Photovoltaic design system and method based on ecological environment system optimization

Abstract

The invention provides a photovoltaic design system and method based on ecological environment system optimization, and the system comprises a preliminary scheme module which is used for determining a preliminary design result of a photovoltaic power station according to the initial data of a power station region where the photovoltaic power station is located; the secondary optimization module is used for determining at least one optimized arrangement scheme according to the economic benefits corresponding to the candidate arrangement schemes after optimization processing if optimization processing is carried out on the preliminary design result; the ecological benefit calculation module is used for determining the ecological benefit corresponding to each optimized arrangement scheme if ecological evaluation is carried out on each optimized arrangement scheme; and the ecological collaborative optimization module is used for determining a target arrangement scheme based on the economic benefit and / or ecological benefit corresponding to each optimized arrangement scheme. The system provided by the invention can accurately adapt to the requirements of ecologically fragile areas such as Sagolian and the like, and solves the problem of disjunction of ecology and power station design.

Description

Technical Field

[0001] This disclosure relates to the field of photovoltaic power plant technology, and in particular to a photovoltaic design system and method based on ecological environment system optimization. Background Technology

[0002] With the rapid expansion of photovoltaic installed capacity, how to quantitatively assess the impact of photovoltaic power plant construction on ecologically fragile areas, especially desert and Gobi areas, and achieve a balance between power plant construction and the ecological environment has become a current focus.

[0003] Numerous studies have demonstrated that the construction and operation of photovoltaic (PV) power plants can have environmental impacts on local climate, hydrology, and ecology. However, current PV system designs often fail to consider these ecological impacts. Furthermore, existing PV system optimization objectives focus solely on power generation or simple economic indicators, neglecting multi-objective synergistic optimization under ecological constraints. Moreover, current ecological benefit assessments largely rely on economic value conversion, lacking a quantitative coupling mechanism with PV power plants. Therefore, how to balance ecological benefits with power generation needs in the design of PV power plants is a pressing technical problem that this disclosure aims to address. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention aims to provide a photovoltaic design system and method based on ecological environment system optimization. The core objective of this invention is to establish a quantitative coupling relationship between photovoltaic array structure and ecological environment effects, achieving synergistic optimization of the economic and ecological benefits of photovoltaic power plants within a unified framework, and providing a scientific and optimal design solution for photovoltaic power plants in ecologically fragile areas.

[0005] According to a first aspect of the present disclosure, a photovoltaic design system based on ecological environment system optimization is provided. The system includes: a preliminary scheme module, a secondary optimization module, an ecological benefit calculation module, and an ecological collaborative optimization module; wherein... The preliminary design module is used to determine the preliminary design results of the photovoltaic power station based on the initial data of the power station area where the photovoltaic power station is located; wherein, the preliminary design results include the preliminary layout scheme of the photovoltaic array in the photovoltaic power station and the preliminary quantitative results of the power generation capacity; The secondary optimization module is used to determine at least one optimized layout scheme based on the economic benefits of each candidate layout scheme after optimization if the preliminary design results are optimized. The ecological benefit calculation module is used to determine the ecological benefits corresponding to each optimized layout scheme if an ecological evaluation is performed on each optimized layout scheme. The ecological collaborative optimization module is used to determine the target layout scheme based on the economic benefits and / or ecological benefits corresponding to each optimized layout scheme.

[0006] According to the photovoltaic design system proposed in the embodiments of this disclosure, the preliminary scheme module includes a resource submodule, a system design submodule, a support system submodule, and a power generation calculation submodule; The resource submodule is used to acquire initial data consisting of equipment library data, resource environment data, solar energy resource data, project scale data, budget data, and preset preference data; determine at least one of the following data information based on the solar energy resource data: abundance level, direct sunlight ratio, and stability level; and visualize the initial data and the data information. The equipment library data includes photovoltaic module parameters and inverter parameters in the photovoltaic power station; the resource environment data includes ambient temperature and solar irradiance. The system design submodule is used to perform simulation design processing on the photovoltaic power station based on the initial data to determine the preliminary layout scheme; the preliminary layout scheme includes the connection configuration information of the photovoltaic strings, the arrangement information of the photovoltaic array, and the electrical configuration information in the photovoltaic power station. The support system submodule is used to determine the support configuration information according to the preliminary layout plan; The power generation calculation submodule is used to determine the preliminary quantitative result of the power generation capacity based on the solar energy resources and the preliminary layout plan. The preliminary quantitative result includes at least the annual power generation of the photovoltaic power station.

[0007] According to the photovoltaic design system proposed in the embodiments of this disclosure, the secondary optimization module includes a power generation optimization submodule, a cable calculation submodule, a support calculation submodule, and an optimization submodule; The power generation optimization submodule is used to determine the candidate power generation corresponding to each parameter combination of the tilt angle and spacing of the photovoltaic array in the arrangement information of the photovoltaic array, and to determine the candidate arrangement scheme based on the parameter combination that the candidate power generation is greater than or equal to the power generation corresponding to the preliminary quantification result. The cable calculation submodule is used to calculate the cable cost corresponding to each candidate layout scheme. The support calculation submodule is used to calculate the cost of steel used in the support for each candidate layout scheme. The optimization submodule is used to determine the economic benefits of each candidate layout scheme based on the candidate power generation, cable cost, and steel cost corresponding to each candidate layout scheme; and to select at least one optimized layout scheme from the candidate layout schemes based on the economic benefits.

[0008] According to the photovoltaic design system proposed in the embodiments of this disclosure, the ecological benefit calculation module includes an ecological service evaluation submodule, an ecological economic evaluation submodule, and an ecological benefit evaluation submodule. The ecosystem service evaluation submodule is used to determine the ecosystem service benefits corresponding to each optimized layout scheme based on the area of ​​each land type in the power station area corresponding to each optimized layout scheme and the ecosystem service value corresponding to each land type. The ecological and economic evaluation submodule is used to determine the ecological and economic benefits corresponding to each optimized layout scheme. The ecological benefit evaluation submodule is used to determine the ecological benefits corresponding to each optimized layout scheme based on the ecological service benefits and ecological economic benefits corresponding to each optimized layout scheme.

[0009] According to the photovoltaic design system proposed in this disclosure, the eco-economic evaluation submodule is specifically used for: For each optimized layout scheme, the ecological and economic benefits corresponding to the optimized layout scheme are determined based on the sum of the energy-saving and emission-reduction benefits, pollutant emission-reduction benefits, and greenhouse gas emission-reduction benefits corresponding to the optimized layout scheme.

