Distributed photovoltaic development scheme evaluation method based on radiant energy data

Abstract

The present application relates to a kind of distributed photovoltaic development scheme evaluation method based on radiant energy data.Based on the radiant energy data measured by NASA, the radiant energy per square meter of the region is analyzed and calculated, and the power generation per square meter of photovoltaic is calculated.Based on the area of the region where photovoltaic can be laid, the conversion efficiency of the power of distributed photovoltaic direct side component after inverter is calculated to obtain the annual power generation of photovoltaic in the region.Calculate the maximum utilization hours of distributed photovoltaic in the past 5 years, the average maximum utilization hours and the capacity ratio of distributed photovoltaic.Calculate the average power of each square meter of distributed photovoltaic component, and the capacity of the region where distributed photovoltaic direct component can be installed.Calculate the rated capacity constraint value of the alternating side of the inverter of the region distributed photovoltaic and the capacity ratio constraint after all the area where distributed photovoltaic can be installed is laid with distributed photovoltaic.Based on the remaining development proportion of the direct side component of distributed photovoltaic and the remaining development proportion of the capacity of the alternating side of inverter, a target function is established.

Description

Technical Field

[0001] This invention relates to a method for evaluating distributed photovoltaic development schemes based on radiation energy data. Background Technology

[0002] On March 15, 2021, the proposal to build a new power system with new energy as the mainstay was clearly put forward, signifying that the explosive growth and large-scale grid connection of new energy is an inevitable trend, and the traditional fossil fuel power system will be transformed into a high-proportion new energy power system. On January 4, 2023, the General Office of the National Energy Administration released the "Blue Book on the Development of New Power Systems (Draft for Comments)," which clarified the new requirements, new connotations, new stages, and new tasks facing the construction of a new power system, and proposed to promote the local development, utilization, grid connection, and consumption of distributed new energy.

[0003] The increasing penetration rate of distributed photovoltaic power will inevitably have a significant impact on power grid planning, construction, and development, in order to ensure power grid integration, safe and reliable grid operation, and power quality. Summary of the Invention

[0004] The purpose of this invention is to provide a method for evaluating distributed photovoltaic development schemes based on radiation energy data, which can provide theoretical analysis basis for grid planners and distributed photovoltaic development, and can better plan the future development of distributed photovoltaics, which has great significance for engineering practice.

[0005] To achieve the above objectives, the technical solution of this invention is: a method for evaluating distributed photovoltaic development schemes based on radiation energy data. First, based on radiation energy data measured by NASA, the radiation energy per square meter of a region is analyzed and calculated. Then, considering the area of ​​photovoltaic installation and the conversion efficiency of the photovoltaic panels in converting radiation energy into electrical energy, the power generation per square meter of photovoltaic power is calculated. Based on the area of ​​the region where photovoltaic power can be installed and the conversion efficiency of the distributed photovoltaic DC-side components after inverter operation, the total annual photovoltaic power generation of the analyzed region is calculated. The annual power generation of the analyzed region with distributed photovoltaic power and the rated AC installed capacity of the inverters over the past five years are statistically analyzed, and then the maximum utilization hours of distributed photovoltaic power and the distributed photovoltaic power generation over the past five years are calculated. The analysis process involves several key aspects. First, the average maximum utilization hours of photovoltaic (PV) modules and the existing capacity ratio of distributed PV systems are calculated. Then, based on the capacity of distributed PV modules on the DC side and the installed area of ​​distributed PV in the analyzed region, the average power per square meter of distributed PV modules is calculated, leading to the calculation of the capacity of DC distributed PV modules that can be installed in the analyzed region. Finally, the rated capacity constraint of the AC side of the distributed PV inverter in the analyzed region and the capacity ratio constraint after all areas in the analyzed region suitable for distributed PV installation are covered with distributed PV are calculated. Based on the remaining development ratio of the DC side distributed PV modules and the remaining development ratio of the AC side inverter capacity, an objective function is established. The rationality of future distributed PV development plans is evaluated based on the objective function value, and recommendations are made.

