A wind-solar-green electricity direct connection microgrid system optimization configuration method

Abstract

The application discloses a wind-solar-green electricity direct connection micro-grid system optimization configuration method, wherein the optimization configuration method comprises the following steps: collecting power supply data for several years, including a 8760h power consumption load curve of a project construction site, a 8760h wind power output curve of the project construction site and a 8760h photovoltaic output curve of the project construction site; setting a green electricity direct supply calculation constraint boundary; configuring multiple wind-solar installed capacity combinations; combining the power consumption load curve, the wind power output curve and the photovoltaic output curve, and performing iterative calculation on the power supply data of all the wind-solar installed capacity combinations according to the set calculation logic and the green electricity direct supply calculation constraint boundary, and outputting the iterative calculation results; screening multiple target schemes from the iterative calculation results according to requirements, and outputting core evaluation index parameters of the multiple target schemes, and configuring the wind-solar-green electricity direct connection micro-grid system according to the core evaluation index parameters. The application can output an optimal configuration scheme of power supply facilities such as wind power, photovoltaic power and energy storage according to a load curve.

Description

Technical Field

[0001] This invention relates to the field of microgrid power supply technology, and in particular to an optimized configuration method for a wind-solar-green power direct-connected microgrid system. Background Technology

[0002] Industrial parks, mining enterprises, and other users are gradually promoting integrated microgrid systems combining wind power, photovoltaics, and energy storage. This aims to reduce electricity costs and increase the proportion of green energy consumption through self-consumption and surplus power grid connection. However, existing microgrid optimization methods often focus solely on economic efficiency or single consumption indicators, failing to consider the quantitative constraints of local green energy direct connection policies. Furthermore, they lack refined simulation of 8760-hour time-series load and generation data, resulting in poor matching of wind, solar, and energy storage capacity. This can easily lead to problems such as high curtailment rates, failure to meet self-consumption targets, high cost per kilowatt-hour, and excessive grid purchases.

[0003] Meanwhile, existing conventional optimization configuration methods cannot simultaneously take into account the multi-objective synergistic optimization of power supply reliability, initial investment, cost per kilowatt-hour over the entire life cycle, and renewable energy absorption rate, making it difficult to meet the standardized planning and design requirements of green power direct connection projects in various regions. Therefore, there is an urgent need for an optimization configuration method for wind-solar green power direct connection microgrid systems. Summary of the Invention

[0004] This invention provides an optimized configuration method for a wind-solar-green energy direct-connection microgrid system to solve the technical problems mentioned in the background section.

[0005] To achieve the above objectives, the present invention adopts the following technical solution: This invention provides an optimized configuration method for a wind-solar-green energy direct-connection microgrid system, comprising the following steps: S1. Collect power data for several years, including the 8760h load curve, the 8760h wind power output curve, and the 8760h photovoltaic power output curve of the project construction site. S2. Set the calculation constraint boundaries for direct green electricity supply; S3. Based on the 8760h load curve of the project construction site and the initial energy storage capacity and the wind-solar-storage capacity step size, configure multiple wind and solar installed capacity combinations. S4. Combining the 8760h load curve, the 8760h wind power output curve, and the 8760h photovoltaic power output curve of the project construction site, and based on the set calculation logic and green electricity direct supply calculation constraint boundary, perform iterative calculation on the power data of all wind and solar installed capacity combinations and output the iterative calculation results. S5. Select multi-objective schemes from the iterative calculation results according to the requirements, and output the core evaluation index parameters of the multi-objective schemes. Configure the wind-solar-green power direct-connection microgrid system based on the core evaluation index parameters.

[0006] Furthermore, the specific constraint boundary for the green electricity direct supply calculation is: the proportion of total annual self-generated and self-consumed electricity from new energy sources to total available power generation is not less than... %, accounting for no less than % of the total electricity consumption The upper limit for the proportion of electricity generated by grid connection to the total available power generation shall not exceed %. %.

