Photovoltaic power station site selection method, device and equipment based on energy value analysis and GIS, and medium

Abstract

The invention discloses a photovoltaic power station site selection method, device, equipment and medium based on energy value analysis and a GIS (Geographic Information System), and aims to quantify resource consumption, carbon emission and land occupation cost of photovoltaic power station construction by constructing a full-period construction energy value index system and effectively solve the problems that a traditional site selection method depends on subjective weighting and ecological cost is omitted. The scientificity of site selection decision and the environmental compatibility are improved, and the project development risk is reduced. Besides, dynamic geographical constraint screening and photovoltaic power station energy value evaluation calculation are adopted, compared with a traditional site selection method based on a complex optimization algorithm, calculation resource consumption is remarkably reduced, the method is particularly suitable for remote areas or computing power limited scenes, rapid analysis and scheme output can be achieved in a low-configuration hardware environment, and photovoltaic power station planning efficiency is improved.

Description

Technical Field

[0001] The present invention relates to photovoltaic power grid technology, and in particular to a photovoltaic power station site selection method, device, equipment and medium based on energy value analysis and GIS. Background Art

[0002] Photovoltaic power generation is a technology that uses the photovoltaic effect at the interface of semiconductors to directly convert light energy into electrical energy. With the urgent need to transform the global energy structure, photovoltaic power generation has become a highly favored clean energy source.

[0003] With the large-scale development of photovoltaic power plants, land resource constraints, complex ecological impacts, and conflicts between economic benefits and environmental protection goals have become increasingly prominent. How to achieve efficient energy development while ensuring ecological security has become a key issue that needs to be addressed.

[0004] Traditional methods for selecting sites for photovoltaic power stations mainly rely on multi-criteria decision-making methods combined with geographic information systems (GIS), assigning different weights based on expert experience to generate development suitability maps. However, this type of method has significant flaws: First, subjective weighting leads to large deviations in the evaluation results. Because the weight allocation is highly dependent on expert experience, different evaluation entities have large differences in the scores for the same plot of land. Second, existing technologies are unable to quantify implicit ecological costs. Traditional models can only qualitatively evaluate explicit indicators such as land type and slope, and lack the means to quantify implicit ecological costs such as carbon emissions during component production, long-distance transmission losses, and loss of land vegetation carbon sequestration capacity. Summary of the Invention

[0005] The present invention provides a photovoltaic power station site selection method, device, equipment and medium based on energy value analysis and GIS, which solves the problems of traditional site selection methods relying on subjective empowerment and omitting ecological costs, improves the scientific nature and environmental compatibility of site selection decisions, and reduces project development risks.

[0006] In a first aspect, the present invention provides a photovoltaic power station site selection method based on emergy analysis and GIS, comprising:

[0007] Obtain geographic environment data, solar radiation data, and infrastructure data for the target area;

[0008] Based on the geographic environment data, the target area is divided into a plurality of regional pixels, and regional pixels that are not suitable for development are excluded from the target area;

[0009] Calculate the investment cost and equivalent energy efficiency of each pixel in the region for constructing a photovoltaic power station based on the geographical environment data, the solar radiation data, and the infrastructure data;

[0010] Calculating the output equivalent energy value of the photovoltaic power station based on the predetermined annual power generation of the photovoltaic power station;

[0011] Calculating the quotient of the output equivalent energy value and the input cost equivalent energy value as a site selection evaluation index;

[0012] The regional pixel with the highest site selection evaluation index is used as the site selection location of the photovoltaic power station.

[0013] Optionally, the input cost includes production resource cost, transportation cost, power transmission loss cost, and land resource occupation cost. Calculating the input cost and other efficiency values ​​of constructing a photovoltaic power station for each pixel in the region based on the geographic environment data, the solar radiation data, and the infrastructure data includes:

[0014] The cost of production resources and other emergy values ​​are calculated based on the amount of material input per unit area, the emergy conversion efficiency of the material, the labor cost per unit area, the monetary emergy conversion rate and the input ratio of additional equipment;

[0015] Calculate the transport cost and other emergy values ​​based on the geographical distance between the pixels in the area and the nearest existing road, the emergy conversion rate of the road construction, the photovoltaic installed capacity of the plot, the peak power of a single module, the number of modules transported per vehicle, the energy consumption of the tractor, the energy density of the transport vehicle, and the energy emergy conversion rate of the transport vehicle;

[0016] Calculate the power transmission loss cost and other energy values ​​based on the distance between the pixel in the area and the nearest substation, the cross-sectional area of ​​the conductor, the annual average active power of the photovoltaic power station, the density of the conductor, the energy conversion rate of the conductor, the amount of steel used in the poles, the energy conversion rate of the steel, the annual power generation of the photovoltaic power station, the installation area of ​​the photovoltaic modules, the annual total radiation of the inclined surface, and the photoelectric conversion efficiency of the photovoltaic modules;

[0017] Calculate the land resource occupation cost and other energy values ​​based on the battlefield area of ​​the photovoltaic power station, the annual carbon sequestration per unit area, the carbon sequestration energy conversion rate, and the ecological years of land occupation;

[0018] The sum of the efficiency values ​​of production resource cost, transportation cost, power transmission loss cost and land resource occupation cost is calculated as the efficiency value of the input cost of constructing a photovoltaic power station in each pixel in the area.

