CN117394310A - Method and system for calculating area light Fu Dengxiao light resources affected by multiple weather types - Google Patents
Method and system for calculating area light Fu Dengxiao light resources affected by multiple weather types Download PDFInfo
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Abstract
The invention provides a method and a system for calculating regional light Fu Dengxiao light resources affected by multiple weather types, comprising the following steps: determining the weather type of each grid according to the total cloud cover of each grid in the area; determining the weather type of each photovoltaic power station according to the weather type of each grid and the longitude and latitude information of each photovoltaic power station in the area; based on the weather types of all the photovoltaic power stations and the earth surface solar radiation values of all the photovoltaic power stations, calculating equivalent light resources of the photovoltaic power stations affected by different weather types in the area by adopting a weighted average method; according to the method, the cloud amount information of each grid in the area is utilized, multiple weather types of the grids are extracted, the equivalent light resource values of the photovoltaic power stations affected by different weather types are calculated by combining the surface solar radiation in the weather type influence range, the equivalent light resource fluctuation condition of each photovoltaic power station in the multiple weather influence range can be effectively obtained, and reference information is provided for new energy to cope with the multiple weather influences.
Description
Technical Field
The invention belongs to the technical field of new energy, and particularly relates to a method and a system for calculating regional light Fu Dengxiao light resources affected by multiple weather types.
Background
At present, photovoltaic power generation is used as a relatively mature power generation type in the technical field of new energy. The light resource is greatly fluctuated due to different weather types, which is also an important factor influencing the uncertainty of photovoltaic power generation, the photovoltaic module generates different degrees of shielding effect due to different weather types, the solar radiation value on the ground surface is weakened to different degrees due to the absorption and conversion of solar radiation, and the photovoltaic influence change caused by different weather types is more remarkable along with the rapid increase of the current photovoltaic power generation scale.
Disclosure of Invention
To overcome the above-mentioned drawbacks of the prior art, the present application proposes a method for calculating an area light Fu Dengxiao light resource affected by multiple weather types, including:
determining the weather type of each grid according to the total cloud cover of each grid in the area;
determining the weather type of each photovoltaic power station according to the weather type of each grid and the longitude and latitude information of each photovoltaic power station in the area;
and calculating equivalent light resources of the photovoltaic power stations affected by different weather types in the area by adopting a weighted average method based on the weather types of the photovoltaic power stations and the earth surface solar radiation values of the photovoltaic power stations.
Preferably, the determining the weather type of each photovoltaic power station according to the weather type of each grid and the longitude and latitude information of each photovoltaic power station in the area includes:
according to longitude and latitude information of each photovoltaic power station in the area, calculating the distance between each photovoltaic power station and each grid;
and according to the distance between each photovoltaic power station and each grid, selecting the weather type of the grid closest to each photovoltaic power station as the weather type of each photovoltaic power station.
Preferably, the determining the weather type of each grid according to the total cloud cover of each grid in the area includes:
when the proportion of the total cloud amount of grids in the area to the area of the corresponding grid is in a first range, the weather type of the grid is sunny days;
when the proportion of the total cloud amount of grids in the area to the area of the corresponding grid is in a second range, the weather type of the grid is less cloud days;
when the proportion of the total cloud amount of grids in the area to the area of the corresponding grid is in a third range, the weather type of the grid is cloudy days;
when the proportion of the total cloud amount of grids in the area to the area of the corresponding grid is in a fourth range, the weather type of the grid is overcast days;
wherein any value in the first range is less than any value in the second range, and any value in the second range is less than any value in the third range, and any value in the third range is less than any value in the fourth range.
Preferably, the surface solar radiation value of each photovoltaic power station comprises the following acquisition process:
according to the earth surface solar radiation value of each grid in the area and the longitude and latitude information of each photovoltaic power station, the longitude and latitude information of each photovoltaic power station is used as an interpolation point, and the earth surface solar radiation value of the grid corresponding to each photovoltaic power station is interpolated into the corresponding photovoltaic power station to obtain the earth surface solar radiation value of each photovoltaic power station.
Preferably, the calculating, based on the weather type of each photovoltaic power station and the surface solar radiation value of each photovoltaic power station, the equivalent light resources of the photovoltaic power stations affected by different weather types in the area by using a weighted average method includes:
obtaining the number of photovoltaic power stations affected by each weather type in the area based on the weather type of each photovoltaic power station;
and calculating the equivalent light resource value of the photovoltaic power stations affected by each weather type in the area by adopting a weighted average method according to the quantity of the photovoltaic power stations affected by each weather type in the area, the installed capacity of the photovoltaic power stations and the surface solar radiation value of the photovoltaic power stations.