[0007] Furthermore, step S3 specifically includes the following steps: S31. First, extract the initial total electricity consumption on the load side from the 8760h load curve of the project construction site. Then, use the initial total electricity consumption on the load side to calculate the initial power generation of new energy sources, as shown in the following expression: ; in, This indicates the initial power generation from the new energy source; Indicates the renewable energy consumption rate; This indicates the initial total power consumption on the load side; S32, Then, the initial power generation of the new energy source. The output was expanded to obtain the power generation. The unfolded form, combined with power generation Based on the expansion formula and the proportional relationship between photovoltaic investment, wind power investment and power generation hours, the initial installed capacity of wind power and photovoltaic power are calculated, along with the power generation. The expansion is: ; The relationship between photovoltaic investment, wind power investment, and power generation hours is as follows: ; in, Indicates the initial installed capacity of wind power; Indicates the number of hours the wind power generates electricity; Indicates the wind power loss coefficient; Indicates the initial installed capacity of photovoltaic power; Indicates the number of hours of photovoltaic power generation; Indicates the photovoltaic loss factor; This indicates investment in wind power construction; This indicates investment in photovoltaic construction; S33. Set the initial energy storage capacity and the wind-solar-storage capacity step size, combine the initial energy storage capacity with the initial wind power capacity and the initial photovoltaic capacity, and expand according to the wind-solar-storage capacity step size to obtain multiple wind-solar-storage capacity combinations.

[0008] Furthermore, step S4 specifically includes the following steps: S41. Select the first wind and solar installed capacity combination from multiple wind and solar installed capacity combinations; S42. Combining the 8760h electricity load curve, the 8760h wind power output curve, and the 8760h photovoltaic power output curve of the project construction site, and based on the set calculation logic and green electricity direct supply calculation constraint boundary, iteratively calculate the power data corresponding to the currently selected wind and solar installed capacity combination, and output the currently selected wind and solar installed capacity combination and the corresponding power data. S43. Determine whether all wind and solar installed capacity combinations have been iteratively calculated. If yes, proceed to S5; otherwise, select the next wind and solar installed capacity combination as the current wind and solar installed capacity combination and return to S42.

[0009] Furthermore, the specific calculation logic is as follows: S421. First, determine whether the power generation of wind and solar power is greater than the power consumption. If so, proceed to S422; otherwise, proceed to S423. S422. Determine whether the energy storage capacity is less than 100%. If so, use the surplus electricity to charge the energy storage. Otherwise, determine whether the annual on-grid electricity is less than the upper limit stipulated by the project construction site. If so, use the surplus electricity to the grid. If the annual on-grid electricity is equal to the upper limit stipulated by the project construction site, discard the surplus electricity. S423. Determine whether the energy storage capacity is greater than 10%. If so, use wind, solar and energy storage to directly connect the wind, solar and energy green electricity to the microgrid system for power supply; otherwise, use photovoltaic, wind power and the grid to directly connect the wind, solar and energy green electricity to the microgrid system for power supply.

[0010] Furthermore, the corresponding power data includes renewable energy absorption rate, curtailment rate, power generation, grid purchase volume, comprehensive cost per kilowatt-hour over the entire life cycle, green electricity ratio, and energy storage capacity.

[0011] Furthermore, the expression for the curtailment rate is: ×100%; in, Indicates the rate of power curtailment; Indicates photovoltaic power generation; Indicates wind power generation; Indicates electricity consumption; The expression for the comprehensive cost per kilowatt-hour over the entire life cycle is: ; in, This represents the overall cost per kilowatt-hour over the entire lifecycle; This indicates investment in wind power construction; This indicates investment in photovoltaic construction; This indicates investment in energy storage construction; Indicates operation and maintenance costs; Indicates taxes and fees; This represents the total power generation from new energy sources; Wasted electricity; Wind power construction investment Photovoltaic construction investment Energy storage construction investment The expression is as follows: ; ; ; in, Indicates the installed capacity of energy storage. , , These represent the unit cost of wind power, the unit cost of photovoltaic power, and the unit cost of energy storage, respectively. The expression for the energy storage power is: ; in, Indicates energy storage capacity; Indicates the safety factor; This represents the load power at time t; This represents the photovoltaic power output at time t; This indicates the output power of wind power.

[0012] Furthermore, the multi-objective scheme includes the scheme with the lowest overall cost per kilowatt-hour over the entire life cycle, the scheme with the lowest initial investment, the scheme with the highest renewable energy consumption rate, the scheme with the lowest curtailment rate, and the scheme with the lowest grid purchase volume. The core evaluation indicators include the optimal combined installed capacity of wind, solar and energy storage, the renewable energy absorption rate under the optimal combined installed capacity, the curtailment rate, the power generation, the power purchased by the grid, and the comprehensive cost per kilowatt-hour over the entire life cycle.