[0019] Optionally, the calculation formula for the cost-effectiveness value of production resources is:

[0020]

[0021] In the above formula, E o is the production resource cost equivalent energy value (sej); S is the photovoltaic installation area (m 2 );M iThe amount of material per unit area input (g / m 2 );V i is the energy conversion rate of the i-th substance (sej / g); C L is the labor cost per unit area (￥ / m 2 );C R is the monetary emergy conversion rate (sej / ￥); α is the investment ratio of additional equipment.

[0022] Optionally, the calculation formula for the transport cost equivalent energy value is:

[0023]

[0024] In the above formula, E road is the transport cost equivalent energy value (sej); D road is the geographical distance between the regional pixel and the nearest existing road (km); V road is the energy conversion rate of road construction (unit: sej / km); C is the photovoltaic installed capacity of the plot (unit: W), calculated from the area and power of the photovoltaic modules; C p is the peak power of a single component (W); F v is the transport volume of components per vehicle (units / vehicle); Q s is the energy consumption of the tractor (L / km); ρ f is the energy density of the transport vehicle (kg / L); V f is the energy value conversion rate of the transport vehicle (sej / kg).

[0025] Optionally, the calculation formula for the power transmission loss cost is:

[0026] E loss =E power +E q ;

[0027] E power =D s ·(ρ cu ·s·V cu +M fe ·V fe );

[0028]

[0029] P pv =S pv ·G ghi ·η·K;

[0030] In the above formula, E loss is the cost-effectiveness value of power transmission loss, E power is the cost-effectiveness of power transmission line loss (sej); E qis the power plant loss cost equivalent energy value (sej); D s is the distance between the regional pixel and the nearest substation (km); s is the cross-sectional area of ​​the conductor (mm 2 ); p is the average annual active power of the photovoltaic power station (kW), Q is the line heat loss; P0 is the heat loss of the substation; η n is the network loss rate; V e is the thermal power generation energy conversion rate (sej / kg); ρ cu is the density of the wire (g / cm 3 );V cu is the energy conversion rate of the conductor (sej / kg); M fe is the steel consumption of the pole (kg / km); V fe is the energy conversion rate of steel (sej / kg); P pv is the annual power generation of the photovoltaic power station; S pv is the installation area of ​​PV panels (unit: m 2 );G ghi is the annual total radiation of the inclined surface (unit: kW·h / m 2 / year); η is the photoelectric conversion efficiency of the photovoltaic module; K is the system comprehensive efficiency coefficient.

[0031] Optionally, the calculation formula for land resource occupation cost is:

[0032] E land =A c ·X c ·Z c ·Y

[0033] In the above formula, E land is the land resource occupation cost equivalent energy value (sej); A c is the floor area (m 2 );X c is the annual carbon sequestration per unit area (tC / m 2 );Z c is the carbon sequestration energy conversion rate (sej / tC); Y is the ecological life of land occupation (years).

[0034] Optionally, the calculation formula for the site selection evaluation index is:

[0035]

[0036] In the above formula, E evaluate Y is the site selection evaluation index; pv E is the operating life of the photovoltaic power station (years); o is the cost-effectiveness value of production resources (sej); E out is the output equivalent energy value (sej); E roadis the transport cost equivalent energy value (sej); E power is the cost-effectiveness of power transmission line loss (sej); E q is the cost-effectiveness value of the power station (sej); Y is the ecological life of land occupation (year); E land is the cost-effectiveness value of land resource occupation (sej).

[0037] In a second aspect, the present invention further provides a photovoltaic power station site selection device based on energy value analysis and GIS, comprising:

[0038] Data acquisition module, used to obtain geographical environment data, solar radiation data, and infrastructure data of the target area;

[0039] A pixel processing module, configured to divide the target area into a plurality of regional pixels based on the geographic environment data, and exclude regional pixels that are not suitable for development from the target area;

[0040] An input cost equivalent energy value calculation module, configured to calculate an input cost equivalent energy value for constructing a photovoltaic power station for each pixel in the region based on the geographical environment data, the solar radiation data, and the infrastructure data;

[0041] An output equivalent energy value calculation module, configured to calculate the output equivalent energy value of the photovoltaic power station based on the predetermined annual power generation of the photovoltaic power station;

[0042] A site selection evaluation index calculation module, used to calculate the output equivalent energy value and the input cost equivalent energy value quotient as a site selection evaluation index;

[0043] The site selection location determination module is used to select the regional pixel with the highest site selection evaluation index as the site selection location of the photovoltaic power station.

[0044] In a third aspect, the present invention further provides an electronic device, comprising:

[0045] one or more processors;

[0046] a storage device for storing one or more programs;

[0047] When the one or more programs are executed by the one or more processors, the one or more processors implement the photovoltaic power station site selection method based on energy value analysis and GIS as provided in the first aspect of the present invention.

[0048] In a fourth aspect, the present invention further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the photovoltaic power station site selection method based on energy value analysis and GIS as provided in the first aspect of the present invention.