[0006] In one embodiment of the present invention, the specific implementation method for analyzing and calculating the radiation energy per square meter of a region based on NASA-measured radiation energy data is as follows:

[0007] Based on NASA's measured data, the enormous energy potential of solar energy is demonstrated. The cumulative daily radiation energy of the analyzed region is obtained from the NASA website, and by summing these values, the annual radiation energy can be obtained. The average annual radiation energy of the analyzed region over the past 5 years is shown in the following formula:

[0008]

[0009] In the formula, W ave This represents the average annual radiation energy per square meter in the analyzed area over the past 5 years, expressed in W. i Let represent the annual radiation energy per square meter of the region analyzed in year i, where i∈(1,5).

[0010] In one embodiment of the present invention, the power generation per square meter of photovoltaic power is calculated based on the photovoltaic area to be laid and the conversion efficiency of the photovoltaic panels in converting radiant energy into electrical energy. The specific implementation method for calculating the annual photovoltaic power generation of the analyzed region based on the area where photovoltaic power can be laid and the conversion efficiency of the distributed photovoltaic DC-side components after inverter is as follows:

[0011] If photovoltaic panels are installed covering 50% of the area, and the conversion efficiency of radiant energy into electrical energy is α, then the average annual power generation per square meter is W. electric As shown in the following formula:

[0012]

[0013] In the formula, W electric This represents the average annual power generation per square meter in the analyzed area, and α represents the conversion efficiency of the photovoltaic panel in converting radiant energy into electrical energy.

[0014] Based on the area where distributed photovoltaic power can be installed, the annual power generation of distributed photovoltaic power in the analyzed area is calculated as follows:

[0015] W annual,electric =W electric ·S PV,square ·η·λ (3)

[0016] In the formula, S PV,square W represents the area in the analyzed region where distributed photovoltaic power can be installed. annual,electric η represents the annual power generation of distributed photovoltaic (PV) in the analyzed region, η represents the conversion efficiency of the DC-side PV module power after passing through the inverter, and λ represents the output simultaneity rate of distributed PV in the analyzed region.

[0017] In one embodiment of the present invention, the specific implementation method for calculating the annual power generation of distributed photovoltaic power generation and the rated installed capacity of AC inverters in the analyzed region over the past 5 years, and then calculating the maximum utilization hours of distributed photovoltaic power generation, the average maximum utilization hours of distributed photovoltaic power generation, and the capacity ratio of existing distributed photovoltaic power generation over the past 5 years, is as follows:

[0018] The annual power generation of distributed photovoltaic (PV) systems and the rated installed capacity of AC inverters in the analyzed region over the past five years were statistically analyzed. The maximum utilization hours of distributed PV systems over the past five years were then calculated. Finally, the average maximum utilization hours of distributed PV systems and the existing capacity ratio of distributed PV systems over the past five years were calculated, as shown in the following formula:

[0019]

[0020]

[0021]

[0022] In the formula, T i,max W represents the maximum utilization hours of distributed photovoltaic power in the region in year i. i,annual,electric S represents the annual distributed photovoltaic power generation in region i-th year. i,inverter,PV T represents the rated AC capacity of the inverter for distributed photovoltaic systems in the i-th year of the region. ave,maxβ represents the average maximum utilization hours of distributed photovoltaic (PV) systems in the analyzed region over the past 5 years, and S represents the distributed PV capacity ratio. current,DC,PV This represents the current DC-side distributed photovoltaic module capacity in the analyzed region, S. current,inverter,PV This indicates the current AC-side rated capacity of distributed photovoltaic inverters in the analyzed region.