[0013] The beneficial effects of this invention are: This invention provides an optimized configuration method for wind-solar-green power direct-connected microgrid systems. It can output the optimal configuration scheme of power supply facilities such as wind power, photovoltaic, and energy storage based on the 8760h load curve of the project construction site, so as to achieve the optimal configuration of economical, stable and green energy.

[0014] Furthermore, this invention addresses the technical problems of unreasonable capacity matching, single-objective optimization, and low simulation accuracy in existing configuration methods. This invention utilizes time-series data modeling for the planning year (including the 8760h load curve, wind power output curve, and photovoltaic output curve of the project site), green electricity direct supply calculation constraints, iterative simulation of multiple wind-solar-storage combinations, intelligent algorithm optimization, multi-core evaluation index parameter calculation, and multi-objective scheme selection to output a multi-dimensional optimal configuration scheme that considers cost per kilowatt-hour, initial investment, grid connection rate, curtailment rate, and purchased electricity volume. The entire process is standardized and can be programmed for automated modeling and calculation, making it suitable for batch reuse in engineering projects. Attached Figure Description

[0015] Figure 1 This is a flowchart of the optimized configuration method for a wind-solar-green electricity direct-connection microgrid system in this invention. Detailed Implementation

[0016] To facilitate understanding of the present invention, a more complete description will be given below with reference to the accompanying drawings. Preferred embodiments of the invention are shown in the drawings. However, the invention can be implemented in many other different forms and is not limited to the embodiments described herein. Rather, these embodiments are provided to provide a thorough and complete understanding of the disclosure of the invention.

[0017] Reference Figure 1 This application provides an optimized configuration method for a wind-solar-green energy direct-connected microgrid system, comprising the following steps: S1. Collect power data for several years, including the 8760h load curve, the 8760h wind power output curve, and the 8760h photovoltaic power output curve of the project construction site; perform 0~10% smoothing optimization processing on extreme peak loads in the 8760h load curve, the 8760h wind power output curve, and the 8760h photovoltaic power output curve of the project construction site; S2. Set the calculation constraint boundaries for direct green electricity supply; S3. Based on the 8760h load curve of the project construction site and the initial energy storage capacity and the wind-solar-storage capacity step size, configure multiple wind and solar installed capacity combinations. S4. Combining the 8760h load curve, the 8760h wind power output curve, and the 8760h photovoltaic power output curve of the project construction site, and based on the set calculation logic and the green electricity direct supply calculation constraint boundary, perform iterative calculation on the power data of all wind and solar installed capacity combinations and output the iterative calculation results; the iterative calculation can choose the traversal method or the neural network algorithm. S5. Select multi-objective schemes from the iterative calculation results according to the requirements, and output the core evaluation index parameters of the multi-objective schemes. Configure the wind-solar-green power direct-connection microgrid system based on the core evaluation index parameters.

[0018] In this invention, the more detailed the data provided regarding the 8760h load curve, wind power output curve, and photovoltaic power output curve of the project construction site, the smaller the step size of the wind, solar, and energy storage capacity, the higher the degree of fit between the calculated power data and the load curve, and the closer the annual power generation revenue is to the maximum value.

[0019] In some embodiments, the green electricity direct supply calculation constraint boundary is specifically defined as follows: the proportion of total annual self-generated and self-consumed electricity from new energy sources to total available power generation is not less than % (e.g., 60%), accounting for no less than % of the total electricity consumption. % (e.g., 35%), the upper limit of the proportion of electricity generated by the grid to the total available power generation shall not exceed % (e.g., 20%). Meanwhile, %, %, The percentage can also be adjusted according to the regulations of the project construction site.

