Distributed photovoltaic site selection method and system

Abstract

The invention discloses a distributed photovoltaic site selection method and system, and the method comprises the steps: obtaining the illumination data of a distributed photovoltaic site selection region, and dividing the site selection region into a plurality of regions based on the illumination data; key illumination parameters influencing photovoltaic power generation are determined from the illumination data, and the illumination condition is analyzed and evaluated based on the key illumination parameters to obtain an illumination evaluation value; acquiring meteorological data, setting a correction coefficient based on the meteorological data, and correcting the illumination evaluation value according to the correction coefficient; screening each region based on the corrected illumination evaluation value, and taking the screened region as a candidate site selection region; and obtaining a user distribution map in the candidate site selection area, and determining a final site selection site of the distributed photovoltaic in the candidate site selection area based on analysis of the user distribution map. By analyzing the illumination data, the meteorological data and the user distribution data, a scientific and reasonable basis is provided for site selection of the distributed photovoltaic project, and the efficiency and the economical efficiency of photovoltaic power generation are improved to the maximum extent.

Description

Technical Field

[0001] The present invention relates to the field of distributed photovoltaic technology, and in particular to a distributed photovoltaic site selection method and system. Background Art

[0002] As the demand for renewable energy continues to grow, distributed photovoltaic power generation has attracted widespread attention as a clean and sustainable form of energy. The efficiency and performance of photovoltaic power generation largely depend on the rationality of site selection, so the optimization of site selection methods is crucial to the successful implementation of photovoltaic projects.

[0003] However, the evaluation of light conditions in traditional methods is often simplified, and may only consider the number of sunshine hours or average light intensity, while ignoring other factors of light, resulting in low accuracy of site selection and low efficiency of photovoltaic power generation; at the same time, traditional methods often ignore the impact of meteorological factors on light conditions during site selection, and often fail to fully consider these factors; and traditional methods often focus on light conditions when selecting sites, but ignore full consideration of user needs, lacking integration and matching analysis of photovoltaic projects and user needs. Therefore, traditional methods are often limited by data processing capabilities and analysis methods in the analysis of light data, meteorological data and user distribution data, making it difficult to conduct in-depth and comprehensive data analysis and evaluation. Summary of the invention

[0004] In order to solve the above technical problems, the present invention provides a distributed photovoltaic site selection method and system, including:

[0005] Obtain the illumination data of the distributed photovoltaic site selection area, and divide the site selection area into several areas based on the illumination data;

[0006] Determine the key lighting parameters that affect photovoltaic power generation from the lighting data, and analyze and evaluate the lighting conditions in each area based on the key lighting parameters to obtain the lighting evaluation value of each area;

[0007] Obtaining meteorological data for each area, setting a correction coefficient based on the meteorological data, and correcting the light evaluation value of each area according to the correction coefficient;

[0008] Screening each area based on the corrected light evaluation value, and using the screened areas as candidate site selection areas;

[0009] A user distribution map within the candidate site selection area is obtained, and based on the analysis of the user distribution map, a final site selection location for distributed photovoltaics is determined within the candidate site selection area.

[0010] Furthermore, the acquisition of the illumination data of the distributed photovoltaic site selection area and the division of the site selection area into several areas based on the illumination data include:

[0011] Obtain the illumination data of the distributed photovoltaic site selection area and extract the solar radiation data from the illumination data;

[0012] Obtain the location information corresponding to the solar radiation data, and construct a solar radiation-location dataset based on the solar radiation data and the corresponding location information;

[0013] Randomly select k initial cluster centers and calculate the Euclidean distance from the data in the solar radiation-position dataset to the initial cluster centers;

[0014] Divide each solar radiation data into corresponding clusters according to the Euclidean distance from the data in the solar radiation-position dataset to the initial cluster center;

[0015] Calculate the average value of all solar radiation data in each cluster, and update the cluster center according to the average value of all solar radiation data in each cluster;

[0016] Repeat the iteration according to the updated cluster centers until the cluster centers no longer change, and obtain k final cluster centers;

[0017] The solar radiation data in the solar radiation-location dataset are divided into k clusters according to the Euclidean distance from the solar radiation data to the final cluster center, and each cluster represents each divided area in the site selection area.