[0010] According to the photovoltaic design system proposed in this disclosure, the eco-economic evaluation submodule is specifically used for: For each optimized layout scheme, a first difference is determined between the annual power generation of the photovoltaic power station corresponding to the optimized layout scheme and the power consumption of the photovoltaic power station itself. Determine the second difference between the preset transaction price and the benchmark electricity price for desulfurized coal; The product of the first difference and the second difference is determined as the energy-saving and emission-reduction benefit corresponding to the optimized layout scheme.

[0011] According to the photovoltaic design system proposed in this disclosure, the eco-economic evaluation submodule is specifically used for: For each type of pollutant in each optimized layout scheme, the pollutant reduction benefit is determined based on the annual power generation of the photovoltaic power station, the self-consumption ratio of the photovoltaic power station, the emission coefficient corresponding to the pollutant, and the preset environmental value corresponding to the pollutant.

[0012] According to the photovoltaic design system proposed in this disclosure, the eco-economic evaluation submodule is specifically used for: For each optimized layout scheme, determine the first product value between the capacity marginal emission factor and the first weight corresponding to the optimized layout scheme, and determine the second product value between the power marginal emission factor and the second weight corresponding to the optimized layout scheme; The sum of the first product value and the second product value is determined as the weighted emission factor; The product of the photovoltaic power plant's power generation and the weighted emission factor is determined as the greenhouse gas emission reduction corresponding to the optimized layout scheme; The product of the greenhouse gas emission reduction and the preset carbon price is determined as the greenhouse gas emission reduction benefit corresponding to the optimized layout scheme.

[0013] According to the photovoltaic design system proposed in this disclosure, the ecological collaborative optimization module is specifically used for: The economic benefits of each optimized layout scheme are determined based on the net income corresponding to each optimized layout scheme. The comprehensive evaluation value corresponding to each optimized layout scheme is determined by the weighted sum of the economic and ecological benefits corresponding to each optimized layout scheme. The optimal layout scheme corresponding to the maximum value of the comprehensive evaluation value is determined as the target layout scheme, and / or the optimal layout scheme corresponding to the maximum value of the economic benefits is determined as the target layout scheme.

[0014] According to a second aspect of the present disclosure, a photovoltaic design method based on ecological environment system optimization is provided, the method comprising: The preliminary design results of the photovoltaic power station are determined based on the initial data of the power station area where the photovoltaic power station is located; wherein, the preliminary design results include the preliminary layout scheme of the photovoltaic array in the photovoltaic power station and the preliminary quantitative results of the power generation capacity; If the preliminary design results are optimized, at least one optimized layout scheme is determined based on the economic benefits of each candidate layout scheme after optimization. If an ecological evaluation is conducted on each optimized layout scheme, the corresponding ecological benefits of each optimized layout scheme can be determined. Based on the economic benefits and / or ecological benefits corresponding to each optimized layout scheme, the target layout scheme is determined.

[0015] The technical solutions provided by the embodiments of this disclosure may include the following beneficial effects: This disclosure addresses the long-standing disconnect between ecological benefits and economic benefits by incorporating ecological benefits as an intrinsic optimization objective during the planning and design phase, enabling real-time and quantitative balancing between the two. Furthermore, this disclosure can rapidly generate multiple comparative solutions based on specific project constraints, such as ecological and / or economic benefits, supporting scientific decision-making. Moreover, this disclosure provides direct technical support for responding to national photovoltaic and ecological governance policies, making it particularly suitable for applications in large-scale desert and Gobi bases, ecological red line areas, and other projects with high environmental friendliness requirements. This solution does not rely on difficult-to-obtain data or complex physical simulations, constructing a closed-loop technology process encompassing design, optimization, evaluation, and collaboration, demonstrating strong practicality. It should be understood that the above general description and the following detailed description are merely exemplary and explanatory, and do not limit this disclosure. Attached Figure Description

[0016] The accompanying drawings, which are incorporated in and form part of this disclosure, illustrate embodiments consistent with this disclosure and, together with the description, serve to explain the principles of this disclosure.

[0017] Figure 1 This disclosure is a schematic diagram of the structure of a photovoltaic design system based on ecological environment system optimization, according to an exemplary embodiment.

[0018] Figure 2 This disclosure is an implementation flowchart of a photovoltaic design system based on ecological environment system optimization, according to an exemplary embodiment.

[0019] Figure 3 This is a schematic diagram illustrating a photovoltaic design method based on ecological environment system optimization according to an exemplary embodiment of the present disclosure.

[0020] Figure 4 This disclosure illustrates a hardware structure diagram of a computer device housing a photovoltaic design system based on ecological environment system optimization, according to an exemplary embodiment. Detailed Implementation

[0021] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numerals in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this disclosure. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this disclosure as detailed in the appended claims.

[0022] The terminology used in this disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The singular forms “a,” “the,” and “the” as used in this disclosure and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used herein refers to and includes any and all possible combinations of one or more of the associated listed items.

[0023] It should be understood that although the terms first, second, third, etc., may be used in this disclosure to describe various information, such information should not be limited to these terms. These terms are used only to distinguish information of the same type from one another. For example, without departing from the scope of this disclosure, first information may also be referred to as second information, and similarly, second information may also be referred to as first information. Depending on the context, the word "if" as used herein may be interpreted as "when," "when," or "in response to determination."

[0024] The embodiments of this disclosure will now be described in detail.

[0025] like Figure 1 As shown, Figure 1 This disclosure is a schematic diagram of a photovoltaic design system based on ecological environment system optimization according to an exemplary embodiment. The photovoltaic design system includes a preliminary scheme module 110, a secondary optimization module 120, an ecological benefit calculation module 130, and an ecological collaborative optimization module 140.

[0026] In this embodiment, the preliminary design module 110 can be used to determine the preliminary design results of the photovoltaic power station based on the initial data of the power station area where the photovoltaic power station is located; wherein, the preliminary design results may include the preliminary layout scheme of the photovoltaic array in the photovoltaic power station and the preliminary quantitative results of the power generation capacity.

[0027] In this embodiment, the preliminary scheme module 110 may include a resource submodule, a system design submodule, a support system submodule, and a power generation calculation submodule.