[0049] The photovoltaic power station site selection method based on energy value analysis and GIS provided by the present invention obtains the geographical environment data, solar radiation data, and infrastructure data of the target area. Based on the geographical environment data, the target area is divided into multiple regional pixels, and regional pixels that are not suitable for development are excluded from the target area. The input cost equivalent energy value of each regional pixel for constructing a photovoltaic power station is calculated based on the geographical environment data, solar radiation data, and infrastructure data. The output equivalent energy value of the photovoltaic power station is calculated based on the annual power generation of the photovoltaic power station. The quotient of the output equivalent energy value and the input cost equivalent energy value is calculated as the site selection evaluation index. The regional pixel with the highest site selection evaluation index is selected as the site of the photovoltaic power station. By constructing a full-cycle construction energy value index system, the present invention quantifies the resource consumption, carbon emissions, and land occupation costs of photovoltaic power station construction, effectively solving the problems of traditional site selection methods relying on subjective empowerment and omitting ecological costs, improving the scientific nature and environmental compatibility of site selection decisions, and reducing project development risks. In addition, the use of dynamic geographic constraint screening and photovoltaic power station energy value assessment calculation significantly reduces computing resource consumption compared to traditional site selection methods based on complex optimization algorithms. It is especially suitable for remote areas or scenarios with limited computing power. It can achieve rapid analysis and solution output in low-configuration hardware environments, thereby improving the efficiency of photovoltaic power station planning.

[0050] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present invention, nor is it intended to limit the scope of the present invention. Other features of the present invention will become readily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0052] Figure 1 A flowchart of a photovoltaic power station site selection method based on energy value analysis and GIS provided by the present invention;

[0053] Figure 2 A schematic diagram of the structure of a photovoltaic power station site selection device based on energy value analysis and GIS provided by the present invention;

[0054] Figure 3 A schematic structural diagram of an electronic device provided by an embodiment of the present invention.

[0055] The above drawings illustrate specific embodiments of the present application, which will be described in more detail below. These drawings and the textual description are not intended to limit the scope of the present application in any way, but rather to illustrate the concepts of the present application to those skilled in the art by reference to specific embodiments. DETAILED DESCRIPTION

[0056] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of the present invention.

[0057] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0058] Figure 1 This is a flow chart of a photovoltaic power station site selection method based on emergy analysis and GIS provided by the present invention. This embodiment can quantify the resource consumption, carbon emissions and land occupation costs of photovoltaic power station construction by constructing a full-cycle construction emergy index system, effectively solving the problems of traditional site selection methods relying on subjective empowerment and omitting ecological costs, improving the scientific nature and environmental compatibility of site selection decisions, and reducing project development risks. This method can be executed by the photovoltaic power station site selection device based on emergy analysis and GIS provided by the present invention. The device can be implemented by software and / or hardware and is usually configured in an electronic device, such as Figure 1 As shown in FIG, the photovoltaic power station site selection method based on emergy analysis and GIS includes the following steps:

[0059] S101. Obtain geographic environment data, solar radiation data, and infrastructure data of a target area.

[0060] In an embodiment of the present invention, geographical environment data, solar radiation data, and infrastructure data of a target area are obtained, wherein the geographical environment data can be obtained through a geographic information system (GIS).

[0061] Geographic environment data includes surface type, terrain slope, and the boundaries of ecologically sensitive areas. Terrain slope is calculated using a digital elevation model (DEM). Solar radiation data can include the annual average radiation intensity of the target area. Infrastructure data can include transportation network scores, power access point data, and urban built-up area distribution data.

[0062] S102. Divide the target area into a plurality of regional pixels based on the geographic environment data, and exclude regional pixels that are not suitable for development from the target area.

[0063] In an embodiment of the present invention, the target area can be divided into multiple regional pixels based on geographic data, with each regional pixel sized to accommodate the deployment of a photovoltaic power plant. Regional pixels unsuitable for development are then excluded from the target area. Specifically, these regional pixels can include ecological function protection zones and national nature reserves. Furthermore, slopes are calculated using DEM data, with regional pixels with slopes ≥ 25° excluded.

[0064] S103. Calculate the investment cost and other efficiency values ​​of constructing a photovoltaic power station for each regional pixel based on the geographical environment data, solar radiation data, and infrastructure data.

[0065] In this embodiment of the present invention, the cost-effectiveness of constructing a photovoltaic power station in each regional pixel is calculated based on the geographic environment data, solar radiation data, and infrastructure data. Specifically, the cost-effectiveness of constructing a photovoltaic power station in each regional pixel is converted to energy value based on the geographic environment data, solar radiation data, and infrastructure data.

[0066] In some embodiments of the present invention, the input cost includes production resource cost, transportation cost, power transmission loss cost and land resource occupation cost, and the input cost equivalent energy value includes production resource cost equivalent energy value, transportation cost equivalent energy value, power transmission loss cost equivalent energy value and land resource occupation cost equivalent energy value.

[0067] In some embodiments of the present invention, the calculation process of the investment cost equivalent energy value of constructing a photovoltaic power station for each regional pixel is as follows:

[0068] S1031. Calculate the production resource cost and other energy values ​​based on the amount of material input per unit area, the energy conversion efficiency of the material, the labor cost per unit area, the monetary energy conversion rate, and the input ratio of additional equipment.

[0069] In an embodiment of the present invention, the production resource cost includes the amount of material input per unit area, the labor cost per unit area, and the input of additional equipment. The amount of material input per unit area, the labor cost per unit area, and the additional equipment can be converted into equivalent energy values, respectively, and accumulated to obtain the equivalent energy value of the production resource cost.

[0070] For example, the calculation formula of the production resource cost and other efficiency values ​​is:

[0071]

[0072] In the above formula, E o is the production resource cost equivalent energy value (sej); S is the photovoltaic installation area (m 2 );M i The amount of material per unit area input (g / m 2 );V i is the energy conversion rate of the i-th substance (sej / g); C L is the labor cost per unit area (￥ / m 2 );C R is the monetary emergy conversion rate (sej / ￥); α is the investment ratio of additional equipment.