[0018] Furthermore, determining the key illumination parameters affecting photovoltaic power generation from the illumination data includes:

[0019] Divide the illumination data into several illumination parameter data groups according to parameter types, and obtain the power generation data of distributed photovoltaics in the selected site area;

[0020] Analyze the correlation between each illumination parameter data group and the power generation data, and select the illumination parameter data group with a correlation greater than a preset value as a candidate illumination parameter in the illumination data that affects photovoltaic power generation;

[0021] For each candidate illumination parameter, screen the distributed photovoltaic power generation data when other candidate illumination parameters are the same, and determine the power generation change in the distributed photovoltaic power generation data;

[0022] The candidate illumination parameters whose power generation variation is greater than a preset threshold are selected and determined as key illumination parameters affecting photovoltaic power generation.

[0023] Furthermore, the lighting conditions of each area are analyzed and evaluated based on the key lighting parameters to obtain the lighting evaluation value of each area, including:

[0024] Obtain each key lighting parameter and its corresponding power generation change and preset threshold, and calculate the difference between the power generation change corresponding to each key lighting parameter and the preset threshold, and use each difference as the weight coefficient corresponding to each key lighting parameter;

[0025] Obtaining the key lighting parameters corresponding to each area, determining the values ​​corresponding to each key lighting parameter, and evaluating each value to obtain an evaluation value of each key lighting parameter;

[0026] The evaluation value of the key lighting parameter corresponding to each area is weighted and added to the corresponding weight coefficient to obtain the lighting evaluation value of each area.

[0027] Furthermore, the obtaining of meteorological data of each area, setting a correction coefficient based on the meteorological data, and correcting the illumination evaluation value of each area according to the correction coefficient includes:

[0028] Obtain meteorological data for each region, extract the percentage of cloudy days in each region in each month from the meteorological data, and calculate the average of all percentage values ​​to obtain the average percentage value;

[0029] A correction coefficient-proportion average value interval correspondence relationship is preset, and a corresponding correction coefficient is associated with each proportion average value interval;

[0030] Obtaining the average value of the proportion, and based on the mapping relationship between the average value interval of the proportion to which the average value belongs and the correction coefficient-average value interval correspondence relationship, selecting the correction coefficient corresponding to the average value interval of the proportion;

[0031] The light evaluation value of each area is multiplied according to the correction coefficient to complete the correction of the light evaluation value of each area.

[0032] Furthermore, the method of screening each area based on the corrected illumination evaluation value and using the screened areas as candidate site selection areas includes:

[0033] Obtaining the corrected illumination evaluation value of each area, and comparing the corrected illumination evaluation value of each area with a preset value;

[0034] The areas exceeding the preset values ​​are screened out as candidate site selection areas.

[0035] Furthermore, the obtaining of a user distribution map in the candidate site selection area and determining the final site selection location of the distributed photovoltaic system in the candidate site selection area based on an analysis of the user distribution map includes:

[0036] Obtain a user distribution map within the candidate site selection area, and determine the distribution location of the user from the user distribution map;

[0037] Among all the users' distribution locations, a location with the same distance from each user is selected as the final site selection for distributed photovoltaics.

