen production requirements, but also needs to ensure the timeliness of the hydrogen supply, which is reflected in the following parameters: the total annual hydrogen production of the hydrogen production station and the hourly supply.

[0069] All links of wind power + photovoltaic water electrolysis to produce hydrogen, including wind power, photovoltaics, water electrolysis to produce hydrogen and hydrogen storage and compression, need to meet the prerequisites for technical feasibility.

[0070] Therefore, wind and solar load matching must follow the following principles: through coordinated control of source, grid, load and storage, give priority to the local use of wind and solar power generation, purchase electricity from the power grid when wind and solar power generation cannot be met, and sell electricity to the power grid when wind and solar power generation cannot be absorbed by the system locally; the annual online power generation of the wind and solar integrated hydrogen production system shall not exceed 20% of the theoretical power generation, the online power shall not exceed 20% of the total installed capacity of wind and solar power, the purchased power shall not exceed 10% of the system power consumption, and the abandoned power shall not exceed 10% of the theoretical power generation.

[0071] 3) The objective function for maximizing the utilization rate of new energy is:

[0072]

[0073] In the formula, r represents the level of new energy utilization; T is the total number of moments in the statistical period; They are the total output power of all distributed wind power and photovoltaic power generation in the system at time t, kW, and their values ​​are determined by the real-time scheduling link of the units; and They represent the upper limits of the output of distributed wind power and distributed photovoltaic power generation in the system at time t, in kW. Their values ​​are determined by the local wind speed and light intensity at that moment, as well as the output characteristics of distributed wind power and photovoltaic power generation.

[0074] 4) The objective function for minimizing environmental emissions is:

[0075]

[0076] In the formula, C envis environmental emission; T is the total time of the statistical period; is the total output power discharged by the system units at time t; ω NOx ,ω SO2 ,ω DUST They represent the emission coefficients of nitrogen oxides, sulfur dioxide and smoke of the system units at time t, kg / kWh respectively.

[0077] S2: Input the typical daily output of photovoltaic and wind power, hydrogen production load demand and actual response of adjustable resources into the source-load coordination optimization configuration model to solve the configuration plan of new energy carrying capacity and optimal access.

[0078] Among them, the configuration plan also includes system hydrogen supply strategy and power balance strategy.

[0079] Specifically, regarding the system hydrogen supply strategy. In order to meet the downstream hydrogen demand, this embodiment designs multiple hydrogen supply methods, which are ranked in order of priority: direct supply of hydrogen from wind and solar power generation, hydrogen production from energy storage, hydrogen storage tank discharge, and direct supply of hydrogen from grid power generation.

[0080] The system gives priority to using wind and solar power generation to produce hydrogen for direct supply to downstream chemical process systems; when the amount of hydrogen directly produced by wind and solar power generation and pure energy storage cannot meet the downstream hydrogen flow demand, the system gives priority to using hydrogen storage tanks to release hydrogen for external supply; when the amount of hydrogen directly produced by wind and solar power generation cannot meet the downstream hydrogen demand, and the remaining hydrogen amount in the hydrogen storage tank has reached the lower limit, the system purchases grid electricity to produce hydrogen for external supply, that is, direct supply of hydrogen produced by grid electricity.

[0081] Regarding the power balance strategy. The mildly grid-connected hydrogen production system adopts a weakly connected grid connection. In order to ensure that as much new energy electricity as possible is consumed locally by the hydrogen production system and reduce the system's occupation of the public grid's consumption space, the wind-solar-hydrogen power balance strategy is as follows:

[0082] Wind and solar power are preferentially supplied to hydrogen production electrolyzers. The electricity generated by wind and solar power is converted into hydrogen by hydrogen production electrolyzers and directly supplied to downstream chemical systems. When the power of wind and solar power is higher than the power required for direct hydrogen supply, the excess power of wind and solar power is first stored in electrochemical energy storage. If the electrochemical energy storage has reached its upper limit, it is converted into hydrogen by the hydrogen production electrolyzer and stored in hydrogen storage tanks. When the hydrogen storage tank is full and the power of wind and solar power is still surplus, electricity within 20% of the total installed capacity of wind and solar power is connected to the grid, and electricity exceeding 20% ​​of the total installed capacity of wind and solar power is balanced by abandoning wind and solar power. When wind and solar hydrogen storage and hydrogen supply from hydrogen storage tanks cannot meet downstream hydrogen demand, a certain power of grid electricity is purchased to ensure system power balance.