[0020] In some embodiments, S3 specifically includes the following steps: S31. First, extract the initial total electricity consumption on the load side from the 8760h load curve of the project construction site. Then, use the initial total electricity consumption on the load side to calculate the initial power generation of new energy sources, as shown in the following expression: ; in, This indicates the initial power generation from the new energy source; Indicates the renewable energy consumption rate; This indicates the initial total power consumption on the load side; S32, Then, the initial power generation of the new energy source. The output was expanded to obtain the power generation. The unfolded form, combined with power generation Based on the expansion formula and the proportional relationship between photovoltaic investment, wind power investment and power generation hours, the initial installed capacity of wind power and photovoltaic power are calculated, along with the power generation. The expansion is: ; The relationship between photovoltaic investment, wind power investment, and power generation hours is as follows: ; in, Indicates the initial installed capacity of wind power; Indicates the number of hours the wind power generates electricity; Indicates the wind power loss coefficient; Indicates the initial installed capacity of photovoltaic power; Indicates the number of hours of photovoltaic power generation; Indicates the photovoltaic loss factor; This indicates investment in wind power construction; This indicates investment in photovoltaic construction; S33. Set the initial energy storage capacity and the wind-solar-storage capacity step size, combine the initial energy storage capacity with the initial wind power capacity and the initial photovoltaic capacity, and expand according to the wind-solar-storage capacity step size to obtain multiple wind-solar-storage capacity combinations.

[0021] In some embodiments, S4 specifically includes the following steps: S41. Select the first wind and solar installed capacity combination from multiple wind and solar installed capacity combinations; S42. Combining the 8760h electricity load curve, the 8760h wind power output curve, and the 8760h photovoltaic power output curve of the project construction site, and based on the set calculation logic and green electricity direct supply calculation constraint boundary, iteratively calculate the power data corresponding to the currently selected wind and solar installed capacity combination, and output the currently selected wind and solar installed capacity combination and the corresponding power data. S43. Determine whether all wind and solar installed capacity combinations have been iteratively calculated. If yes, proceed to S5; otherwise, select the next wind and solar installed capacity combination as the current wind and solar installed capacity combination and return to S42.

[0022] In some embodiments, the setting calculation logic specifically includes: S421. First, determine whether the power generation of wind and solar power is greater than the power consumption. If so, proceed to S422; otherwise, proceed to S423. S422. Determine whether the energy storage capacity is less than 100%. If so, use the surplus electricity to charge the energy storage. Otherwise, determine whether the annual on-grid electricity is less than the upper limit stipulated by the project construction site. If so, use the surplus electricity to the grid. If the annual on-grid electricity is equal to the upper limit stipulated by the project construction site, discard the surplus electricity. S423. Determine whether the energy storage capacity is greater than 10%. If so, use wind, solar and energy storage to directly connect the wind, solar and energy green electricity to the microgrid system for power supply; otherwise, use photovoltaic, wind power and the grid to directly connect the wind, solar and energy green electricity to the microgrid system for power supply.

[0023] In some embodiments, the corresponding power data includes renewable energy absorption rate, curtailment rate, power generation, grid purchase volume, total life-cycle cost per kilowatt-hour, green electricity ratio, and energy storage capacity.

[0024] In some embodiments, the expression for the curtailment rate is: ×100%; in, Indicates the rate of power curtailment; Indicates photovoltaic power generation; Indicates wind power generation; Indicates electricity consumption; The expression for the comprehensive cost per kilowatt-hour over the entire life cycle is: ; in, This represents the overall cost per kilowatt-hour over the entire lifecycle; This indicates investment in wind power construction; This indicates investment in photovoltaic construction; This indicates investment in energy storage construction; Indicates operation and maintenance costs; Indicates taxes and fees; This represents the total power generation from new energy sources; Wasted electricity; Wind power construction investment Photovoltaic construction investment Energy storage construction investment The expression is as follows: ; ; ; in, Indicates the installed capacity of energy storage. , , These represent the unit cost of wind power, the unit cost of photovoltaic power, and the unit cost of energy storage, respectively. The expression for the energy storage power is: ; in, Indicates energy storage capacity; Indicates the safety factor; This represents the load power at time t; This represents the photovoltaic power output at time t; This indicates the output power of wind power.

[0025] In some embodiments, the multi-objective scheme includes the scheme with the lowest overall cost per kilowatt-hour over the entire life cycle, the scheme with the lowest initial investment, the scheme with the highest renewable energy consumption rate, the scheme with the lowest curtailment rate, and the scheme with the lowest grid purchase volume. The core evaluation indicators include the optimal combined installed capacity of wind, solar and energy storage, the renewable energy absorption rate under the optimal combined installed capacity, the curtailment rate, the power generation, the power purchased by the grid, and the comprehensive cost per kilowatt-hour over the entire life cycle.