[0073] S1032. Calculate the transport cost and other energy efficiency values ​​based on the geographical distance between the regional pixel and the nearest existing road, the energy conversion rate of road construction, the photovoltaic installed capacity of the plot, the peak power of a single module, the module transportation volume per vehicle, the energy consumption of the tractor, the energy density of the transport vehicle and the energy-energy conversion rate of the transport vehicle.

[0074] In an embodiment of the present invention, the transportation cost needs to comprehensively consider multiple factors such as the geographical distance between the regional pixel and the nearest existing road, the photovoltaic installed capacity of the plot, the peak power of a single module, the module transportation volume per vehicle, the energy consumption of the tractor, the energy density of the transport vehicle, etc., and the transportation cost is converted into an equivalent energy value based on the above factors.

[0075] For example, the calculation formula of the transport cost equivalent energy value is:

[0076]

[0077] In the above formula, E road is the transport cost equivalent energy value (sej); D road is the geographical distance between the regional pixel and the nearest existing road (km); V road is the energy conversion rate of road construction (unit: sej / km); C is the photovoltaic installed capacity of the plot (unit: W), calculated from the area and power of the photovoltaic modules; C p is the peak power of a single component (W); F v is the transport volume of components per vehicle (units / vehicle); Qs is the energy consumption of the tractor (L / km); ρ f is the energy density of the transport vehicle (kg / L); V f is the energy value conversion rate of the transport vehicle (sej / kg).

[0078] S1033. Calculate the cost of power transmission loss and other energy values ​​based on the distance between the regional pixel and the nearest substation, the cross-sectional area of ​​the conductor, the annual average active power of the photovoltaic power station, the density of the conductor, the energy conversion rate of the conductor, the amount of steel used in the poles, the energy conversion rate of the steel, the annual power generation of the photovoltaic power station, the installation area of ​​the photovoltaic modules, the annual total radiation of the inclined surface, and the photoelectric conversion efficiency of the photovoltaic modules.

[0079] In an embodiment of the present invention, power transmission loss costs may include power transmission line loss costs and power station loss costs. Power transmission loss costs are the costs incurred by line losses between the photovoltaic power station and the nearest substation, and power station loss costs are the costs incurred by heat losses between the photovoltaic power station and the nearest substation. Power transmission loss costs are related to the distance between the regional pixel and the nearest substation, the cross-sectional area of ​​the conductors, the density of the conductors, the energy conversion rate of the conductors, the amount of steel used in the poles, and the energy conversion rate of the steel. Power station loss costs are related to the annual power generation of the photovoltaic power station, line heat loss, substation heat loss, the average annual active power of the photovoltaic power station, the network loss rate, and the energy conversion rate of thermal power generation.

[0080] For example, the calculation formula of the power transmission loss cost equivalent energy value is:

[0081] E loss =E power +E q ;

[0082] E power =D s ·(ρ cu ·s·V cu +M fe ·V fe );

[0083]

[0084] P pv =S pv ·G ghi ·η·K;

[0085] In the above formula, E loss is the cost-effectiveness value of power transmission loss, E power is the cost-effectiveness of power transmission line loss (sej); E q is the power plant loss cost equivalent energy value (sej); D sis the distance between the regional pixel and the nearest substation (km); s is the cross-sectional area of ​​the conductor (mm 2 ); p is the average annual active power of the photovoltaic power station (kW), Q is the line heat loss; P0 is the heat loss of the substation; η n is the network loss rate; V e is the thermal power generation energy conversion rate (sej / kg); ρ cu is the density of the wire (g / cm 3 );V cu is the energy conversion rate of the conductor (sej / kg); M fe is the steel consumption of the pole (kg / km); V fe is the energy conversion rate of steel (sej / kg); P pv is the annual power generation of the photovoltaic power station; S pv is the installation area of ​​PV panels (unit: m 2 );G ghi is the annual total radiation of the inclined surface (unit: kW·h / m 2 / year); η is the photoelectric conversion efficiency of the photovoltaic module; K is the system comprehensive efficiency coefficient.

[0086] S1034. Calculate the cost of land resource occupation and other energy values ​​based on the site area of ​​the photovoltaic power station, the annual carbon sequestration per unit area, the carbon sequestration energy conversion rate, and the ecological years of land occupation.

[0087] In an embodiment of the present invention, the land resource occupation cost is related to the battlefield area of ​​the photovoltaic power station, the annual carbon sequestration per unit area and the ecological years of land occupation. The land resource occupation cost is calculated based on the battlefield area of ​​the photovoltaic power station, the annual carbon sequestration per unit area and the ecological years of land occupation, and is converted into energy efficiency value.

[0088] For example, the calculation formula for land resource occupation cost is:

[0089] E land =A c ·X c ·Z c ·Y

[0090] In the above formula, E land is the land resource occupation cost equivalent energy value (sej); A c is the floor area (m 2 );X c is the annual carbon sequestration per unit area (tC / m 2 );Z c is the carbon sequestration energy conversion rate (sej / tC); Y is the ecological life of land occupation (years).

[0091] S1035. Calculate the sum of the production resource cost equivalent energy value, the transportation cost equivalent energy value, the power transmission loss cost equivalent energy value, and the land resource occupation cost equivalent energy value as the input cost equivalent energy value for constructing a photovoltaic power station in each regional pixel.