[0023] In one embodiment of the present invention, the specific implementation method for calculating the average power of distributed photovoltaic modules per square meter based on the capacity of distributed photovoltaic modules on the DC side and the installed area of ​​distributed photovoltaic in the analyzed region, and then calculating the capacity of distributed photovoltaic DC modules that can be installed in the analyzed region, is as follows:

[0024] Based on the DC-side distributed photovoltaic module capacity and installed area of ​​the analyzed region, the average power per square meter of distributed photovoltaic modules is calculated as follows:

[0025]

[0026] In the formula, S PV,square,meter S represents the capacity of distributed photovoltaic DC-side modules installed per square meter in the analyzed area. current,PV,square This indicates the area where distributed photovoltaic systems have been installed in the currently analyzed region;

[0027] The calculated capacity of distributed photovoltaic DC modules that can be installed in the analyzed area is shown in the following formula:

[0028] S DC,PV =S PV,square,meter ·S PV,square (8)

[0029] In the formula, S DC,PV This indicates the capacity of the analyzed region to install distributed photovoltaic DC-side modules.

[0030] In one embodiment of the present invention, the specific implementation of calculating the rated capacity constraint value of the AC side of the distributed photovoltaic inverter in the analyzed area and the capacity ratio constraint after all the areas in the analyzed area where distributed photovoltaic can be installed are covered with distributed photovoltaic is as follows:

[0031] Based on the annual power generation W of distributed photovoltaic power in the analyzed region annual,electric The average maximum utilization hours T of distributed photovoltaic power in the analyzed areas over the past 5 years ave,max The rated capacity constraint value of the AC side of the distributed photovoltaic inverter in the analyzed area is calculated as follows:

[0032]

[0033] In the formula, S inverter,constraintThis represents the rated capacity constraint value of the AC side of the distributed photovoltaic inverter in the analyzed region;

[0034] The capacity ratio constraint after installing distributed photovoltaic (PV) systems on all available areas in the analyzed region is calculated:

[0035]

[0036] In the formula, β constraint This represents the distributed photovoltaic capacity ratio constraint for the analyzed region, and this value is also the maximum capacity ratio for the analyzed region.

[0037] In one embodiment of the present invention, the specific implementation method for establishing an objective function based on the remaining development ratio of distributed photovoltaic DC-side modules and the remaining development ratio of inverter AC-side capacity, and evaluating the rationality of future distributed photovoltaic development schemes and making suggestions based on the objective function value is as follows:

[0038] Based on the current distributed photovoltaic capacity ratio in the analyzed regions, the following evaluation and analysis of subsequent distributed photovoltaic development plans are presented:

[0039] (1) If β < β constraint If the current capacity ratio is less than the capacity ratio constraint value, it means that the rated capacity of the AC side of the current inverter is too high. When developing distributed photovoltaics in the future, the inverter capacity should be appropriately reduced and the capacity ratio increased in order to reduce the cost of distributed photovoltaics while meeting the development and utilization needs of distributed photovoltaics.

[0040] (2) If β≥β constraint If the current capacity ratio is greater than the capacity ratio constraint value, it means that the rated capacity of the AC side of the current inverter is too low. When developing distributed photovoltaics in the future, the inverter capacity should be appropriately increased and the capacity ratio reduced to meet the needs of distributed photovoltaic development and utilization.

[0041] The remaining development ratio δ of distributed photovoltaic DC-side modules and the remaining development ratio γ of inverter AC-side capacity are calculated as follows:

[0042]

[0043]

[0044] The objective function F is defined as follows:

[0045]

[0046] According to the analysis:

[0047] ① When the objective function value F > 1, it indicates that the capacity ratio is low in the current development of distributed photovoltaic power generation, and the capacity ratio needs to be increased in the subsequent development of distributed photovoltaic power generation.

[0048] ② When the objective function value F < 1, it indicates that the capacity ratio is too high in the current development of distributed photovoltaic power generation, and the capacity ratio needs to be appropriately reduced in the subsequent development of distributed photovoltaic power generation.

[0049] ③ When F = 1, it indicates that the development of distributed photovoltaic power is in line with the medium- and long-term development of distributed photovoltaic power in the analyzed region.

[0050] Compared with the prior art, the present invention has the following beneficial effects: the method of the present invention can provide theoretical analysis basis for power grid planners and distributed photovoltaic development, can better plan the future development of distributed photovoltaic, and has very important engineering practical significance. Detailed Implementation

[0051] The technical solution of the present invention will now be described in detail.