Preferably, the calculation formula corresponding to the equivalent light resource value of the photovoltaic power station affected by any air type in the area is as follows:
wherein E is equ Representing an equivalent optical resource value of the photovoltaic power plant affected by any one of the atmospheric types; n represents the number of photovoltaic power plants affected by the weather type; i= … n; m is M i Representing the installed capacity of the ith photovoltaic power plant; e (E) i Representing the surface solar radiation value of the ith photovoltaic power plant.
Based on the same inventive concept, the present invention further provides a regional light Fu Dengxiao light resource computing system with multiple weather type effects, including:
grid weather determination module: the weather type of each grid is determined according to the total cloud cover of each grid in the area;
the power station weather determining module: the method comprises the steps of determining the weather type of each photovoltaic power station according to the weather type of each grid and the longitude and latitude information of each photovoltaic power station in the area;
equivalent optical resource calculation module: and the method is used for calculating the equivalent light resources of the photovoltaic power stations affected by different weather types in the area by adopting a weighted average method based on the weather types of the photovoltaic power stations and the earth surface solar radiation values of the photovoltaic power stations.
Preferably, the power station weather determining module is specifically configured to:
according to longitude and latitude information of each photovoltaic power station in the area, calculating the distance between each photovoltaic power station and each grid;
and according to the distance between each photovoltaic power station and each grid, selecting the weather type of the grid closest to each photovoltaic power station as the weather type of each photovoltaic power station.
Preferably, the grid weather determining module is specifically configured to:
when the proportion of the total cloud amount of grids in the area to the area of the corresponding grid is in a first range, the weather type of the grid is sunny days;
when the proportion of the total cloud amount of grids in the area to the area of the corresponding grid is in a second range, the weather type of the grid is less cloud days;
when the proportion of the total cloud amount of grids in the area to the area of the corresponding grid is in a third range, the weather type of the grid is cloudy days;
when the proportion of the total cloud amount of grids in the area to the area of the corresponding grid is in a fourth range, the weather type of the grid is overcast days;
wherein any value in the first range is less than any value in the second range, and any value in the second range is less than any value in the third range, and any value in the third range is less than any value in the fourth range.
Preferably, the surface solar radiation value of each photovoltaic power station in the equivalent light resource calculation module comprises the following acquisition process:
according to the earth surface solar radiation value of each grid in the area and the longitude and latitude information of each photovoltaic power station, the longitude and latitude information of each photovoltaic power station is used as an interpolation point, and the earth surface solar radiation value of the grid corresponding to each photovoltaic power station is interpolated into the corresponding photovoltaic power station to obtain the earth surface solar radiation value of each photovoltaic power station.
Preferably, the equivalent optical resource calculating module is specifically configured to:
obtaining the number of photovoltaic power stations affected by each weather type in the area based on the weather type of each photovoltaic power station;
and calculating the equivalent light resource value of the photovoltaic power stations affected by each weather type in the area by adopting a weighted average method according to the quantity of the photovoltaic power stations affected by each weather type in the area, the installed capacity of the photovoltaic power stations and the surface solar radiation value of the photovoltaic power stations.
Preferably, a calculation formula corresponding to the equivalent light resource value of the photovoltaic power station affected by any air type in the area in the equivalent light resource calculation module is as follows:
wherein E is equ Representing an equivalent optical resource value of the photovoltaic power plant affected by any one of the atmospheric types; n represents the number of photovoltaic power plants affected by the weather type; i= … n; m is M i Representing the installed capacity of the ith photovoltaic power plant; e (E) i Representing the surface solar radiation value of the ith photovoltaic power plant.
Compared with the closest prior art, the invention has the following beneficial effects:
the invention provides a method and a system for calculating regional light Fu Dengxiao light resources affected by multiple weather types, comprising the following steps: determining the weather type of each grid according to the total cloud cover of each grid in the area; determining the weather type of each photovoltaic power station according to the weather type of each grid and the longitude and latitude information of each photovoltaic power station in the area; calculating equivalent light resources of the photovoltaic power stations affected by different weather types in the area by adopting a weighted average method based on the weather types of the photovoltaic power stations and the earth surface solar radiation values of the photovoltaic power stations; according to the method, the cloud amount information of each grid in the area is utilized, multiple weather types of the grids are extracted, the equivalent light resource values of the photovoltaic power stations affected by different weather types are calculated by combining the surface solar radiation in the weather type influence range, the equivalent light resource fluctuation condition of each photovoltaic power station in the multiple weather influence range can be effectively obtained, and reference information is provided for new energy to cope with the multiple weather influences.