[0092] In some embodiments of the present invention, the sum of the efficiency values ​​such as production resource cost, transportation cost, power transmission loss cost, and land resource occupation cost is calculated as the efficiency value of the input cost of constructing a photovoltaic power station in each regional pixel.

[0093] S104: Calculate the output equivalent energy value of the photovoltaic power station based on the planned annual power generation of the photovoltaic power station.

[0094] In the embodiment of the present invention, the output of the photovoltaic power station is related to the predetermined annual power generation of the photovoltaic power station, and the output equivalent energy value of the photovoltaic power station is calculated based on the predetermined annual power generation of the photovoltaic power station.

[0095] For example, the calculation formula for the output equivalent energy value of a photovoltaic power station is:

[0096] E out =P pv ·V f

[0097] In the above formula, E out is the output equivalent energy value of the photovoltaic power station, P pv is the annual power generation of the photovoltaic power station, V f is the energy conversion efficiency of the photovoltaic power station.

[0098] S105. Calculate the quotient of the output equivalent energy value and the input cost equivalent energy value as a site selection evaluation indicator.

[0099] In some embodiments of the present invention, the quotient of the output equivalent energy value and the input cost equivalent energy value is calculated as a site selection evaluation index.

[0100] For example, the calculation formula of the site selection evaluation index is:

[0101]

[0102] In the above formula, E evaluate Y is the site selection evaluation index; pv E is the operating life of the photovoltaic power station (years); o is the cost-effectiveness value of production resources (sej); E out is the output equivalent energy value (sej); E road is the transport cost equivalent energy value (sej); E power is the cost-effectiveness of power transmission line loss (sej); E qis the cost-effectiveness value of the power station (sej); Y is the ecological life of land occupation (year); E land is the cost-effectiveness value of land resource occupation (sej).

[0103] S106. The regional pixel with the highest site selection evaluation index is selected as the site selection location of the photovoltaic power station.

[0104] In the embodiment of the present invention, the regional pixel with the highest site selection evaluation index is used as the site selection location of the photovoltaic power station.

[0105] For example, after calculating the site selection evaluation index of each regional pixel, a thermal map can be generated to identify the site selection evaluation index of each regional pixel, and the area with the highest site selection evaluation index is selected as the high-yield area, that is, the recommended site for the photovoltaic power station.

[0106] The photovoltaic power station site selection method based on energy value analysis and GIS provided by the present invention obtains the geographical environment data, solar radiation data, and infrastructure data of the target area. Based on the geographical environment data, the target area is divided into multiple regional pixels, and regional pixels that are not suitable for development are excluded from the target area. The input cost equivalent energy value of each regional pixel for constructing a photovoltaic power station is calculated based on the geographical environment data, solar radiation data, and infrastructure data. The output equivalent energy value of the photovoltaic power station is calculated based on the annual power generation of the photovoltaic power station. The quotient of the output equivalent energy value and the input cost equivalent energy value is calculated as the site selection evaluation index. The regional pixel with the highest site selection evaluation index is selected as the site of the photovoltaic power station. By constructing a full-cycle construction energy value index system, the present invention quantifies the resource consumption, carbon emissions, and land occupation costs of photovoltaic power station construction, effectively solving the problems of traditional site selection methods relying on subjective empowerment and omitting ecological costs, improving the scientific nature and environmental compatibility of site selection decisions, and reducing project development risks. In addition, the use of dynamic geographic constraint screening and photovoltaic power station energy value assessment calculation significantly reduces computing resource consumption compared to traditional site selection methods based on complex optimization algorithms. It is especially suitable for remote areas or scenarios with limited computing power. It can achieve rapid analysis and solution output in low-configuration hardware environments, thereby improving the efficiency of photovoltaic power station planning.

[0107] Figure 2 The present invention provides a schematic diagram of a photovoltaic power station site selection device based on energy value analysis and GIS, as shown in FIG. Figure 2 As shown, a photovoltaic power station site selection device based on energy value analysis and GIS includes:

[0108] Data acquisition module 201, used to acquire geographical environment data, solar radiation data, and infrastructure data of the target area;

[0109] A pixel processing module 202 is configured to divide the target area into a plurality of regional pixels based on the geographic environment data, and exclude regional pixels that are not suitable for development from the target area;

[0110] An input cost equivalent energy value calculation module 203 is used to calculate the input cost equivalent energy value of constructing a photovoltaic power station for each pixel in the region based on the geographical environment data, the solar radiation data, and the infrastructure data;

[0111] An output equivalent energy value calculation module 204 is configured to calculate the output equivalent energy value of the photovoltaic power station based on the predetermined annual power generation of the photovoltaic power station;

[0112] A site selection evaluation index calculation module 205 is used to calculate the output equivalent energy value and the input cost equivalent energy value quotient as a site selection evaluation index;

[0113] The site selection location determination module 206 is configured to select the regional pixel with the highest site selection evaluation index as the site selection location of the photovoltaic power station.