[0038] The present invention also provides a distributed photovoltaic site selection system, comprising:

[0039] An acquisition module is used to acquire the illumination data of the distributed photovoltaic site selection area, and divide the site selection area into several areas based on the illumination data;

[0040] An evaluation module is used to determine key illumination parameters that affect photovoltaic power generation from illumination data, and analyze and evaluate the illumination conditions of each area based on the key illumination parameters to obtain an illumination evaluation value for each area;

[0041] A correction module, used to obtain meteorological data of each area, set a correction coefficient based on the meteorological data, and correct the light evaluation value of each area according to the correction coefficient;

[0042] A screening module, used for screening each area based on the corrected light evaluation value, and taking the screened areas as candidate site selection areas;

[0043] The determination module is used to obtain a user distribution map in the candidate site selection area, and based on the analysis of the user distribution map, determine the final site selection location of the distributed photovoltaic in the candidate site selection area.

[0044] Compared with the prior art, the distributed photovoltaic site selection method and system according to the embodiment of the present invention have the following beneficial effects:

[0045] By acquiring and analyzing illumination data, the present invention can evaluate the illumination conditions in the site selection area, determine the area with better illumination conditions, and provide a scientific basis for the site selection of distributed photovoltaic projects;

[0046] By determining the key illumination parameters that affect photovoltaic power generation, the present invention can provide an in-depth understanding of the mechanism of the influence of illumination on photovoltaic power generation, and provide an important reference for the subsequent design and operation of photovoltaic projects;

[0047] The present invention combines meteorological data analysis with the setting of correction coefficients to more accurately evaluate lighting conditions, consider the impact of meteorological factors on lighting, and improve the accuracy of lighting evaluation;

[0048] The present invention screens the corrected illumination evaluation values ​​and finally determines the candidate site selection area with suitable illumination conditions, thus providing a scientific basis for the final distributed photovoltaic site selection.

[0049] The present invention combines the analysis of user distribution maps to determine the final distributed photovoltaic site selection location, taking into account lighting conditions and potential user needs, and provides basic support for the implementation and operation of photovoltaic projects;

[0050] In summary, the present invention provides a scientific and reasonable basis for the site selection of distributed photovoltaic projects through the analysis of illumination data, meteorological data and user distribution data, maximizes the efficiency and economy of photovoltaic power generation, and takes into account user needs and illumination conditions, laying the foundation for the successful implementation and operation of the project. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 It is a schematic diagram of the process structure of the site selection method for distributed photovoltaics in an embodiment of the present invention;

[0052] Figure 2 It is a schematic diagram of the composition of the site selection system for distributed photovoltaics in an embodiment of the present invention. DETAILED DESCRIPTION

[0053] The specific implementation methods of the present application are further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0054] In the description of the present application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the platform or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0055] The terms "second" and "second" are used for descriptive purposes only and should not be understood as indicating or implying a relative degree of importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined with "second" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "multiple" means two or more.

[0056] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a cooling connection, or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal connection of two components. For ordinary technical personnel in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0057] like Figure 1 As shown, in an embodiment of the present application, a distributed photovoltaic site selection method is provided, including: S100: obtaining illumination data of a distributed photovoltaic site selection area, and dividing the site selection area into a plurality of regions based on the illumination data; S200: determining key illumination parameters that affect photovoltaic power generation from the illumination data, and analyzing and evaluating the illumination conditions of each region based on the key illumination parameters to obtain an illumination evaluation value for each region; S300: obtaining meteorological data for each region, setting a correction coefficient based on the meteorological data, and correcting the illumination evaluation value of each region according to the correction coefficient; S400: screening each region based on the corrected illumination evaluation value, and using the screened regions as candidate site selection regions; S500: obtaining a user distribution map within the candidate site selection region, and determining the final site selection location of the distributed photovoltaics within the candidate site selection region based on the analysis of the user distribution map.