[0028] This resource submodule can obtain initial data from a preset database and external data sources. This initial data may include equipment library data, resource and environmental data, solar energy resource data, project scale data, budget data, and preset preference data. The equipment database includes photovoltaic module parameters and inverter parameters. For example, photovoltaic module parameters may include peak power, open-circuit voltage, short-circuit current, temperature coefficient, and photoelectric conversion efficiency of a single module. Inverter parameters may include rated AC output power, maximum DC input voltage, and conversion efficiency. The resource and environmental data can be obtained from local meteorological stations or third-party monitoring platforms. Specifically, it includes historical data for the project location, such as ambient temperature data, average wind speed, annual rainfall, topographic data, and soil data for the past 5 years. Ambient temperature data may include average annual ambient temperature, extreme maximum temperature, and extreme minimum temperature. Soil data may include soil type. Solar energy resource data may include average annual solar irradiance, average monthly direct irradiance, average annual direct irradiance, and annual sunshine duration. Project scale data may include planned installed capacity and land area of ​​the power station area. Budget data may include investment limits. Preset preference data can be configured by the user, such as the type of support structure and reserved planting space.

[0029] After acquiring initial data, the resource submodule analyzes and processes the solar resource data to determine at least one of the following data: solar resource abundance level, direct irradiance ratio, and stability level. The abundance level is determined based on the richness grading range corresponding to the annual average solar irradiance; the direct irradiance ratio is determined based on the ratio between the annual average direct irradiance and the annual average solar irradiance; and the stability level is determined based on the fluctuation of the annual average solar irradiance across different years. The resource submodule also displays at least one of these data points through a visual interface, including a line graph showing monthly average irradiance changes and a heat map illustrating the distribution of solar irradiance within the power plant area, allowing users to intuitively understand the project's basic conditions. By integrating multi-dimensional initial data and visualizing it, the resource submodule provides a clear and intuitive presentation of the fundamental data for photovoltaic power plants, offering accurate data support for subsequent design and avoiding design deviations caused by fragmented or opaque data.

[0030] In this embodiment, the system design submodule can perform simulation design processing on the photovoltaic power station based on the initial data output by the resource submodule to determine the preliminary photovoltaic layout scheme. This preliminary layout scheme includes the connection configuration information of the photovoltaic strings, the arrangement information of the photovoltaic array, and the electrical configuration information. For example, the connection configuration information of the photovoltaic strings may include the number of modules connected in series in a single string, the number of strings connected to a single inverter, etc. The arrangement information of the photovoltaic array may include the tilt angle of the photovoltaic array, the spacing of the photovoltaic array (including north-south and east-west spacing), the number of strings in the subarray, the floor area of ​​the photovoltaic array, and the design scheme of the maintenance passages reserved between subarrays, such as their width. The electrical configuration information may include cable configuration, transmission current, etc. This system design submodule can combine data simulation design with preset total investment amount, unit area cost limit, and preset preference data, such as prioritizing power generation and cost control, to determine the string connection, array arrangement, and electrical configuration, ensuring the preliminary configuration scheme of the photovoltaic strings and laying the foundation for further optimization during the stable operation of the power station.

[0031] In this embodiment, the support system submodule can determine the support structure configuration information based on the preliminary layout plan, combined with resource and environmental data and preset preference data. This configuration information may include support structure height, support foundation, and support structure type. For example, if the preset preference data requires "reserving planting space under the slab," the support structure installation height can be determined based on the component heights in the preliminary layout plan; if the project site has an extreme minimum temperature and a frozen soil layer, the support foundation can be a foundation that can penetrate the frozen layer. This support system submodule can determine the support structure configuration according to the preliminary layout plan, balancing functional requirements and environmental adaptability, ensuring support structure safety and conforming to the actual project conditions.

[0032] In this embodiment, the power generation calculation submodule can determine the preliminary quantitative result of power generation capacity based on solar energy resources and the preliminary configuration plan. Specifically, the average annual solar irradiance can be determined using solar energy resource data; the average annual solar irradiance can be separated into direct irradiance and diffuse irradiance using a direct-diffuse separation algorithm; the effective irradiance actually received by the photovoltaic module's light-receiving surface can be calculated by combining parameters such as the tilt angle and spacing of the photovoltaic array in the preliminary configuration plan; the effective irradiance can be further converted into the corresponding annual power generation by combining the photoelectric conversion efficiency of the photovoltaic modules in the preliminary configuration plan; and the annual power generation can be corrected based on loss data such as cable transmission loss to obtain the final annual power generation.

[0033] This power generation calculation submodule can also predict the power generation of each future year based on the current year's power generation, using a preset attenuation factor as a benchmark. The power generation of the current year and the power generation of each future year are then used as preliminary quantitative results of the power generation capacity. The attenuation factor can be determined by the degradation losses of the photovoltaic power plant's modules, and its specific determination can be made based on actual conditions.

[0034] Through the division of labor and collaboration among the above four sub-modules, a preliminary design closed loop of data input-design-quantification is formed, improving the accuracy and practicality of the preliminary solution.

[0035] In this embodiment, the secondary optimization module 120 can be used to determine at least one optimized layout scheme based on the economic benefits corresponding to each candidate layout scheme after optimization if the preliminary design results are optimized.

[0036] In this embodiment, the secondary optimization module 120 may include a power generation optimization submodule, a cable calculation submodule, a support calculation submodule, and an optimization submodule.

[0037] The power generation optimization submodule first needs to extract the core parameters corresponding to the photovoltaic array arrangement information from the preliminary layout plan, such as the preliminary tilt angle and preliminary spacing, such as the north-south spacing and the annual power generation corresponding to the preliminary quantification results. It then determines the iteration range and step size for each parameter. For example, multiple different tilt angles can be determined based on the tilt angle iteration range and the corresponding iteration step size; multiple different spacings can be determined based on the spacing iteration range and the corresponding iteration step size. Finally, it generates iterative schemes corresponding to all possible parameter combinations by combining parameters for different tilt angles and different spacings. The tilt angle iteration range and spacing iteration range can be determined according to the actual situation, and this disclosure does not impose any limitations.

[0038] For each parameter combination, the power generation optimization submodule can calculate the candidate power generation corresponding to each parameter combination based on the annual average solar irradiance. After completing the calculation of the candidate power generation for all parameter combinations, the power generation optimization submodule can filter out parameter combinations whose candidate power generation is greater than or equal to the preliminary annual power generation. The layout information corresponding to these combinations, together with other parameter data already determined in the preliminary layout plan, are used to determine the candidate layout plan.