[0083] Based on the same invention concept, please refer to Figure 2 In the embodiment of the present application, a light grid-connected wind-solar-hydrogen storage system optimization configuration system based on source-load matching is also provided, and the system includes:

[0084] The model building module is used to build a source-load coordinated optimization configuration model. The optimization objectives of the source-load coordinated optimization configuration model include the highest rate of return, the highest source-load matching degree, the maximum utilization rate of new energy, and the minimum environmental emissions; that is, the model building module is used to execute the above S1.

[0085] The coordinated optimization configuration module is used to input the typical daily output of photovoltaic and wind power, the load demand of hydrogen production and the actual response of adjustable resources into the source-load coordinated optimization configuration model to solve the configuration plan of new energy carrying capacity and optimal access; that is, the coordinated optimization configuration module is used to execute the above S2.

[0086] The beneficial effects of the method and system for optimizing configuration of a lightly grid-connected wind-solar-hydrogen storage system based on source-load matching provided in this embodiment include:

[0087] The embodiments of the present invention aim at the capacity configuration of the hydrogen production system, and propose a capacity optimization method and system for a light grid-connected wind-solar-energy storage system based on source-load matching. At present, the capacity configuration of the hydrogen production system can only be based on meeting the hydrogen production demand as the standard for system capacity configuration analysis, and the electrolyzer capacity and energy storage capacity are configured based on the hydrogen production demand. The method and system provided by the embodiments of the present invention take into account the output characteristics of different new energy sources, combine the renewable energy consumption on the supply side and the regulation potential of resources on the demand side, improve the precision of capacity configuration, achieve an increase in system yield, reasonably reduce investment, improve the system's level of consumption of new energy, and reduce the cost of system construction and operation on the basis of ensuring reasonable system returns.

[0088] In the embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, and the indirect coupling or communication connection of devices or units can be electrical, mechanical or other forms.

[0089] In addition, the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0090] Furthermore, the functional modules in the various embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.

[0091] It should be noted that if the function is implemented in the form of a software function module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can essentially be embodied in the form of a software product, or in other words, the part that contributes to the prior art or the part of the technical solution. The computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM) random access memory (RAM), disk or optical disk, and other media that can store program codes.

[0092] In this document, relational terms such as first and second, etc. are used merely to distinguish one entity or operation from another entity or operation, but do not necessarily require or imply any such actual relationship or order between these entities or operations.

[0093] The above are only embodiments of the present application and are not intended to limit the scope of protection of the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the scope of protection of the present application.

Claims

1. A method for optimizing the configuration of a lightly grid-connected wind-solar-hydrogen storage system based on source-load matching, characterized in that: The method comprises: S1: construct a source-load coordinated optimization configuration model, wherein the optimization objectives of the source-load coordinated optimization configuration model include the highest rate of return, the highest source-load matching degree, the maximum utilization rate of new energy, and the minimum environmental emissions; S2: Input the typical daily output of photovoltaic and wind power, the load demand of hydrogen production and the actual response of adjustable resources into the source-load coordinated optimization configuration model to solve the configuration plan of new energy carrying capacity and optimal access.

2. The method for optimizing the configuration of a lightly grid-connected wind-solar-hydrogen storage system based on source-load matching according to claim 1 is characterized in that: In S1, the objective function with the highest rate of return is: Where: NPV is the total revenue; NPV is the present value of revenue from hydrogen sales SE NPV is the present value of electricity sales revenue; ENV NPV is the present value of environmental benefits; ed is the residual value income; C J Total construction investment; NPC OM is the present value of operation and maintenance cost; NPC R NPC is the present value of total equipment replacement cost; YD is the annual direct cost of the project.