[0052] This invention provides a method for evaluating distributed photovoltaic (PV) development schemes based on radiation energy data. First, based on radiation energy data measured by NASA, the radiation energy per square meter of a region is analyzed and calculated. Then, considering the area of ​​PV installation and the conversion efficiency of PV panels in converting radiation energy into electrical energy, the power generation per square meter of PV is calculated. Based on the area of ​​the region where PV can be installed and the conversion efficiency of the distributed PV DC-side components after inverter operation, the total annual PV power generation of the analyzed region is calculated. Finally, the annual power generation of the analyzed region with distributed PV and the rated AC installed capacity of inverters over the past five years are statistically analyzed to calculate the maximum utilization hours and average utilization hours of distributed PV over the past five years. The analysis process involves several steps: first, calculating the maximum utilization hours and the existing capacity ratio of distributed photovoltaic (PV) systems; second, calculating the average power per square meter of distributed PV modules based on the DC-side capacity and installed area of ​​distributed PV in the analyzed region; third, calculating the capacity of DC-side distributed PV modules that can be installed in the analyzed region; fourth, calculating the rated capacity constraint of the AC side of the distributed PV inverter in the analyzed region and the capacity ratio constraint after all areas in the analyzed region that can be equipped with distributed PV systems are covered with distributed PV systems; fifth, establishing an objective function based on the remaining development ratio of DC-side distributed PV modules and the remaining development ratio of AC-side inverter capacity; and finally, evaluating the rationality of future distributed PV development plans and making recommendations based on the objective function value.

[0053] The following is a detailed implementation process of the present invention.

[0054] 1. Based on NASA's measured data, the enormous energy potential of solar energy is demonstrated. The cumulative daily radiation energy of the analyzed region can be obtained from the NASA website. By summing these values, the annual radiation energy can be obtained. The average annual radiation energy of the analyzed region over the past 5 years is shown in the following formula.

[0055]

[0056] In the formula, W ave This represents the average annual radiation energy per square meter in the region over the past 5 years (MJ / m²). 2 W i This represents the annual radiation energy per square meter in the region in year i (MJ / m²). 2 ), i∈(1,5).

[0057] 2. Calculation based on common assumptions: If 50% of the area is covered by photovoltaic panels, and the conversion efficiency of photovoltaic panels in converting radiant energy into electrical energy is α, then the average annual power generation per square meter is W. electric As shown in the formula below, the unit is kWh.

[0058]

[0059] In the formula, W electric This represents the average annual power generation per square meter in the region, and α represents the conversion efficiency of the photovoltaic panel in converting radiant energy into electrical energy.

[0060] 3. Based on the area where distributed photovoltaic power can be installed, the annual power generation of distributed photovoltaic power in the region is calculated as shown in the following formula.

[0061] W annual,electric =W electric ·S PV,square ·η·λ (3)

[0062] In the formula, S PV,square W represents the area in the region where distributed photovoltaic power can be installed. annual,electric η represents the annual power generation of distributed photovoltaic (PV) in the region, η represents the conversion efficiency of the DC-side PV module power after passing through the inverter, and λ represents the output simultaneity rate of distributed PV in the region.

[0063] 4. Statistically analyze the annual power generation of distributed photovoltaic (PV) systems and the rated installed capacity of AC inverters in the region over the past 5 years. Then, calculate the maximum utilization hours of distributed PV systems over the past 5 years, and then calculate the average maximum utilization hours of distributed PV systems and the capacity ratio of existing distributed PV systems over the past 5 years, as shown in the following formula.

[0064]

[0065]

[0066]

[0067] In the formula, T i,max W represents the maximum utilization hours of distributed photovoltaic power in the region in year i. i,annual,electric S represents the annual distributed photovoltaic power generation in region i-th year. i,inverter,PVT represents the rated AC capacity of the inverter for distributed photovoltaic systems in the i-th year of the region. ave,max This represents the average maximum utilization hours of distributed photovoltaic (PV) systems in the region over the past 5 years. β represents the distributed PV capacity ratio, S current,DC,PV This indicates the current module capacity of distributed photovoltaic systems on the DC side in the region, S current,inverter,PV This indicates the current AC-side rated capacity of distributed photovoltaic inverters in the region.