[0039] In this embodiment, the cable calculation submodule can perform cable calculations for each candidate arrangement scheme output by the power generation optimization submodule. For example, it can determine the length of DC cables and AC cables, select suitable cable cross-sections, and determine the corresponding cable cost based on the cable length and cable cross-section.

[0040] In this embodiment, the support calculation submodule can calculate the amount of steel used for each candidate layout scheme. As an example, the angle of the support beam can be adjusted according to the inclination angle in the candidate layout scheme, and the span of the support can be determined according to the spacing corresponding to the candidate layout scheme, and the column spacing can be adjusted; and the cost of the steel used can be determined according to the number and type of the adjusted supports.

[0041] In this embodiment, the optimization submodule can determine the total cost corresponding to each candidate layout scheme based on the candidate power generation corresponding to each candidate layout scheme, and based on the cable cost and steel cost corresponding to each candidate layout scheme. For each group of candidate layout schemes, the optimization submodule can determine the economic benefits based on the power generation, cable cost, and steel cost corresponding to each candidate layout scheme. Specifically, the self-consumption of each candidate layout scheme can be determined based on the parameters of each component in each candidate layout scheme; the difference between the candidate power generation and the self-consumption can be determined, and the product of the difference and the preset transaction price can be determined as the power generation revenue; the sum of the cable cost and the steel cost can be determined as the total cost, or the sum of the cable cost, the steel cost, and the preset maintenance fee can be determined as the total cost; the difference between the power generation revenue and the total cost can be determined as the economic benefit, i.e., the net profit. The preset maintenance fee can be determined according to the actual situation, and this disclosure does not limit it.

[0042] After completing the economic benefit calculations for all candidate layout schemes, the optimization submodule can further verify the construction feasibility of the candidate schemes. If the feasibility exceeds the pre-configured land area, the scheme will be eliminated. The verified candidate layout schemes can be sorted in descending order of economic benefit, and the top N schemes, such as the top 3, can be selected as the optimized layout schemes.

[0043] Through step-by-step calculations and multi-dimensional screening by the four sub-modules, the secondary optimization module can effectively avoid the problem of soaring costs due to solely pursuing power generation, or declining power generation due to controlling costs alone, ensuring that the output optimized layout scheme is both economical and feasible.

[0044] In this embodiment, the ecological benefit calculation module 130 can be used to determine the ecological benefits corresponding to each optimized layout scheme if an ecological evaluation is performed on each optimized layout scheme.

[0045] In this embodiment, the ecological benefit calculation module 130 may include an ecological service evaluation submodule, an ecological economic evaluation submodule, and an ecological benefit evaluation submodule.

[0046] In this embodiment, the ecosystem service evaluation submodule can be used to determine the ecosystem service benefits based on the area of ​​each land type in the power station area corresponding to each optimized layout scheme and the ecosystem service value corresponding to each land type. The calculation of the ecosystem service benefits of the power station area corresponding to each optimized layout scheme can be shown in formulas (1)-(3).

[0047] (1) (2) (3) In the above formula (1), This refers to the basic ecological service value that the power station area naturally generates during its service life when there are no photovoltaic projects. This represents the area of ​​the i-th land use type within the power station area, which may include bare sand, grassland, saline-alkali land, etc.; n represents the number of land use types within the power station area. This represents the annual ecological value generated per unit area of ​​land for each land use type i during the initial stage of station construction, i.e., after the site leveling project. This value can be determined through historical observations. r represents the construction disturbance reduction coefficient, which can be taken as 0.6. Since the site leveling project will damage the soil structure and remove vegetation, leading to a decline in the land's ecological function, this coefficient can be used to reduce the value loss caused by this damage. The recovery period refers to the time required for the land to naturally recover from its damaged state to a stable ecological state after the site has been leveled; for example, 4 years can be used. This represents the ecosystem service value per unit area of ​​land after the i-th type of land has been restored; Indicates the service life of a photovoltaic power station, such as 25 years; This indicates the duration of the stable period of a photovoltaic power station, that is, the duration of a stable ecological state. This calculation method can clearly quantify the contribution of different land use types to the overall service value of the power station system.

[0048] In the above formula (2), This represents the total eco-service value generated by the power station area within its service life after the completion of the photovoltaic project and the implementation of various eco-service measures. K represents the set of eco-service measures adopted in the power station area, including any one or more of the following: windbreak and sand fixation measures, artificial vegetation measures, water resource utilization technology measures, photovoltaic agriculture measures, and photovoltaic animal husbandry measures. Land area in the power plant area The equivalent value of the k-th service item is expressed in yuan / square meter / year, such as the equivalent value of bare sandy land after windbreak and sand fixation measures; r represents the construction disturbance reduction factor, which can be taken as 0.6. Indicates the duration of the recovery period; This represents the equivalent value of land category i in service item k after the land category i is relocated, i.e., the equivalent value of land category i after recovery based on service item k, in yuan / square meter·year. Indicates the duration of the stable period of a photovoltaic power station; : The gain coefficient value of land type i in service item k, which can be determined through empirical values ​​from historical observations. By calculating the ecological value brought about by the ecological measures applied to each land area in the power station area, the subsequent accurate quantification of ecological service benefits is achieved.

[0049] In the above formula (3), This indicates the ecological service benefits of the power station area.

[0050] In this embodiment, the eco-economic evaluation submodule needs to be able to calculate the ecological and environmental benefits corresponding to each optimized layout scheme, which may include energy conservation and emission reduction benefits, pollutant emission reduction benefits, and greenhouse gas emission reduction benefits. The eco-economic benefits corresponding to each optimized layout scheme can be determined based on the ecosystem service value, energy conservation and emission reduction benefits, pollutant emission reduction benefits, and greenhouse gas emission reduction benefits associated with each optimized layout scheme.

[0051] The calculation method for energy conservation and emission reduction benefits can be shown in formula (4).

[0052] (4) In the above formula (4), Indicates the benefits of energy conservation and emission reduction; This represents the annual power generation of a photovoltaic power plant, expressed in kWh (kilowatt-hours). This indicates the proportion of electricity consumed by the photovoltaic power station itself, expressed as a percentage (%). This indicates the preset transaction price, in yuan / kWh (yuan / kilowatt-hour). This represents the benchmark price of desulfurized coal-fired power, expressed in yuan / kWh. This calculation transforms the positive environmental benefits of photovoltaic power generation replacing thermal power into monetary value, intuitively demonstrating the dual economic and ecological value of photovoltaic power generation in energy conservation and emission reduction. The corresponding value can be represented as the first difference, which is the first difference between the annual power generation of the photovoltaic power station and the corresponding electricity consumption of the photovoltaic power station; The corresponding value can be represented as the second difference, which is the second difference between the preset transaction price and the desulfurized coal benchmark electricity price.