[0058] Furthermore, the present invention can evaluate the lighting conditions in the site selection area by acquiring and analyzing lighting data, determine the area with better lighting conditions, and provide a scientific basis for the site selection of distributed photovoltaic projects; the present invention can deeply understand the influence mechanism of lighting on photovoltaic power generation by determining the key lighting parameters that affect photovoltaic power generation, and provide an important reference for the subsequent design and operation of photovoltaic projects; the present invention can more accurately evaluate the lighting conditions by combining meteorological data analysis and correction coefficient setting, consider the influence of meteorological factors on lighting, and improve the accuracy of lighting evaluation; the present invention finally determines the candidate site selection area with suitable lighting conditions by screening the corrected lighting evaluation value, and provides a scientific basis for the final distributed photovoltaic site selection; the present invention determines the final distributed photovoltaic site selection location by combining the analysis of user distribution map, considers lighting conditions and potential user needs, and provides basic support for the implementation and operation of photovoltaic projects; the present invention provides a scientific and reasonable basis for the site selection of distributed photovoltaic projects by analyzing lighting data, meteorological data and user distribution data, maximizes the efficiency and economy of photovoltaic power generation, and takes into account user needs and lighting conditions, laying a foundation for the successful implementation and operation of the project.

[0059] In an embodiment of the present application, a distributed photovoltaic site selection method is provided, wherein the illumination data of a distributed photovoltaic site selection area is obtained, and the site selection area is divided into a plurality of areas based on the illumination data, including: obtaining illumination data of a distributed photovoltaic site selection area, and extracting solar radiation data from the illumination data; obtaining location information corresponding to the solar radiation data, and constructing a solar radiation-location data set based on the solar radiation data and the corresponding location information; randomly selecting k initial clustering centers, and calculating the Euclidean distance from the data in the solar radiation-location data set to the initial clustering center; dividing each solar radiation data into a corresponding cluster according to the Euclidean distance from the data in the solar radiation-location data set to the initial clustering center; calculating the average value of all solar radiation data in each cluster, and updating the clustering center according to the average value of all solar radiation data in each cluster; performing repeated iterations according to the updated clustering center until the clustering center no longer changes, and obtaining k final clustering centers; dividing the solar radiation data in the solar radiation-location data set into k clusters according to the Euclidean distance from the solar radiation data to the final clustering center, and each cluster represents each divided area in the site selection area.

[0060] Specifically, the illumination data of the distributed photovoltaic site selection area is obtained, and the solar radiation data is extracted from it. At the same time, the location information corresponding to the solar radiation data needs to be obtained, which can be the location information such as the longitude and latitude coordinates of each point in the site selection area; the solar radiation data and the corresponding location information are integrated together to construct a solar radiation-location data set. This data set will include the solar radiation intensity and the corresponding location information for subsequent clustering analysis; clustering analysis methods, such as the k-means clustering algorithm, are used to cluster the solar radiation-location data set. This process includes the following steps: initialization: randomly select k initial clustering centers; assign data points: calculate the solar radiation- The Euclidean distance from the data in the location data set to the initial cluster center is used to divide each solar radiation data into the corresponding cluster; update the cluster center: calculate the average value of all solar radiation data in each cluster, and update the cluster center based on these average values; iterative update: repeat the iteration based on the updated cluster center until the cluster center no longer changes, and obtain k final cluster centers; based on the final cluster center, divide the solar radiation data in the solar radiation-location data set into k clusters, and each cluster represents each area divided in the site selection area. These clusters can be used to represent the spatial distribution of solar radiation intensity in the site selection area, which helps to determine the best photovoltaic site selection location.

[0061] In an embodiment of the present application, a method for site selection of distributed photovoltaics is provided, wherein the method determines key lighting parameters that affect photovoltaic power generation from lighting data, including: dividing the lighting data into a number of lighting parameter data groups according to parameter type, and obtaining power generation data of distributed photovoltaics in the site selection area; analyzing the correlation between each lighting parameter data group and the power generation data, and selecting lighting parameter data groups with a correlation greater than a preset value as candidate lighting parameters in the lighting data that affect photovoltaic power generation; for each candidate lighting parameter, screening the power generation data of distributed photovoltaics when other candidate lighting parameters are the same, and determining the power generation change in the power generation data of the distributed photovoltaics; selecting candidate lighting parameters with a power generation change greater than a preset threshold, and determining them as key lighting parameters that affect photovoltaic power generation.