[0026] This invention is applicable to green electricity direct-connection microgrid planning and capacity configuration design projects in scenarios such as industrial parks, mining enterprises, industrial clusters, and regional integrated energy stations. For wind and solar green electricity direct-connection microgrid systems, this invention provides an optimized configuration method for wind and solar green electricity direct-connection microgrid systems. It can output the optimal configuration scheme of power supply facilities such as wind power, photovoltaic, and energy storage based on the 8760h load curve of the project construction site, so as to achieve the optimal economic, stable, and green energy.

[0027] Furthermore, this invention addresses the technical problems of unreasonable capacity matching, single-objective optimization, and low simulation accuracy in existing configuration methods. This invention utilizes time-series data modeling for the planning year (including the 8760h load curve, wind power output curve, and photovoltaic output curve of the project site), green electricity direct supply calculation constraints, iterative simulation of multiple wind-solar-storage combinations, intelligent algorithm optimization, multi-core evaluation index parameter calculation, and multi-objective scheme selection to output a multi-dimensional optimal configuration scheme that considers cost per kilowatt-hour, initial investment, grid connection rate, curtailment rate, and purchased electricity volume. The entire process is standardized and can be programmed for automated modeling and calculation, making it suitable for batch reuse in engineering projects.

[0028] In another aspect, the present invention provides a wind-solar-green power direct-connection microgrid system, which is configured using an optimized configuration method for the wind-solar-green power direct-connection microgrid system.

[0029] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Furthermore, the technical solutions of the various embodiments of the present invention can be combined with each other, but this must be based on the ability of those skilled in the art to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed by the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for optimizing the configuration of a wind-solar-green energy direct-connection microgrid system, characterized in that, Includes the following steps: S1. Collect power data for several years, including the 8760h load curve, the 8760h wind power output curve, and the 8760h photovoltaic power output curve of the project construction site. S2. Set the calculation constraint boundaries for direct green electricity supply; S3. Based on the 8760h load curve of the project construction site and the initial energy storage capacity and the wind-solar-storage capacity step size, configure multiple wind and solar installed capacity combinations. S4. Combining the 8760h load curve, the 8760h wind power output curve, and the 8760h photovoltaic power output curve of the project construction site, and based on the set calculation logic and green electricity direct supply calculation constraint boundary, iteratively calculate the power data of all wind and solar installed capacity combinations and output the iterative calculation results. S5. Select multi-objective schemes from the iterative calculation results according to the requirements, and output the core evaluation index parameters of the multi-objective schemes. Configure the wind-solar-green power direct-connection microgrid system based on the core evaluation index parameters.

2. The optimized configuration method for a wind-solar-green energy direct-connection microgrid system according to claim 1, characterized in that, The specific constraint boundary for the calculation of direct green electricity supply is: the proportion of total annual self-generated and self-consumed electricity from new energy sources to total available power generation is not less than [a certain percentage]. %, accounting for no less than % of the total electricity consumption The upper limit for the proportion of electricity generated by grid connection to the total available power generation shall not exceed %. %.

3. The optimized configuration method for a wind-solar-green energy direct-connection microgrid system according to claim 2, characterized in that, S3 specifically includes the following steps: S31. First, extract the initial total electricity consumption on the load side from the 8760h load curve of the project construction site. Then, use the initial total electricity consumption on the load side to calculate the initial power generation of new energy sources, as shown in the following expression: ； in, This indicates the initial power generation from the new energy source; Indicates the renewable energy consumption rate; This indicates the initial total power consumption on the load side; S32, Then, the initial power generation of the new energy source. The output was expanded to obtain the power generation. The unfolded form, combined with power generation Based on the expansion formula and the proportional relationship between photovoltaic investment, wind power investment and power generation hours, the initial installed capacity of wind power and photovoltaic power are calculated, along with the power generation. The expansion is: ； The relationship between photovoltaic investment, wind power investment, and power generation hours is as follows: ； in, Indicates the initial installed capacity of wind power; Indicates the number of hours the wind power generates electricity; Indicates the wind power loss coefficient; Indicates the initial installed capacity of photovoltaic power; Indicates the number of hours of photovoltaic power generation; Indicates the photovoltaic loss factor; This indicates investment in wind power construction; This indicates investment in photovoltaic construction; S33. Set the initial energy storage capacity and the wind-solar-storage capacity step size, combine the initial energy storage capacity with the initial wind power capacity and the initial photovoltaic capacity, and expand according to the wind-solar-storage capacity step size to obtain multiple wind-solar-storage capacity combinations.