[0053] The calculation of pollutant emission reduction benefits can be shown in formula (5).

[0054] (5) In the above formula (5), Indicates the benefits of pollutant emission reduction; This indicates the annual power generation of the photovoltaic power station; This indicates the percentage of electricity used by the power plant itself, expressed as % (percentage). This represents the emission coefficient of pollutant category j, expressed in kg / kWh. This represents the preset environmental value of pollutant category j, expressed in yuan per kilogram; J represents the total number of air pollutant types. The types of pollutants in the atmosphere can include... , The specific amounts, including smoke and dust, can be determined based on actual conditions. This calculation allows for the precise quantification of the benefits of air pollutant emission reduction.

[0055] The calculation method for greenhouse gas emission reduction benefits can be shown in formulas (6)-(7).

[0056] (6) (7) In formula (6), Indicates greenhouse gas emission reductions; This indicates the annual power generation of the photovoltaic power station; It represents the capacity marginal emission factor, with the unit being kg / kWh (kilograms per kilowatt-hour). It can reflect the carbon emission intensity of the long-term new capacity of the power grid, such as the emission level of newly built thermal power plants. The marginal emission factor of electricity is expressed in kg / kWh, reflecting the average emission intensity of the power grid during short-term operation, such as marginal changes in the current power generation structure. , Represent and The weight, This can be represented as the first weight. It can be represented as the second weight, and satisfies + =1, and the value of this weight can be set according to specific circumstances such as time or regional policies. The corresponding product value is determined as the first product value, and then... The corresponding product value is determined as the second product value, and the sum of the first and second product values ​​is used to determine the weighted emission factor.

[0057] In formula (7), Indicates the environmental value of greenhouse gases; This represents a preset carbon price, which can be derived from the carbon trading market. This calculation directly transforms abstract emission reductions into quantifiable carbon trading revenue, converting the ecological value of photovoltaic power plants into actual economic benefits. It adapts to the power grid development plans and emission reduction targets of different regions, making the calculation logic more universal and adaptable.

[0058] The eco-economic benefits of each optimized layout scheme can be determined by summing the energy-saving and emission-reduction benefits, pollutant emission-reduction benefits, and greenhouse gas emission-reduction benefits corresponding to each optimized layout scheme.

[0059] In this embodiment, the ecosystem service benefit evaluation submodule can be used to determine the ecological benefits corresponding to each optimized layout scheme based on the ecosystem service benefits and ecological economic benefits corresponding to each optimized layout scheme. For example, the sum of the ecosystem service benefits and ecological economic benefits corresponding to each optimized layout scheme can be determined as the ecological benefit corresponding to each optimized layout scheme.

[0060] By quantitatively calculating the ecological service benefits and ecological economic benefits, we can comprehensively consider the ecological contribution and economic benefits during the construction and operation of the power station, determine whether the current ecological measures meet the regional ecological protection needs, provide data support for subsequent adjustments to ecological measures, and ultimately achieve the coordinated development of photovoltaic power stations and the ecological environment.

[0061] In this embodiment, the ecological collaborative optimization module 140 can be used to determine the target layout scheme based on the economic and ecological benefits corresponding to each optimized layout scheme.

[0062] The ecological synergistic optimization module 140 can rely on the data output by the aforementioned preliminary scheme module, secondary optimization module, and ecological benefit calculation module—including design parameters such as component tilt angle, spacing, total cost, annual power generation, and ecological benefits such as ecosystem service value and various emission reduction values—and achieve synergistic optimization of economic and ecological aspects by integrating multi-dimensional data. This step can systematically integrate these scattered indicators, which are usually used for post-evaluation, into the front-end design stage and establish a correlation with design variables.

[0063] The economic benefits of each optimized layout scheme can be determined based on the difference between the power generation revenue and the total cost corresponding to each optimized layout scheme. The formula for calculating the economic benefits of any optimized layout scheme is shown in formula (8).

[0064] (8) In the above formula (8), This represents the revenue generated by the photovoltaic power plant. This indicates the total cost of a photovoltaic power plant.

[0065] The formula for calculating the ecological benefits corresponding to any optimized layout scheme can be shown in formula (9).

[0066] (9) In the above formula (9), Indicates ecological benefits, Indicates the benefits of ecosystem services. Indicates energy conservation and emission reduction benefits. Indicates the benefits of pollutant emission reduction. This indicates the benefits of greenhouse gas emission reduction.

[0067] In this embodiment, if the initial layout scheme is optimized to obtain at least one optimized layout scheme, and an ecological evaluation is performed on each optimized layout scheme to obtain the corresponding ecological benefits, then a comprehensive objective function can be constructed based on the weighted sum model of the economic and ecological benefits corresponding to each optimized layout scheme. The optimal design scheme is determined based on the maximum value of the comprehensive evaluation value corresponding to the comprehensive objective function, thus obtaining the target layout scheme. The calculation method of the comprehensive objective function corresponding to any optimized layout scheme can be as shown in formula (10).

[0068] (10) In the above formula (10), Indicates economic benefits, Indicates ecological benefits; Indicates the weight of economic benefits. Indicates the weight of ecological benefits. This represents the comprehensive evaluation value. The weighting can be adjusted according to project requirements, and the sum of the weighting values ​​is usually 1 to reflect the importance of different objectives. Subsequently, the quantified results of the two objectives are summed according to their weights to form a comprehensive objective function. The combination of design parameters corresponding to the maximum value of this function is the optimal solution.

[0069] If the initial layout plan is optimized to obtain at least one optimized layout plan and no ecological evaluation is performed on each optimized layout plan, the net income corresponding to each optimized layout plan can be determined as the economic benefit, and the optimized layout plan corresponding to the maximum value of the economic benefit can be determined as the target layout plan.

[0070] If the initial layout plan is not optimized and no ecological evaluation is performed on each optimized layout plan, the initial layout plan can be determined as the target layout plan.