[0062] Specifically, the illumination data is divided into several illumination parameter data groups according to parameter type, including illumination parameter data groups under different time periods and different weather conditions; the power generation data of distributed photovoltaics in the selected area is obtained; a correlation analysis is performed on each illumination parameter data group and the power generation data to determine the correlation between them, and a statistical method or correlation analysis method, such as the Pearson correlation coefficient, is used to measure the correlation between them; illumination parameter data groups with correlations greater than a preset value are selected as candidate illumination parameters in the illumination data that affect photovoltaic power generation; for each candidate illumination parameter, the power generation data of distributed photovoltaics when other candidate illumination parameters are the same are screened, and the power generation change in the power generation data of the distributed photovoltaics is determined; the candidate illumination parameters with power generation changes greater than a preset threshold are selected and determined as key illumination parameters that affect photovoltaic power generation.

[0063] In an embodiment of the present application, a distributed photovoltaic site selection method is provided, wherein the lighting conditions of each area are analyzed and evaluated based on key lighting parameters to obtain a lighting evaluation value for each area, including: obtaining each key lighting parameter and its corresponding power generation change and a preset threshold, and respectively calculating the difference between the power generation change corresponding to each key lighting parameter and the preset threshold, and using each difference as a weight coefficient corresponding to each key lighting parameter; obtaining the key lighting parameters corresponding to each area, determining the numerical value corresponding to each key lighting parameter, and evaluating each numerical value to obtain an evaluation value of each key lighting parameter; and performing weighted addition calculation on the evaluation value of the key lighting parameter corresponding to each area and the corresponding weight coefficient to obtain a lighting evaluation value for each area.

[0064] Specifically, each key lighting parameter and its corresponding power generation change and preset threshold are obtained, and these parameters may include the power generation change under different lighting conditions and the corresponding preset threshold; the difference between the power generation change corresponding to each key lighting parameter and the preset threshold is calculated, and each difference is used as the weight coefficient corresponding to each key lighting parameter, and this difference can reflect the influence of the lighting parameter on the power generation change; the key lighting parameter corresponding to each area is determined, and the specific value of the key lighting parameter corresponding to each area is obtained; the value of each key lighting parameter is evaluated and valued to obtain the evaluation value of each key lighting parameter, and this evaluation value can reflect the specific level of the lighting parameter in the area; the evaluation value of the key lighting parameter corresponding to each area is weighted and added with the corresponding weight coefficient to obtain the lighting evaluation value of each area, and this evaluation value comprehensively considers the influence of each key lighting parameter in the area, so as to obtain a comprehensive evaluation of the lighting conditions in the area.

[0065] In an embodiment of the present application, a distributed photovoltaic site selection method is provided, wherein meteorological data of each area is obtained, a correction coefficient is set based on the meteorological data, and the light evaluation value of each area is corrected according to the correction coefficient, including: obtaining meteorological data of each area, extracting the proportion of cloudy days in each month in each area from the meteorological data, and calculating the average of all proportions to obtain a proportion average value; presetting a correction coefficient-proportion average value interval correspondence relationship, and the correction coefficient-proportion average value interval correspondence relationship is associated with a corresponding correction coefficient for each proportion average value interval; obtaining the proportion average value, and selecting the correction coefficient corresponding to the proportion average value interval based on a mapping relationship between the proportion average value interval to which the average value belongs within the correction coefficient-proportion average value interval correspondence relationship; multiplying the light evaluation value of each area according to the correction coefficient to complete the correction of the light evaluation value of each area.