3. The method for optimizing the configuration of a lightly grid-connected wind-solar-hydrogen storage system based on source-load matching according to claim 1 is characterized in that: In S1, the objective function with the highest source-load matching degree is: maxS=S A ·S F Where: S is the source-charge matching degree; s A is the horizontal matching degree; s F is the vertical matching degree.

4. The method for optimizing the configuration of a lightly grid-connected wind-solar-hydrogen storage system based on source-load matching according to claim 3 is characterized in that: In S1, the horizontal matching degree s A The calculation formula is as follows: Where: t is the time of the statistical cycle; ΔP ldi is the difference between the load size and the output size of new energy at time i; ΔP ldmax It is the maximum value of the difference between load and new energy output; Vertical matching F The calculation formula is as follows: Where: ΔP ldmin It is the minimum value of the difference between load and renewable energy output.

5. The method for optimizing the configuration of a lightly grid-connected wind-solar-hydrogen storage system based on source-load matching according to claim 1 is characterized in that: In S1, the objective function for maximizing the utilization rate of new energy is: In the formula, r represents the level of new energy utilization; T is the total number of moments in the statistical period; are the total output power of all distributed wind power and photovoltaic power generation in the system at time t; and They respectively represent the upper limits of the output of distributed wind power and distributed photovoltaic power generation in the system at time t.

6. The method for optimizing the configuration of a lightly grid-connected wind-solar-hydrogen storage system based on source-load matching according to claim 1 is characterized in that: In S1, the objective function for minimizing environmental emissions is: In the formula, C env is environmental emission; T is the total time of the statistical period; is the total output power discharged by the system units at time t; ω NOx ,ω SO2 ,ω DUST They respectively represent the emission coefficients of nitrogen oxides, sulfur dioxide and smoke of the system units at time t.

7. The method for optimizing the configuration of a lightly grid-connected wind-solar-hydrogen storage system based on source-load matching according to claim 1, characterized in that: In S2, the configuration scheme also includes a system hydrogen supply strategy and a power balance strategy.

8. The method for optimizing the configuration of a lightly grid-connected wind-solar-hydrogen storage system based on source-load matching according to claim 7 is characterized in that: In S2, the system hydrogen supply strategy includes: In order to meet the downstream hydrogen demand, a variety of hydrogen supply channels are designed, in order of priority: direct supply of hydrogen from wind and solar power generation, hydrogen production from energy storage, hydrogen discharge from hydrogen storage tanks, and direct supply from grid electricity.

9. The method for optimizing the configuration of a lightly grid-connected wind-solar-hydrogen storage system based on source-load matching according to claim 7, characterized in that: In S2, the power balancing strategy includes: Wind and solar power are preferentially supplied to hydrogen production electrolyzers, and the electricity generated by wind and solar power is converted into hydrogen by hydrogen production electrolyzers and directly supplied to downstream chemical systems; when the power of wind and solar power is higher than the power required for direct hydrogen supply, the excess power of wind and solar power is first stored in electrochemical energy storage. If the electrochemical energy storage has reached its upper limit, it is converted into hydrogen by the hydrogen production electrolyzer and stored in the hydrogen storage tank; if the hydrogen storage tank is full and the power of wind and solar power is still surplus, electricity within 20% of the total installed capacity of wind and solar power is connected to the grid, and electricity exceeding 20% ​​of the total installed capacity of wind and solar power is balanced by abandoning wind and solar power; when wind and solar hydrogen storage and hydrogen supply from hydrogen storage tanks cannot meet downstream hydrogen demand, grid electricity is purchased to ensure system power balance.

10. An optimization configuration system for a lightly grid-connected wind-solar-hydrogen storage system based on source-load matching, characterized in that: The system comprises: A model building module is used to build a source-load coordinated optimization configuration model, wherein the optimization objectives of the source-load coordinated optimization configuration model include the highest rate of return, the highest source-load matching degree, the maximum utilization rate of new energy, and the minimum environmental emissions; The coordinated optimization configuration module is used to input the typical daily output of photovoltaic and wind power, the load demand of hydrogen production and the actual response of adjustable resources into the source-load coordinated optimization configuration model to solve the configuration plan of new energy carrying capacity and optimal access.

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