[0114] In some embodiments of the present invention, the input costs include production resource costs, transportation costs, power transmission loss costs, and land resource occupation costs. The input cost equivalent energy value calculation module 203 includes:

[0115] The production resource cost equivalent energy value calculation unit is used to calculate the production resource cost equivalent energy value based on the amount of material input per unit area, the energy value conversion efficiency of the material, the labor cost per unit area, the monetary energy value conversion rate and the input ratio of additional equipment;

[0116] a transport cost equivalent energy value calculation unit, configured to calculate the transport cost equivalent energy value based on the geographical distance between the regional pixel and the nearest existing road, the energy value conversion rate of the road construction, the photovoltaic installed capacity of the plot, the peak power of a single module, the module transportation volume per vehicle, the energy consumption of the tractor, the energy density of the transport vehicle, and the energy value conversion rate of the transport vehicle;

[0117] a power transmission loss cost equivalent energy value calculation unit, configured to calculate the power transmission loss cost equivalent energy value based on the distance between the regional pixel and the nearest substation, the conductor cross-sectional area, the annual average active power of the photovoltaic power station, the conductor density, the conductor energy conversion rate, the amount of steel used in the poles, the steel energy conversion rate, the annual power generation of the photovoltaic power station, the installation area of ​​the photovoltaic modules, the annual total radiation of the inclined surface, and the photoelectric conversion efficiency of the photovoltaic modules;

[0118] a land resource occupation cost equivalent energy value calculation unit, configured to calculate the land resource occupation cost equivalent energy value based on the battlefield area of ​​the photovoltaic power station, the annual carbon sequestration per unit area, the carbon sequestration energy value conversion rate, and the ecological years of land occupation;

[0119] The input cost equivalent energy value calculation unit is used to calculate the sum of the production resource cost equivalent energy value, the transportation cost equivalent energy value, the power transmission loss cost equivalent energy value and the land resource occupation cost equivalent energy value as the input cost equivalent energy value for constructing a photovoltaic power station in each pixel in the said area.

[0120] In some embodiments of the present invention, the calculation formula for the production resource cost equivalent efficiency value is:

[0121]

[0122] In the above formula, E o is the production resource cost equivalent energy value (sej); S is the photovoltaic installation area (m 2 );M i The amount of material per unit area input (g / m 2 );V i is the energy conversion rate of the i-th substance (sej / g); C L is the labor cost per unit area (￥ / m 2 );C R is the monetary emergy conversion rate (sej / ￥); α is the investment ratio of additional equipment.

[0123] In some embodiments of the present invention, the calculation formula of the transport cost equivalent energy value is:

[0124]

[0125] In the above formula, E road is the transport cost equivalent energy value (sej); D road is the geographical distance between the regional pixel and the nearest existing road (km); V road is the energy conversion rate of road construction (unit: sej / km); C is the photovoltaic installed capacity of the plot (unit: W), calculated from the area and power of the photovoltaic modules; C p is the peak power of a single component (W); F v is the transport volume of components per vehicle (units / vehicle); Q s is the energy consumption of the tractor (L / km); ρ f is the energy density of the transport vehicle (kg / L); V f is the energy value conversion rate of the transport vehicle (sej / kg).

[0126] In some embodiments of the present invention, the calculation formula for the power transmission loss cost equivalent energy value is:

[0127] E loss =E power +E q ;

[0128] Epower =D s ·(ρ cu ·s·V cu +M fe ·V fe );

[0129]

[0130] P pv =S pv ·G ghi ·η·K;

[0131] In the above formula, E loss is the cost-effectiveness value of power transmission loss, E power is the cost-effectiveness of power transmission line loss (sej); E q is the power plant loss cost equivalent energy value (sej); D s is the distance between the regional pixel and the nearest substation (km); s is the cross-sectional area of ​​the conductor (mm 2 ); p is the average annual active power of the photovoltaic power station (kW), Q is the line heat loss; P0 is the heat loss of the substation; η n is the network loss rate; V e is the thermal power generation energy conversion rate (sej / kg); ρ cu is the density of the wire (g / cm 3 );V cu is the energy conversion rate of the conductor (sej / kg); M fe is the steel consumption of the pole (kg / km); V fe is the energy conversion rate of steel (sej / kg); P pv is the annual power generation of the photovoltaic power station; S pv is the installation area of ​​PV panels (unit: m 2 );G ghi is the annual total radiation of the inclined surface (unit: kW·h / m 2 / year); η is the photoelectric conversion efficiency of the photovoltaic module; K is the system comprehensive efficiency coefficient.

[0132] In some embodiments of the present invention, the calculation formula for land resource occupation cost is:

[0133] E land =A c ·X c ·Z c ·Y

[0134] In the above formula, E land is the land resource occupation cost equivalent energy value (sej); A c is the floor area (m 2 );Xc is the annual carbon sequestration per unit area (tC / m 2 );Z c is the carbon sequestration energy conversion rate (sej / tC); Y is the ecological life of land occupation (years).

[0135] In some embodiments of the present invention, the calculation formula of the site selection evaluation index is:

[0136]

[0137] In the above formula, E evaluate Y is the site selection evaluation index; pv E is the operating life of the photovoltaic power station (years); o is the cost-effectiveness value of production resources (sej); E out is the output equivalent energy value (sej); E road is the transport cost equivalent energy value (sej); E power is the cost-effectiveness of power transmission line loss (sej); E q is the cost-effectiveness value of the power station (sej); Y is the ecological life of land occupation (year); E land is the cost-effectiveness value of land resource occupation (sej).

[0138] The above-mentioned photovoltaic power station site selection device based on energy value analysis and GIS can execute the photovoltaic power station site selection method based on energy value analysis and GIS provided by the aforementioned embodiment of the present invention, and has the corresponding functional modules and beneficial effects of executing the photovoltaic power station site selection method based on energy value analysis and GIS.