[0066] Specifically, the proportion of cloudy days in each region in each month is extracted from meteorological data by counting the number of cloudy days in each month and calculating its proportion in the whole month; the average of all proportion values ​​is calculated to obtain the average proportion of cloudy days; the correction coefficient-proportion average interval correspondence is pre-set, that is, the corresponding correction coefficient is set according to different intervals of the average proportion of cloudy days; the average proportion of cloudy days in each region is obtained, and the correction coefficient corresponding to the proportion average interval is selected according to the preset correction coefficient-proportion average interval correspondence; according to the correction coefficient, the light evaluation value of each region is multiplied to complete the correction of the light evaluation value of each region. Through this process, the light evaluation value can be corrected according to the proportion of cloudy days in each region to more accurately reflect the light conditions of the region, and the influence of meteorological factors on light conditions can be better considered to improve the accuracy of light evaluation.

[0067] In an embodiment of the present application, a distributed photovoltaic site selection method is provided, wherein each area is screened based on the corrected light evaluation value, and the screened areas are used as candidate site selection areas, including: obtaining the corrected light evaluation value of each area, and comparing the corrected light evaluation value of each area with a preset value; and screening out areas exceeding the preset value as candidate site selection areas.

[0068] Specifically, according to the correction coefficient in the above steps, the light evaluation value of each area is multiplied to obtain the corrected light evaluation value; the corrected light evaluation value of each area is compared with the preset value to determine which areas have light evaluation values ​​exceeding the preset value, and the areas exceeding the preset value are screened out as candidate site selection areas. Through this process, it is possible to determine which areas have light conditions exceeding the preset value based on the comparison between the corrected light evaluation value and the preset value, so as to find areas with better light conditions as candidate site selection areas, providing an important reference for the site selection of photovoltaic projects.

[0069] In an embodiment of the present application, a method for site selection of distributed photovoltaics is provided, wherein a user distribution map within a candidate site selection area is obtained, and based on an analysis of the user distribution map, a final site selection location of distributed photovoltaics is determined within the candidate site selection area, including: obtaining a user distribution map within the candidate site selection area, and determining the distribution positions of the users from the user distribution map; and selecting a position with the same distance from each user from the distribution positions of all users as the final site selection location of distributed photovoltaics.

[0070] Specifically, the user distribution data in the candidate site selection area is obtained and drawn into a user distribution map. The user distribution map is a map that shows the location distribution of different users in the area; the user distribution location is determined from the user distribution map, which can be a specific building, residential area or other location where users are concentrated; among all the user distribution locations, a location with the same distance from each user is selected as the final site selection location for distributed photovoltaics. This is done by measuring and analyzing around the user distribution location to find a location with the same distance from each user. Through this process, the user distribution location can be determined through the user distribution map, and a location with the same distance from each user is selected from all the user distribution locations as the final site selection location for distributed photovoltaics. The best distributed photovoltaic site selection location can be found while considering user needs.

[0071] like Figure 2As shown, in an embodiment of the present application, a distributed photovoltaic site selection system is provided, including: an acquisition module, used to acquire the illumination data of the distributed photovoltaic site selection area, and divide the site selection area into several areas based on the illumination data; an evaluation module, used to determine the key illumination parameters affecting photovoltaic power generation from the illumination data, and analyze and evaluate the illumination conditions of each area based on the key illumination parameters to obtain the illumination evaluation value of each area; a correction module, used to acquire the meteorological data of each area, set a correction coefficient based on the meteorological data, and correct the illumination evaluation value of each area according to the correction coefficient; a screening module, used to screen each area based on the corrected illumination evaluation value, and use the screened areas as candidate site selection areas; a determination module, used to acquire the user distribution map in the candidate site selection area, and determine the final site selection location of the distributed photovoltaic in the candidate site selection area based on the analysis of the user distribution map.