[0068] 5. Based on the capacity of distributed photovoltaic modules on the DC side and the installed area of ​​distributed photovoltaic in this region, the average power of distributed photovoltaic modules per square meter is calculated as shown in the following formula.

[0069]

[0070] In the formula, S PV,square,meter This indicates the capacity of distributed photovoltaic DC-side modules installed per square meter in the region, S current,PV,square This indicates the area where distributed photovoltaic systems have been installed.

[0071] 6. Therefore, based on the above analysis, the capacity of distributed photovoltaic DC modules that can be installed in this region can be calculated, as shown in the following formula.

[0072] S DC,PV =S PV,square,meter ·S PV,square (8)

[0073] In the formula, S DC,PV This indicates the capacity of the region where distributed photovoltaic DC-side modules can be installed.

[0074] 7. Annual power generation W based on distributed photovoltaic power generation in this region. annual,electric And the average number of maximum utilization hours of distributed photovoltaic power in the region over the past 5 years (T) ave,max The rated capacity constraint value of the AC side of the distributed photovoltaic inverter in this region is calculated as shown in the following formula.

[0075]

[0076] In the formula, S inverter,constraint This indicates the rated capacity constraint value of the AC side of the distributed photovoltaic inverter in this region.

[0077] 8. Based on step 7, calculate the capacity ratio constraint after all areas in the region that can be equipped with distributed photovoltaics are laid with distributed photovoltaics.

[0078]

[0079] In the formula, β constraint This indicates the capacity ratio constraint for distributed photovoltaic systems in the region, and this value is also the maximum capacity ratio for the region.

[0080] 9. Based on the current distributed photovoltaic capacity ratio in the region, an evaluation and analysis of subsequent distributed photovoltaic development plans is conducted, as shown below.

[0081] (1) If β < β constraint If the current capacity ratio is less than the capacity ratio constraint value, it means that the rated capacity of the AC side of the current inverter is too high. When developing distributed photovoltaics in the future, the inverter capacity should be appropriately reduced and the capacity ratio increased in order to reduce the cost of distributed photovoltaics while meeting the needs of distributed photovoltaic development and utilization.

[0082] (2) If β≥β constraint If the current capacity ratio is greater than the capacity ratio constraint value, it means that the rated capacity of the AC side of the current inverter is too low. When developing distributed photovoltaics in the future, the inverter capacity should be appropriately increased and the capacity ratio reduced to meet the needs of distributed photovoltaic development and utilization.

[0083] The remaining development ratio δ of the current distributed photovoltaic DC side modules and the remaining development ratio γ of the inverter AC side capacity are calculated as shown in the following formula.

[0084]

[0085]

[0086] 10. Establish the objective function F, as shown in the following formula.

[0087]

[0088] According to the analysis:

[0089] ① When the objective function value F > 1, it indicates that the capacity ratio is low in the current development of distributed photovoltaics, and the capacity ratio needs to be increased in the subsequent development of distributed photovoltaics.

[0090] ② When the objective function value F < 1, it indicates that the capacity ratio is too high in the current distributed photovoltaic development, and the capacity ratio needs to be appropriately reduced in the subsequent distributed photovoltaic development.

[0091] ③ When F = 1, it indicates that the development of distributed photovoltaic power is in line with the medium- and long-term development of distributed photovoltaic power in the region.

[0092] The above are preferred embodiments of the present invention. Any changes made to the technical solution of the present invention that do not exceed the scope of the technical solution of the present invention shall fall within the protection scope of the present invention.