[0071] Through the above collaborative optimization logic, the single problems of traditional designs that emphasize economy over ecology or ecology over economy can be effectively solved. For ecologically fragile areas, such as deserts, gobi, and desert regions, i.e., the sandy, gobi, and desert regions, the ecological benefit weight can be increased to ensure that the ecological benefits meet the standards; for supporting power stations in industrial and commercial parks, the economic benefit weight can be increased to prioritize ensuring investment returns; at the same time, by traversing the comprehensive evaluation values of multiple groups of combined parameters, the optimal solution of the "economy-ecology" balance can be accurately located, realizing the collaborative adaptation of the photovoltaic power station and regional development.

[0072] As Figure 2 shown, Figure 2 is an implementation flowchart of a photovoltaic design system based on ecological environment system optimization shown by the present disclosure according to an exemplary embodiment.

[0073] In this embodiment, the photovoltaic design system integrates the full-process functions of solar energy resource data, economic benefit calculation, ecological benefit calculation, and their collaborative optimization, and realizes a closed-loop from initial data input to final optimized plan output through the following operations. The specific implementation process is as follows: Initial data can be loaded into the photovoltaic design system. The user can load the initial data in the system, and the initial data can include equipment library data, resource environment data, and solar energy resource data. The equipment library data can include photovoltaic module parameters, such as peak power, open-circuit voltage, short-circuit current, etc., and inverter parameters, such as rated power, photoelectric conversion efficiency, etc.; the resource environment data can include the resource environment data of the power station area where the photovoltaic power station is located, such as environmental temperature, wind speed, etc.; the solar energy resource data can include annual average solar irradiance, monthly average irradiance, etc. After loading, the initial data can be further supplemented and configured in the system interface. For example, terrain data in the resource environment data, such as slope, altitude, landform type, etc., richness level, direct ratio value, and stability level in the solar energy resource data, project scale data, such as planned installed capacity, floor area, budget data, such as total investment amount, upper limit of unit area cost, etc., and preset preference data, such as prioritize ensuring power generation, prioritize controlling costs, or prioritize balancing ecology, can be further supplemented to provide basic data support for subsequent further simulation calculations.

[0074] After the initial data is loaded, the preliminary design results can be determined based on the preliminary scheme module, yielding preliminary layout schemes and preliminary quantitative results of power generation capacity. This simulation module includes solar resource data analysis, photovoltaic module series and parallel design, planar layout determination, support system selection, system efficiency calculation, and power generation calculation. The design system takes initial data, such as solar irradiance and sunshine duration, and resource and environmental data, such as temperature and wind speed, as input. Using a direct-scatter separation algorithm, it decomposes total solar radiation into direct and diffuse radiation. It then calculates the optimal tilt angle of the photovoltaic array based on the principle of maximizing annual irradiance on the light-receiving surface to ensure maximum annual radiation received by the modules and determines the string spacing to avoid shading between modules. Subsequently, based on the processed irradiance data of the light-receiving surface, the power generation can be determined. First, the DC-side power of the photovoltaic modules can be calculated using the photoelectric conversion formula. Then, various losses are considered, such as module degradation losses, inverter conversion losses, cable transmission losses, shading losses, and electrical adaptation parameters, such as the power matching degree between the inverter and the modules. Finally, data such as the annual power generation on the AC side and the annual power generation for each of the preset future years are obtained.

[0075] After obtaining the initial quantitative results, you can choose whether to enable secondary optimization. If secondary optimization is enabled, the optimized layout scheme will be further determined based on the secondary optimization module. If secondary optimization is not enabled, the economic benefits corresponding to the initial configuration results will be calculated directly. If secondary optimization is enabled, the secondary optimization module will be used to determine the "economically optimal value of power generation and total cost," including three sub-functions: power generation optimization, cable calculation, and support calculation. Among these steps, power generation optimization involves adjusting the tilt angle and spacing in the initial configuration results to simulate the power generation per unit area under different tilt angles and spacings, and then selecting the optimal parameter combination. Cable calculation can include the length of DC cables and AC cables, and determine the appropriate cable cross-section by combining current carrying capacity and voltage drop limit, and determine the cable cost through cable length and cross-section. Support calculation optimizes the support height, combines geological conditions such as soil bearing capacity to calculate the amount of steel used for supports at different heights, and determines the cost of steel for supports. Optimized layout schemes with power generation greater than or equal to the preliminary quantification results can be identified as candidate layout schemes. From the candidate layout schemes, the economic benefits corresponding to the difference between each candidate power generation and the total cost are determined, and at least one optimized layout scheme can be selected from the candidate layout schemes based on these economic benefits.

[0076] After obtaining the optimized layout scheme through secondary optimization, it can be determined whether an ecological assessment should be conducted. If an ecological assessment is conducted, the ecological measures corresponding to the optimized layout scheme will be further determined. Specifically, users can select specific types of ecological measures for different land areas within the power plant area, such as windbreak and sand-fixing measures, artificial vegetation measures, water resource utilization technologies, photovoltaic agriculture measures, and photovoltaic animal husbandry measures—any one or more of these. The ecological service benefits of the power plant area are determined based on the ecological measures applied to different land areas within the power plant area. Ecological economic benefits can be calculated based on energy conservation and emission reduction benefits, pollutant emission reduction benefits, and greenhouse gas emission reduction benefits, thereby quantifying the economic value brought about by ecological improvement. Ecological benefits can be determined based on both ecological service benefits and ecological economic benefits.

[0077] A comprehensive evaluation value can be obtained based on both economic and ecological benefits. Economic and ecological benefits can be weighted according to user-preset weights, such as 0.6 for economic benefits and 0.4 for ecological benefits, to arrive at a comprehensive evaluation value. Further secondary optimization is possible, adjusting parameters such as component spacing and tilt angle within a reasonable range to ultimately output the optimal design scheme, such as a complete scheme including optimal tilt angle, spacing, and types of ecological measures. This complete scheme can be used to generate a report, providing investors with quantitative evidence to assess the project's economic returns and ecological value.

[0078] In this embodiment, through the above process, the photovoltaic collaborative design system can adapt to different scenario requirements. For ordinary industrial and commercial power plants, it can skip ecological assessment and ecological benefit calculation and quickly output basic design schemes. For power plants in desert and Gobi areas, it can fully utilize all steps to achieve power generation-ecological collaborative optimization. Compared with traditional design systems, it can more accurately balance the economic benefits and ecological benefits of the project and improve the feasibility and adaptability of the design scheme.