[0139] Figure 3 A schematic diagram of the structure of an electronic device provided for an embodiment of the present invention. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0140] like Figure 3As shown, the electronic device includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., which is communicatively connected to the at least one processor 11. The memory stores a computer program that can be executed by the at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 into the random access memory (RAM) 13. Various programs and data required for the operation of the electronic device can also be stored in the RAM 13. The processor 11, ROM 12, and RAM 13 are connected to each other via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0141] Multiple components in the electronic device are connected to the I / O interface 15, including an input unit 16, such as a keyboard, mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a magnetic disk, optical disk, etc.; and a communication unit 19, such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device to exchange information / data with other devices via a computer network such as the Internet and / or various telecommunication networks.

[0142] Processor 11 can be any general-purpose and / or specialized processing component with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various specialized artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 11 executes the various methods and processes described above, such as the photovoltaic power plant site selection method based on emergy analysis and GIS.

[0143] In some embodiments, the photovoltaic power plant site selection method based on emergy analysis and GIS can be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed on the electronic device via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the photovoltaic power plant site selection method based on emergy analysis and GIS described above can be performed. Alternatively, in other embodiments, processor 11 can be configured to execute the photovoltaic power plant site selection method based on emergy analysis and GIS through any other appropriate means (e.g., via firmware).

[0144] Various embodiments of the systems and techniques described herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), system-on-chip systems (SOCs), programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include being implemented in one or more computer programs that are executable and / or interpreted on a programmable system that includes at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0145] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when the computer program is executed by the processor, the functions / operations specified in the flowcharts and / or block diagrams are implemented. The computer program may be executed entirely on the machine, partially on the machine, as a stand-alone software package, partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0146] In the context of the present invention, computer-readable storage media can be tangible media that can contain or store a computer program for use with an instruction execution system, device or equipment or used in combination with an instruction execution system, device or equipment. Computer-readable storage media can include but are not limited to electronic, magnetic, optical, electromagnetic, infrared or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, computer-readable storage media can be machine-readable signal media. More specific examples of machine-readable storage media can include electrical connections based on one or more lines, portable computer disks, hard disks, random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memory), optical fibers, portable compact disk read-only memories (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0147] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0148] The systems and techniques described herein can be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0149] A computing system may include clients and servers. The clients and servers are typically remote from each other and typically interact via a communication network. This client-server relationship arises through computer programs running on the respective computers, creating a client-server relationship. The server may be a cloud server, also known as a cloud computing server or cloud host. This server is a hosting product within the cloud computing service ecosystem that addresses the management difficulties and limited scalability of traditional physical hosting and VPS services.

[0150] An embodiment of the present invention further provides a computer program product, including a computer program, which, when executed by a processor, implements the photovoltaic power station site selection method based on energy value analysis and GIS as provided in any embodiment of the present application.

[0151] The computer program product may be implemented by writing computer program code for performing the operations of the present invention in one or more programming languages, or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0152] It should be understood that the various forms of the processes shown above can be used to reorder, add, or delete steps. For example, the steps described in the present invention can be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solution of the present invention can be achieved. This is not limited herein.

[0153] The above specific embodiments do not limit the scope of protection of the present invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions may be made based on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention are intended to be included within the scope of protection of the present invention.

Claims

1. A photovoltaic power station site selection method based on energy value analysis and GIS, characterized in that: include: Obtain geographic environment data, solar radiation data, and infrastructure data for the target area; Based on the geographic environment data, the target area is divided into a plurality of regional pixels, and regional pixels that are not suitable for development are excluded from the target area; Calculate the investment cost and equivalent energy efficiency of each pixel in the region for constructing a photovoltaic power station based on the geographical environment data, the solar radiation data, and the infrastructure data; Calculating the output equivalent energy value of the photovoltaic power station based on the predetermined annual power generation of the photovoltaic power station; Calculating the quotient of the output equivalent energy value and the input cost equivalent energy value as a site selection evaluation index; The regional pixel with the highest site selection evaluation index is used as the site selection location of the photovoltaic power station.

2. The photovoltaic power station site selection method based on energy value analysis and GIS according to claim 1 is characterized in that: The input costs include production resource costs, transportation costs, power transmission loss costs, and land resource occupation costs. The input cost and other efficiency values ​​of constructing a photovoltaic power station for each pixel in the region are calculated based on the geographic environment data, the solar radiation data, and the infrastructure data, including: The cost of production resources and other emergy values ​​are calculated based on the amount of material input per unit area, the emergy conversion efficiency of the material, the labor cost per unit area, the monetary emergy conversion rate and the input ratio of additional equipment; Calculate the transport cost and other emergy values ​​based on the geographical distance between the pixels in the area and the nearest existing road, the emergy conversion rate of the road construction, the photovoltaic installed capacity of the plot, the peak power of a single module, the number of modules transported per vehicle, the energy consumption of the tractor, the energy density of the transport vehicle, and the energy emergy conversion rate of the transport vehicle; Calculate the power transmission loss cost and other energy values ​​based on the distance between the pixel in the area and the nearest substation, the cross-sectional area of ​​the conductor, the annual average active power of the photovoltaic power station, the density of the conductor, the energy conversion rate of the conductor, the amount of steel used in the poles, the energy conversion rate of the steel, the annual power generation of the photovoltaic power station, the installation area of ​​the photovoltaic modules, the annual total radiation of the inclined surface, and the photoelectric conversion efficiency of the photovoltaic modules; Calculate the land resource occupation cost and other energy values ​​based on the battlefield area of ​​the photovoltaic power station, the annual carbon sequestration per unit area, the carbon sequestration energy conversion rate, and the ecological years of land occupation; The sum of the efficiency values ​​of production resource cost, transportation cost, power transmission loss cost and land resource occupation cost is calculated as the efficiency value of the input cost of constructing a photovoltaic power station in each pixel in the area.