Claims

1. A method for evaluating distributed photovoltaic development schemes based on radiation energy data, characterized in that, First, based on NASA's measured radiation energy data, the radiation energy per square meter of the area is analyzed and calculated; then, considering the area of ​​photovoltaic installation and the conversion efficiency of photovoltaic panels in converting radiation energy into electrical energy, the power generation per square meter of photovoltaic is calculated. The annual photovoltaic power generation of the analyzed region is calculated based on the area where photovoltaic power can be installed and the conversion efficiency of the DC-side components of distributed photovoltaic power after inverter installation. The annual power generation of distributed photovoltaic power and the rated installed capacity of the AC-side inverters in the analyzed region over the past five years are statistically analyzed to calculate the maximum utilization hours, average maximum utilization hours, and existing capacity ratio of distributed photovoltaic power over the past five years. Then, based on the capacity of DC-side distributed photovoltaic components and the area of ​​installed distributed photovoltaic power in the analyzed region, the average power per square meter of distributed photovoltaic components is calculated, thereby calculating the capacity of DC-side distributed photovoltaic components that can be installed in the analyzed region. Finally, the rated capacity constraint value of the AC-side inverters for distributed photovoltaic power in the analyzed region and the capacity ratio constraint after all the areas where distributed photovoltaic power can be installed in the analyzed region are calculated. An objective function is established based on the remaining development ratio of DC-side distributed photovoltaic components and the remaining development ratio of AC-side inverter capacity. The rationality of future distributed photovoltaic development plans is evaluated based on the objective function value, and suggestions are made. The specific method for analyzing and calculating the radiation energy per square meter of a region based on NASA-measured radiation energy data is as follows: Based on NASA's measured data, the enormous energy potential of solar energy is shown. The cumulative daily radiation energy of the analyzed area is obtained from NASA's website, and by summing them up, the annual radiation energy can be obtained. The average annual radiation energy of the analyzed region over the past 5 years is shown in the following formula: (1) In the formula, This represents the average annual radiation energy per square meter in the analyzed area over the past 5 years. This represents the annual radiation energy per square meter in the region analyzed in year i. ; The power generation per square meter of photovoltaic power is calculated based on the area of ​​photovoltaic installation and the conversion efficiency of photovoltaic panels in converting radiant energy into electrical energy. The specific implementation method for calculating the annual photovoltaic power generation of the analyzed region based on the area where photovoltaic power can be installed and the conversion efficiency of the distributed photovoltaic DC-side components after inverter conversion is as follows: With photovoltaic panels covering 50% of the area, the conversion efficiency of radiant energy into electrical energy is... The average annual power generation per square meter is... As shown in the following formula: (2) In the formula, This represents the average annual power generation per square meter in the analyzed area. This indicates the conversion efficiency of a photovoltaic panel in converting radiant energy into electrical energy. Based on the area where distributed photovoltaic power can be installed, the annual power generation of distributed photovoltaic power in the analyzed area is calculated as follows: (3) In the formula, This indicates the area in the analyzed region where distributed photovoltaic power can be installed. This represents the annual power generation of distributed photovoltaic power in the analyzed region. This indicates the conversion efficiency of the distributed photovoltaic DC-side module power after passing through the inverter. This indicates the simultaneous output rate of distributed photovoltaic power in the analyzed region.

2. The method for evaluating distributed photovoltaic development schemes based on radiation energy data according to claim 1, characterized in that, The statistics analyze the annual power generation of distributed photovoltaic (PV) systems and the rated installed capacity of inverters on the AC side of the region over the past five years. The specific implementation methods for calculating the maximum utilization hours of distributed PV systems, the average maximum utilization hours of distributed PV systems over the past five years, and the existing capacity ratio of distributed PV systems are as follows: The annual power generation of distributed photovoltaic (PV) systems and the rated installed capacity of inverters on the AC side of the analyzed region over the past five years were statistically analyzed. The maximum utilization hours of distributed PV systems over the past five years were then calculated. Finally, the average maximum utilization hours of distributed PV systems and the existing capacity ratio of distributed PV systems over the past five years were calculated, as shown in the following formula: (4) (5) (6) In the formula, This represents the maximum utilization hours of distributed photovoltaic power in the region in year i. Let represent the annual distributed photovoltaic power generation of the region in year i. This represents the rated capacity of the AC side of the inverter in the i-th year of the regional distributed photovoltaic system. This represents the average of the maximum utilization hours of distributed photovoltaic power in the analyzed region over the past 5 years. Indicates the capacity ratio of distributed photovoltaic power generation. This indicates the current module capacity of distributed photovoltaic systems on the DC side in the analyzed region. This indicates the current AC-side rated capacity of distributed photovoltaic inverters in the analyzed region.