[0072] In summary, the embodiment of the present invention provides a distributed photovoltaic site selection method and system, which includes: obtaining the illumination data of the distributed photovoltaic site selection area, and dividing the site selection area into several areas based on the illumination data; determining the key illumination parameters that affect photovoltaic power generation from the illumination data, and analyzing and evaluating the illumination conditions based on the illumination data to obtain an illumination evaluation value; obtaining meteorological data, setting a correction coefficient based on the illumination data, and correcting the illumination evaluation value according to the correction coefficient; screening each area based on the corrected illumination evaluation value, and using the screened areas as candidate site selection areas; obtaining a user distribution map within the candidate site selection area, and determining the final site selection location of the distributed photovoltaic in the candidate site selection area based on the analysis of the user distribution map. The present invention provides a scientific and reasonable basis for the site selection of distributed photovoltaic projects through the analysis of illumination data, meteorological data and user distribution data, and maximizes the efficiency and economy of photovoltaic power generation.

[0073] Finally, it should be noted that: Obviously, a person skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the present invention and its equivalent technology, the present invention is also intended to include these modifications and variations.

[0074] The above is only an example of implementation of the present invention, but it cannot be used to limit the scope of the present invention. Any structural changes made according to the present invention, as long as they do not lose the essence of the present invention, should be regarded as falling within the scope of protection of the present invention and being restricted. Technical personnel in the relevant technical field can clearly understand that for the convenience and simplicity of description, the specific working process and related instructions of the platform described above can refer to the corresponding process in the aforementioned platform embodiment, and will not be repeated here.

[0075] The term "comprises" or any other similar term is intended to cover a non-exclusive inclusion such that a process, platform, article, or apparatus / platform that includes a list of elements includes not only those elements but also other elements not expressly listed or inherent to such process, platform, article, or apparatus / platform.

[0076] So far, the technical solutions of the present invention have been described in conjunction with the further embodiments shown in the accompanying drawings. However, it is easy for a person skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, a person skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0077] The above description is only a preferred embodiment of the present invention and is not intended to limit the protection scope of the present invention.

Claims

1. A method for site selection of distributed photovoltaics, characterized in that: include: Obtain the illumination data of the distributed photovoltaic site selection area, and divide the site selection area into several areas based on the illumination data; Determine the key lighting parameters that affect photovoltaic power generation from the lighting data, and analyze and evaluate the lighting conditions in each area based on the key lighting parameters to obtain the lighting evaluation value of each area; Obtaining meteorological data for each area, setting a correction coefficient based on the meteorological data, and correcting the light evaluation value of each area according to the correction coefficient; Screening each area based on the corrected light evaluation value, and using the screened areas as candidate site selection areas; A user distribution map within the candidate site selection area is obtained, and based on the analysis of the user distribution map, a final site selection location for distributed photovoltaics is determined within the candidate site selection area.

2. A distributed photovoltaic site selection method according to claim 1, characterized in that: The method of obtaining the illumination data of the distributed photovoltaic site selection area and dividing the site selection area into several areas based on the illumination data includes: Obtain the illumination data of the distributed photovoltaic site selection area and extract the solar radiation data from the illumination data; Obtain the location information corresponding to the solar radiation data, and construct a solar radiation-location dataset based on the solar radiation data and the corresponding location information; Randomly select k initial cluster centers and calculate the Euclidean distance from the data in the solar radiation-position dataset to the initial cluster centers; Divide each solar radiation data into corresponding clusters according to the Euclidean distance from the data in the solar radiation-position dataset to the initial cluster center; Calculate the average value of all solar radiation data in each cluster, and update the cluster center according to the average value of all solar radiation data in each cluster; Repeat the iteration according to the updated cluster centers until the cluster centers no longer change, and obtain k final cluster centers; The solar radiation data in the solar radiation-location dataset are divided into k clusters according to the Euclidean distance from the solar radiation data to the final cluster center, and each cluster represents each divided area in the site selection area.