[0079] Corresponding to the aforementioned photovoltaic design system embodiments, this disclosure also provides a photovoltaic design method based on ecological environment system optimization and an embodiment of the terminal to which it is applied.

[0080] like Figure 3 As shown, Figure 3 This is a schematic diagram illustrating a photovoltaic design method based on ecological environment system optimization according to an exemplary embodiment of the present disclosure.

[0081] Step 301: Determine the preliminary design results of the photovoltaic power station based on the initial data of the power station area where the photovoltaic power station is located.

[0082] In this embodiment, initial data of the area where the photovoltaic power station is located can be collected. This initial data may include equipment library data, resource and environmental data, solar energy resource data, project scale data, budget data, and preset preference data. Based on this initial data, a preliminary layout scheme for the photovoltaic array and a preliminary quantitative result of its power generation capacity can be determined, resulting in the preliminary design result. The preliminary layout scheme for the photovoltaic array may include the connection configuration information of the photovoltaic strings in the photovoltaic power station, the arrangement information of the photovoltaic array, and the electrical configuration information; the preliminary quantitative result of its power generation capacity may include the annual power generation.

[0083] By acquiring initial data from multiple dimensions, design deviations caused by missing a single data point can be avoided, providing comprehensive data support for the preliminary design. At the same time, quantifying the annual power generation not only establishes the power plant design framework but also provides a clear benchmark for subsequent optimization.

[0084] Step 302: If the preliminary design results are optimized, at least one optimized layout scheme shall be determined based on the economic benefits of each candidate layout scheme after optimization.

[0085] In this embodiment, the core parameters that need to be iteratively optimized can be determined. For example, the tilt angle and spacing of the photovoltaic array can be adjusted separately. Typically, the north-south spacing can be adjusted, and the parameters corresponding to the tilt angle and spacing can be combined to form an optimization scheme. For each set of optimization schemes corresponding to each parameter combination, the corresponding candidate power generation can be calculated. The candidate layout scheme can be determined based on the parameter combination whose candidate power generation is greater than or equal to the power generation corresponding to the preliminary quantification result. The cost of steel used in the support structure corresponding to each candidate layout scheme can be determined, as well as the cable cost corresponding to each candidate layout scheme.

[0086] By defining net income as economic benefit and using this economic benefit as the core optimization objective, we can ensure that the optimized scheme is both economical and has power generation capacity, and that the optimized layout scheme corresponding to the parameter combination is no less than the initial power generation capacity. This allows us to optimize costs while ensuring power generation capacity, and obtain an accurate optimized layout scheme.

[0087] Step 303: If an ecological evaluation is conducted on each optimized layout scheme, the ecological benefits corresponding to each optimized layout scheme are determined.

[0088] In this embodiment, the benefits of each optimized layout scheme can be calculated from two core dimensions: ecosystem service benefits and eco-economic benefits. For ecosystem service benefits, the ecosystem service benefits generated in the power plant area after adopting ecological measures under each optimized layout scheme can be calculated. For eco-economic benefits, they can be determined based on the energy conservation and emission reduction benefits, pollutant emission reduction benefits, and greenhouse gas emission reduction benefits corresponding to each optimized layout scheme.

[0089] Through the above-mentioned multi-dimensional accounting, the specific composition and total value of the ecological benefits corresponding to each optimized layout scheme can be clearly defined, providing clear ecological dimension data support for subsequent economic-ecological synergistic optimization, and solving the limitation of traditional design that has more qualitative descriptions of ecological benefits and less quantitative calculations.

[0090] Step 304: Based on the economic benefits and / or ecological benefits corresponding to each optimized layout scheme, determine the target layout scheme.

[0091] In this embodiment, the economic and ecological benefits of each optimized layout scheme can be weighted and calculated to obtain a comprehensive evaluation value for each optimized layout scheme. The optimized layout scheme corresponding to the maximum comprehensive evaluation value can be determined as the target layout scheme; or, if no ecological evaluation has been performed on each optimized layout scheme, the optimized layout scheme corresponding to the maximum economic benefit can be determined as the target layout scheme.

[0092] The above methods can avoid the one-sidedness of single-dimensional decision-making and ensure that the target layout plan takes into account both economic benefits and ecological value, providing a scientific final solution basis for the design and construction of photovoltaic power plants.

[0093] It should be noted that the method in this embodiment is the same as the method in the aforementioned embodiment of a photovoltaic design system based on ecological environment system optimization, and has the beneficial effects of the corresponding embodiment, which will not be repeated here.

[0094] Embodiments of the photovoltaic design system disclosed herein can be applied to computer equipment, such as servers or terminal devices. The device embodiments can be implemented through software, hardware, or a combination of both. Taking software implementation as an example, as a logical device, it is formed by the processor residing in it reading the corresponding computer program instructions from non-volatile memory into memory and executing them. From a hardware perspective, such as... Figure 4 The diagram shown is a hardware structure diagram of a computer device housing a photovoltaic design system based on ecological environment system optimization, according to an embodiment of this disclosure. Except for... Figure 4 In addition to the processor 410, memory 430, network interface 420, and non-volatile memory 440 shown, the server or electronic device where the photovoltaic design system 431 is located in the embodiment may also include other hardware depending on the actual function of the computer device, which will not be described in detail here.

[0095] For the device embodiments, since they basically correspond to the method embodiments, the relevant parts can be referred to in the description of the method embodiments. The device embodiments described above are merely illustrative. The modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the purpose of this disclosure according to actual needs. Those skilled in the art can understand and implement this without creative effort.

[0096] The foregoing has described specific embodiments of this disclosure. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired results. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0097] Other embodiments of this disclosure will readily occur to those skilled in the art upon consideration of the specification and practice of the invention applied herein. This disclosure is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not claimed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this disclosure are indicated by the following claims.

[0098] It should be understood that this disclosure is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this disclosure is limited only by the appended claims.

[0099] The above description is merely a preferred embodiment of this disclosure and is not intended to limit this disclosure. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this disclosure should be included within the scope of protection of this disclosure.