3. The method for evaluating distributed photovoltaic development schemes based on radiation energy data according to claim 2, characterized in that, The specific implementation method for calculating the average power per square meter of distributed photovoltaic modules based on the capacity of DC-side distributed photovoltaic modules and the installed area of ​​distributed photovoltaic in the analyzed region is as follows: Based on the DC-side distributed photovoltaic module capacity and installed area of ​​the analyzed region, the average power per square meter of distributed photovoltaic modules is calculated as follows: (7) In the formula, This indicates the capacity of distributed photovoltaic DC-side modules installed per square meter in the analyzed area. This indicates the area where distributed photovoltaic systems have been installed in the currently analyzed region; The calculated capacity of distributed photovoltaic DC modules that can be installed in the analyzed area is shown in the following formula: (8) In the formula, This indicates the capacity of the analyzed region to install distributed photovoltaic DC-side modules.

4. The method for evaluating distributed photovoltaic development schemes based on radiation energy data according to claim 3, characterized in that, The specific implementation methods for calculating the rated capacity constraint value of the AC side of the distributed photovoltaic inverter in the analyzed area and the capacity ratio constraint after all the areas in the analyzed area that can be equipped with distributed photovoltaics are laid are as follows: Based on the annual power generation of distributed photovoltaic power in the analyzed region The average maximum utilization hours of distributed photovoltaic power in the analyzed regions over the past 5 years The rated capacity constraint value of the AC side of the distributed photovoltaic inverter in the analyzed area is calculated as follows: (9) In the formula, This represents the rated capacity constraint value of the AC side of the distributed photovoltaic inverter in the analyzed region; The capacity ratio constraint after installing distributed photovoltaic (PV) systems on all available areas in the analyzed region is calculated: (10) In the formula, This represents the distributed photovoltaic capacity ratio constraint for the analyzed region, and this value is also the maximum capacity ratio for the analyzed region.

5. The method for evaluating distributed photovoltaic development schemes based on radiation energy data according to claim 4, characterized in that, The specific implementation method for establishing an objective function based on the remaining development ratio of distributed photovoltaic DC-side modules and the remaining development ratio of inverter AC-side capacity, and evaluating the rationality of future distributed photovoltaic development schemes and proposing suggestions based on the objective function value is as follows: Based on the current distributed photovoltaic capacity ratio in the analyzed regions, the following evaluation and analysis of subsequent distributed photovoltaic development plans are presented: (1) If If the current capacity ratio is less than the capacity ratio constraint value, it means that the rated capacity of the current inverter AC side is too high. When developing distributed photovoltaics in the future, the inverter capacity should be appropriately reduced and the capacity ratio increased in order to reduce the cost of distributed photovoltaics while meeting the needs of distributed photovoltaic development and utilization. (2) If If the current capacity ratio is greater than the capacity ratio constraint value, it means that the rated capacity of the AC side of the current inverter is too low. When developing distributed photovoltaics in the future, the inverter capacity should be appropriately increased and the capacity ratio reduced to meet the needs of distributed photovoltaic development and utilization. Calculate the remaining development ratio of distributed photovoltaic DC side modules. Remaining development ratio of inverter AC side capacity As shown in the following formula: (11) (12) The objective function F is defined as follows: (13) According to the analysis: ① When the objective function value This indicates that the capacity-to-sizing ratio is relatively low in the current development of distributed photovoltaic power, and the capacity-to-sizing ratio needs to be increased in future development of distributed photovoltaic power. ② When the objective function value This indicates that the capacity ratio is relatively high in the current development of distributed photovoltaic power, and the capacity ratio needs to be appropriately reduced in the future development of distributed photovoltaic power. ③When This indicates that the development of distributed photovoltaic power is in line with the medium- and long-term development of distributed photovoltaic power in the analyzed region.

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