3. A distributed photovoltaic site selection method according to claim 2, characterized in that: Determining the key illumination parameters affecting photovoltaic power generation from the illumination data includes: Divide the illumination data into several illumination parameter data groups according to parameter types, and obtain the power generation data of distributed photovoltaics in the selected site area; Analyze the correlation between each illumination parameter data group and the power generation data, and select the illumination parameter data group with a correlation greater than a preset value as a candidate illumination parameter in the illumination data that affects photovoltaic power generation; For each candidate illumination parameter, screen the distributed photovoltaic power generation data when other candidate illumination parameters are the same, and determine the power generation change in the distributed photovoltaic power generation data; The candidate illumination parameters whose power generation variation is greater than a preset threshold are selected and determined as key illumination parameters affecting photovoltaic power generation.

4. A distributed photovoltaic site selection method according to claim 3, characterized in that: The lighting condition of each area is analyzed and evaluated based on the key lighting parameters to obtain the lighting evaluation value of each area, including: Obtain each key lighting parameter and its corresponding power generation change and preset threshold, and calculate the difference between the power generation change corresponding to each key lighting parameter and the preset threshold, and use each difference as the weight coefficient corresponding to each key lighting parameter; Obtaining the key lighting parameters corresponding to each area, determining the values ​​corresponding to each key lighting parameter, and evaluating each value to obtain an evaluation value of each key lighting parameter; The evaluation value of the key lighting parameter corresponding to each area is weighted and added to the corresponding weight coefficient to obtain the lighting evaluation value of each area.

5. A distributed photovoltaic site selection method according to claim 4, characterized in that: The obtaining of meteorological data of each area, setting a correction coefficient based on the meteorological data, and correcting the illumination evaluation value of each area according to the correction coefficient includes: Obtain meteorological data for each region, extract the percentage of cloudy days in each region in each month from the meteorological data, and calculate the average of all percentage values ​​to obtain the average percentage value; A correction coefficient-proportion average value interval correspondence relationship is preset, and a corresponding correction coefficient is associated with each proportion average value interval; Obtaining the average value of the proportion, and based on the mapping relationship between the average value interval of the proportion to which the average value belongs and the correction coefficient-average value interval correspondence relationship, selecting the correction coefficient corresponding to the average value interval of the proportion; The light evaluation value of each area is multiplied according to the correction coefficient to complete the correction of the light evaluation value of each area.

6. A distributed photovoltaic site selection method according to claim 5, characterized in that: The method of screening each area based on the corrected illumination evaluation value and using the screened areas as candidate site selection areas includes: Obtaining the corrected illumination evaluation value of each area, and comparing the corrected illumination evaluation value of each area with a preset value; The areas exceeding the preset values ​​are screened out as candidate site selection areas.

7. A distributed photovoltaic site selection method according to claim 6, characterized in that: The method of obtaining a user distribution map in the candidate site selection area and determining a final site selection location of distributed photovoltaics in the candidate site selection area based on an analysis of the user distribution map includes: Obtain a user distribution map within the candidate site selection area, and determine the distribution location of the user from the user distribution map; Among all the users' distribution locations, a location with the same distance from each user is selected as the final site selection for distributed photovoltaics.

8. A distributed photovoltaic site selection system, characterized in that: include: An acquisition module is used to acquire the illumination data of the distributed photovoltaic site selection area, and divide the site selection area into several areas based on the illumination data; An evaluation module is used to determine key illumination parameters that affect photovoltaic power generation from illumination data, and analyze and evaluate the illumination conditions of each area based on the key illumination parameters to obtain an illumination evaluation value for each area; A correction module, used to obtain meteorological data of each area, set a correction coefficient based on the meteorological data, and correct the light evaluation value of each area according to the correction coefficient; A screening module, used for screening each area based on the corrected light evaluation value, and taking the screened areas as candidate site selection areas; The determination module is used to obtain a user distribution map in the candidate site selection area, and based on the analysis of the user distribution map, determine the final site selection location of the distributed photovoltaic in the candidate site selection area.

Images