3. The photovoltaic power station site selection method based on energy value analysis and GIS according to claim 2 is characterized in that: The calculation formula of the production resource cost equivalent energy value is: In the above formula, E o is the production resource cost equivalent energy value (sej); S is the photovoltaic installation area (m 2 );M i The amount of material per unit area input (g / m 2 );V i is the energy conversion rate of the i-th substance (sej / g); C L is the labor cost per unit area (￥ / m 2 );C R is the monetary emergy conversion rate (sej / ￥); α is the investment ratio of additional equipment.

4. The photovoltaic power station site selection method based on energy value analysis and GIS according to claim 2 is characterized in that: The calculation formula of the transport cost equivalent energy value is: In the above formula, E road is the transport cost equivalent energy value (sej); D road is the geographical distance between the regional pixel and the nearest existing road (km); V road is the energy conversion rate of road construction (unit: sej / km); C is the photovoltaic installed capacity of the plot (unit: W), calculated from the area and power of the photovoltaic modules; C p is the peak power of a single component (W); F v is the transport volume of components per vehicle (units / vehicle); Q s is the energy consumption of the tractor (L / km); ρ f is the energy density of the transport vehicle (kg / L); V f is the energy value conversion rate of the transport vehicle (sej / kg).

5. The photovoltaic power station site selection method based on energy value analysis and GIS according to claim 2, characterized in that: The calculation formula for the cost-effectiveness value of power transmission loss is: AND loss =And power +E q ; E power =D s ·(ρ cu ·s·V cu +M fe ·V fe ); P.S pv sS pv ·G ghi ·η·K. In the above formula, E loss is the cost-effectiveness value of power transmission loss, E power is the cost-effectiveness of power transmission line loss (sej); E q is the power plant loss cost equivalent energy value (sej); D s is the distance between the regional pixel and the nearest substation (km); s is the cross-sectional area of ​​the conductor (mm 2 ); p is the average annual active power of the photovoltaic power station (kW), Q is the line heat loss; P0 is the heat loss of the substation; η n is the network loss rate; V e is the thermal power generation energy conversion rate (sej / kg); ρ cu is the density of the wire (g / cm 3 );V cu is the energy conversion rate of the conductor (sej / kg); M fe is the steel consumption of the pole (kg / km); V fe is the energy conversion rate of steel (sej / kg); P pv is the annual power generation of the photovoltaic power station; S pv is the installation area of ​​PV panels (unit: m 2 );G ghi is the annual total radiation of the inclined surface (unit: kW·h / m 2 / year); η is the photoelectric conversion efficiency of the photovoltaic module; K is the system comprehensive efficiency coefficient.

6. The photovoltaic power station site selection method based on energy value analysis and GIS according to claim 2, characterized in that: The calculation formula for land resource occupation cost is: E land =A c ·X c ·Z c ·Y In the above formula, E land is the land resource occupation cost equivalent energy value (sej); A c is the floor area (m 2 );X c is the annual carbon sequestration per unit area (tC / m 2 );Z c is the carbon sequestration energy conversion rate (sej / tC); Y is the ecological life of land occupation (years).

7. The photovoltaic power station site selection method based on energy value analysis and GIS according to any one of claims 1 to 6, characterized in that: The calculation formula for site selection evaluation index is: In the above formula, E evaluate Y is the site selection evaluation index; pv E is the operating life of the photovoltaic power station (years); o is the cost-effectiveness value of production resources (sej); E out is the output equivalent energy value (sej); E road is the transport cost equivalent energy value (sej); E power is the cost-effectiveness of power transmission line loss (sej); E q is the cost-effectiveness value of the power station (sej); Y is the ecological life of land occupation (year); E land is the cost-effectiveness value of land resource occupation (sej).

8. A photovoltaic power station site selection device based on energy value analysis and GIS, characterized in that: include: Data acquisition module, used to obtain geographical environment data, solar radiation data, and infrastructure data of the target area; A pixel processing module, configured to divide the target area into a plurality of regional pixels based on the geographic environment data, and exclude regional pixels that are not suitable for development from the target area; An input cost equivalent energy value calculation module, configured to calculate an input cost equivalent energy value for constructing a photovoltaic power station for each pixel in the region based on the geographical environment data, the solar radiation data, and the infrastructure data; An output equivalent energy value calculation module, configured to calculate the output equivalent energy value of the photovoltaic power station based on the predetermined annual power generation of the photovoltaic power station; A site selection evaluation index calculation module, used to calculate the output equivalent energy value and the input cost equivalent energy value quotient as a site selection evaluation index; The site selection location determination module is used to select the regional pixel with the highest site selection evaluation index as the site selection location of the photovoltaic power station.

9. An electronic device, characterized in that: include: one or more processors; a storage device for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the photovoltaic power station site selection method based on energy value analysis and GIS as described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the photovoltaic power station site selection method based on energy value analysis and GIS as described in any one of claims 1 to 7 is implemented.

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