Drawings
Fig. 1 is a schematic flow chart of a method for calculating regional light Fu Dengxiao light resources affected by multiple weather types according to the present invention;
FIG. 2 is a block flow diagram of an embodiment of a method for calculating regional light Fu Dengxiao optical resources with multiple weather types according to the present invention;
fig. 3 is a schematic structural diagram of a multi-weather-type-affected area light Fu Dengxiao optical resource computing system according to the present invention.
Detailed Description
The following describes in further detail the embodiments of the present patent application with reference to the accompanying drawings.
Example 1:
the present invention provides a method for calculating an optical resource of area light Fu Dengxiao affected by multiple weather types, and a flow chart is shown in fig. 1, including:
step 1: determining the weather type of each grid according to the total cloud cover of each grid in the area;
step 2: determining the weather type of each photovoltaic power station according to the weather type of each grid and the longitude and latitude information of each photovoltaic power station in the area;
step 3: and calculating equivalent light resources of the photovoltaic power stations affected by different weather types in the area by adopting a weighted average method based on the weather types of the photovoltaic power stations and the earth surface solar radiation values of the photovoltaic power stations.
Specifically, step 1 includes:
when the proportion of the total cloud amount of grids in the area to the area of the corresponding grid is in a first range, the weather type of the grid is sunny days;
when the proportion of the total cloud amount of grids in the area to the area of the corresponding grid is in a second range, the weather type of the grid is less cloud days;
when the proportion of the total cloud amount of grids in the area to the area of the corresponding grid is in a third range, the weather type of the grid is cloudy days;
when the proportion of the total cloud amount of grids in the area to the area of the corresponding grid is in a fourth range, the weather type of the grid is overcast days;
wherein any value in the first range is less than any value in the second range, and any value in the second range is less than any value in the third range, and any value in the third range is less than any value in the fourth range; preferably, the first range is 0 to 10%; the second range is 10% -30%; the third range is 30% -70% and the fourth range is 70% -100%.
Step 2, comprising:
according to longitude and latitude information of each photovoltaic power station in the area, calculating the distance between each photovoltaic power station and each grid;
and according to the distance between each photovoltaic power station and each grid, selecting the weather type of the grid closest to each photovoltaic power station as the weather type of each photovoltaic power station.
Step 3, including:
obtaining the number of photovoltaic power stations affected by each weather type in the area based on the weather type of each photovoltaic power station;
and calculating the equivalent light resource value of the photovoltaic power stations affected by each weather type in the area by adopting a weighted average method according to the quantity of the photovoltaic power stations affected by each weather type in the area, the installed capacity of the photovoltaic power stations and the surface solar radiation value of the photovoltaic power stations.
The surface solar radiation value of each photovoltaic power station comprises the following acquisition processes:
according to the earth surface solar radiation value of each grid in the area and the longitude and latitude information of each photovoltaic power station, the longitude and latitude information of each photovoltaic power station is used as an interpolation point, and the earth surface solar radiation value of the grid corresponding to each photovoltaic power station is interpolated into the corresponding photovoltaic power station to obtain the earth surface solar radiation value of each photovoltaic power station.
The calculation formula corresponding to the equivalent light resource value of the photovoltaic power station affected by any air type in the area is as follows:
wherein E is equ Representing an equivalent optical resource value of the photovoltaic power plant affected by any one of the atmospheric types; n represents the number of photovoltaic power plants affected by the weather type; i= … n; m is M i Representing the installed capacity of the ith photovoltaic power plant; e (E) i Representing the surface solar radiation value of the ith photovoltaic power plant.
According to the regional light Fu Dengxiao light resource calculation method for the multi-weather-type influence, regional light resource feature mining is conducted through the photovoltaic distribution difference in the weather-type influence range, the multi-weather-type influence grid region is judged through the total cloud quantity information of the grid, the average surface solar radiation of the region is obtained through taking the photovoltaic installed quantity as a weight coefficient, further equivalent light resource values of photovoltaic power stations in the four types of weather-type influence region are obtained, further equivalent light resource fluctuation conditions of each photovoltaic power station in the multi-type weather influence range are obtained, and reference information is provided for new energy to cope with the multi-type weather influence.