Claims

1. A photovoltaic design system based on ecological environment system optimization, characterized in that, The system includes a preliminary scheme module, a secondary optimization module, an ecological benefit calculation module, and an ecological collaborative optimization module; among which... The preliminary design module is used to determine the preliminary design results of the photovoltaic power station based on the initial data of the power station area where the photovoltaic power station is located; wherein, the preliminary design results include the preliminary layout scheme of the photovoltaic array in the photovoltaic power station and the preliminary quantitative results of the power generation capacity; The secondary optimization module is used to determine at least one optimized layout scheme based on the economic benefits of each candidate layout scheme after optimization if the preliminary design results are optimized. The ecological benefit calculation module is used to determine the ecological benefits corresponding to each optimized layout scheme if an ecological evaluation is performed on each optimized layout scheme. The ecological collaborative optimization module is used to determine the target layout scheme based on the economic benefits and / or the ecological benefits corresponding to each optimized layout scheme.

2. The system according to claim 1, characterized in that, The preliminary scheme module includes a resource submodule, a system design submodule, a support system submodule, and a power generation calculation submodule; The resource submodule is used to acquire initial data consisting of equipment library data, resource environment data, solar energy resource data, project scale data, budget data, and preset preference data; Based on the solar energy resource data, at least one of the following data information is determined: the abundance level of solar energy resources, the direct irradiance ratio, and the stability level. The initial data and the data information are then visualized. The equipment database data includes photovoltaic module parameters and inverter parameters in the photovoltaic power station. The resource environment data includes ambient temperature and solar irradiance. The system design submodule is used to perform simulation design processing on the photovoltaic power station based on the initial data to determine the preliminary layout scheme; the preliminary layout scheme includes the connection configuration information of the photovoltaic strings, the arrangement information of the photovoltaic array, and the electrical configuration information in the photovoltaic power station. The support system submodule is used to determine the support configuration information according to the preliminary layout plan; The power generation calculation submodule is used to determine the preliminary quantitative result of the power generation capacity based on the solar energy resources and the preliminary layout plan. The preliminary quantitative result includes at least the annual power generation of the photovoltaic power station.

3. The system according to claim 1, characterized in that, The secondary optimization module includes a power generation optimization submodule, a cable calculation submodule, a support calculation submodule, and an optimization submodule. The power generation optimization submodule is used to determine the candidate power generation corresponding to each parameter combination of the tilt angle and spacing of the photovoltaic array in the arrangement information of the photovoltaic array, and to determine the candidate arrangement scheme based on the parameter combination that the candidate power generation is greater than or equal to the power generation corresponding to the preliminary quantification result. The cable calculation submodule is used to calculate the cable cost corresponding to each candidate layout scheme. The support calculation submodule is used to calculate the cost of steel used in the support for each candidate layout scheme. The optimization submodule is used to determine the economic benefits of each candidate layout scheme based on the candidate power generation, cable cost, and steel cost corresponding to each candidate layout scheme. Based on the economic benefits, at least one optimized layout scheme is selected from the candidate layout schemes.

4. The system according to claim 1, characterized in that, The ecological benefit calculation module includes an ecological service evaluation submodule, an ecological economic evaluation submodule, and an ecological benefit evaluation submodule. The ecosystem service evaluation submodule is used to determine the ecosystem service benefits corresponding to each optimized layout scheme based on the area of ​​each land type in the power station area corresponding to each optimized layout scheme and the ecosystem service value corresponding to each land type. The ecological and economic evaluation submodule is used to determine the ecological and economic benefits corresponding to each optimized layout scheme. The ecological benefit evaluation submodule is used to determine the ecological benefits corresponding to each optimized layout scheme based on the ecological service benefits and ecological economic benefits corresponding to each optimized layout scheme.

5. The system according to claim 4, characterized in that, The ecological and economic evaluation submodule is specifically used for: For each optimized layout scheme, the ecological and economic benefits corresponding to the optimized layout scheme are determined based on the sum of the energy-saving and emission-reduction benefits, pollutant emission-reduction benefits, and greenhouse gas emission-reduction benefits corresponding to the optimized layout scheme.

6. The system according to claim 5, characterized in that, The ecological and economic evaluation submodule is specifically used for: For each optimized layout scheme, a first difference is determined between the annual power generation of the photovoltaic power station corresponding to the optimized layout scheme and the power consumption of the photovoltaic power station itself. Determine the second difference between the preset transaction price and the benchmark electricity price for desulfurized coal; The product of the first difference and the second difference is determined as the energy-saving and emission-reduction benefit corresponding to the optimized layout scheme.

7. The system according to claim 5, characterized in that, The ecological and economic evaluation submodule is specifically used for: For each type of pollutant in each optimized layout scheme, the pollutant reduction benefit is determined based on the annual power generation of the photovoltaic power station, the self-consumption ratio of the photovoltaic power station, the emission coefficient corresponding to the pollutant, and the preset environmental value corresponding to the pollutant.

8. The system according to claim 5, characterized in that, The ecological and economic evaluation submodule is specifically used for: For each optimized layout scheme, determine the first product value between the capacity marginal emission factor and the first weight corresponding to the optimized layout scheme, and determine the second product value between the power marginal emission factor and the second weight corresponding to the optimized layout scheme; The sum of the first product value and the second product value is determined as the weighted emission factor; The product of the photovoltaic power plant's power generation and the weighted emission factor is determined as the greenhouse gas emission reduction corresponding to the optimized layout scheme; The product of the greenhouse gas emission reduction and the preset carbon price is determined as the greenhouse gas emission reduction benefit corresponding to the optimized layout scheme.

9. The system according to claim 1, characterized in that, The ecological collaborative optimization module is specifically used for: The economic benefits of each optimized layout scheme are determined based on the net income corresponding to each optimized layout scheme. The comprehensive evaluation value corresponding to each optimized layout scheme is determined by the weighted sum of the economic and ecological benefits corresponding to each optimized layout scheme. The optimal layout scheme corresponding to the maximum value of the comprehensive evaluation value is determined as the target layout scheme, and / or the optimal layout scheme corresponding to the maximum value of the economic benefits is determined as the target layout scheme.

10. A photovoltaic design method based on ecological environment system optimization, characterized in that, The method includes: The preliminary design results of the photovoltaic power station are determined based on the initial data of the power station area where the photovoltaic power station is located; wherein, the preliminary design results include the preliminary layout scheme of the photovoltaic array in the photovoltaic power station and the preliminary quantitative results of the power generation capacity; If the preliminary design results are optimized, at least one optimized layout scheme is determined based on the economic benefits of each candidate layout scheme after optimization. If an ecological evaluation is conducted on each optimized layout scheme, the corresponding ecological benefits of each optimized layout scheme can be determined. Based on the economic benefits and / or ecological benefits corresponding to each optimized layout scheme, the target layout scheme is determined.

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