4. The optimized configuration method for a wind-solar-green energy direct-connection microgrid system according to claim 3, characterized in that, S4 specifically includes the following steps: S41. Select the first wind and solar installed capacity combination from multiple wind and solar installed capacity combinations; S42. Combining the 8760h electricity load curve, the 8760h wind power output curve, and the 8760h photovoltaic power output curve of the project construction site, and based on the set calculation logic and green electricity direct supply calculation constraint boundary, iteratively calculate the power data corresponding to the currently selected wind and solar installed capacity combination, and output the currently selected wind and solar installed capacity combination and the corresponding power data. S43. Determine whether all wind and solar installed capacity combinations have been iteratively calculated. If yes, proceed to S5; otherwise, select the next wind and solar installed capacity combination as the current wind and solar installed capacity combination and return to S42.

5. The optimized configuration method for a wind-solar-green energy direct-connection microgrid system according to claim 4, characterized in that, The specific calculation logic is as follows: S421. First, determine whether the power generation of wind and solar power is greater than the power consumption. If so, proceed to S422; otherwise, proceed to S423. S422. Determine whether the energy storage capacity is less than 100%. If so, use the surplus electricity to charge the energy storage. Otherwise, determine whether the annual on-grid electricity is less than the upper limit stipulated by the project construction site. If so, use the surplus electricity to the grid. If the annual on-grid electricity is equal to the upper limit stipulated by the project construction site, discard the surplus electricity. S423. Determine whether the energy storage capacity is greater than 10%. If so, use wind, solar and energy storage to directly connect the wind, solar and energy green electricity to the microgrid system for power supply; otherwise, use photovoltaic, wind power and the grid to directly connect the wind, solar and energy green electricity to the microgrid system for power supply.

6. The optimized configuration method for a wind-solar-green energy direct-connection microgrid system according to claim 5, characterized in that, The corresponding power data includes renewable energy absorption rate, curtailment rate, power generation, grid purchase volume, comprehensive cost per kilowatt-hour over the entire life cycle, green electricity ratio, and energy storage capacity.

7. The optimized configuration method for a wind-solar-green energy direct-connection microgrid system according to claim 6, characterized in that, The expression for the curtailment rate is: ×100%； in, Indicates the rate of power curtailment; Indicates photovoltaic power generation; Indicates wind power generation; Indicates electricity consumption; The expression for the comprehensive cost per kilowatt-hour over the entire life cycle is: ； in, This represents the overall cost per kilowatt-hour over the entire lifecycle; This indicates investment in wind power construction; This indicates investment in photovoltaic construction; This indicates investment in energy storage construction; Indicates operation and maintenance costs; Indicates taxes and fees; This represents the total power generation from new energy sources; Wasted electricity; Wind power construction investment Photovoltaic construction investment Energy storage construction investment The expression is as follows: ； ； ； in, Indicates the installed capacity of energy storage. , , These represent the unit cost of wind power, the unit cost of photovoltaic power, and the unit cost of energy storage, respectively. The expression for the energy storage power is: ； in, Indicates energy storage capacity; Indicates the safety factor; This represents the load power at time t; This represents the photovoltaic power output at time t; This indicates the output power of wind power.

8. The optimized configuration method for a wind-solar-green energy direct-connection microgrid system according to claim 7, characterized in that, The multi-objective scheme includes the scheme with the lowest overall cost per kilowatt-hour over the entire life cycle, the scheme with the lowest initial investment, the scheme with the highest renewable energy consumption rate, the scheme with the lowest curtailment rate, and the scheme with the lowest grid purchase volume. The core evaluation indicators include the optimal combined installed capacity of wind, solar and energy storage, the renewable energy absorption rate under the optimal combined installed capacity, the curtailment rate, the power generation, the power purchased by the grid, and the comprehensive cost per kilowatt-hour over the entire life cycle.

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