Example 2:
in a specific embodiment, the execution process of the method for calculating the regional light Fu Dengxiao light resource with multiple weather types influence provided by the invention is described, and a flow chart is shown in fig. 2, and the specific steps include:
1. collecting weather analysis data, comprising: the total cloud amount of grid histories in the area, the grid data of the earth surface solar radiation, the longitude and latitude information of the photovoltaic power stations in the area and the installed amount of each photovoltaic power station are preferably selected, the acquisition interval is 1h when the meteorological re-analysis data are acquired, and the continuous acquisition time length is more than 24h;
2. judging weather types of different grid points based on the grid history total cloud amount, judging the weather type of the position of the grid point by utilizing the area of each grid cloud amount accounting for the corresponding grid, and setting the grid points of the corresponding weather type in the judging area by utilizing different level threshold values of the total cloud amount in the analysis data to form weather type indication type data of the area; taking a certain t moment as a starting moment, and taking the total cloud quantity of the grid corresponding to the moment as C t Dividing cloud cover into 4 types of weather according to different cloud cover grades, wherein preferably, the cloud cover is 0-10% of the grid area is sunny days, the cloud cover is 10-30% of the grid area is less cloud days, the cloud cover is 30-70% of the grid area is cloudy days, and the cloud cover is 70-100% of the grid area is cloudy days; judging the weather type of the grid in the area by the total cloud amount in the grid accounting for the area of the corresponding grid, wherein the sunny day, the cloudy day and the cloudy day are respectively marked as 1, 2, 3 and 4, so that weather type indication data D of the area is formed;
3. determining the influence of the corresponding weather types on the photovoltaic power stations in the area by taking the area weather type indication type data D as a basis, determining the weather types of the corresponding photovoltaic power stations by utilizing the weather types of grids nearest to the photovoltaic power stations based on the longitude and latitude information of the photovoltaic power stations, and determining the quantity and longitude and latitude information of the photovoltaic power stations influenced by different weather types in the area; n photovoltaic power stations are arranged in the region, and longitude and latitude information (x) corresponding to any jth photovoltaic power station is used j ，y j ) The distance from any point D (p, q) in the data D is D,the corresponding p and q when d is the minimum value are respectively characterized as p j And q j Then the weather type indication data of the jth photovoltaic power plant is D (p j ，q j ) When D (p j ，q j ) When the weather type corresponding to the jth photovoltaic power station is judged to be sunny day when the weather type is=1, and the sites affected by the weather type in N photovoltaic power stations in the area are judged to be N 1 A plurality of; when D (p) j ，q j ) When the number of the weather types corresponding to the jth photovoltaic power station is judged to be less cloud days when the number of the weather types is less than 2, and the sites affected by the weather types in N photovoltaic power stations in the area are judged to be N 2 A plurality of; d (p) j ，q j ) When the weather type corresponding to the jth photovoltaic power station is judged to be cloudy days when the weather type is=3, and the sites affected by the weather type in N photovoltaic power stations in the area are judged to be N 3 A plurality of; when D (p) j ，q j ) When the number of the sites is=4, the weather type corresponding to the jth photovoltaic power station is judged to be overcast, and among N photovoltaic power stations in the area, the site affected by the weather type is judged to be N 4 A plurality of;
4. in the photovoltaic power stations affected by different weather types in the area, taking longitude and latitude information of each photovoltaic power station into consideration, interpolating meshing data of the surface solar radiation in meteorological analysis data to the longitude and latitude of the corresponding photovoltaic power station by a distance weighted average method, and further obtaining the surface solar radiation value of each photovoltaic power station; n affected by sunny day weather type in area 1 In the photovoltaic power station, according to any ith 1 Longitude and latitude information (x) corresponding to each photovoltaic power station i ，y i ) I is the interpolation point 1 ＝1，...，n 1 Interpolating the earth surface solar radiation grid data in the region to longitude and latitude of the corresponding photovoltaic power station to obtain earth surface solar radiation values of the corresponding photovoltaic power stationThe surface solar radiation values affected by the other three weather types are sequentially obtained in the same mode, and finally the weather type with less cloud days is obtainedThe surface solar radiation value of the affected photovoltaic power station is +.>The surface solar radiation value of the photovoltaic power station affected by the type of cloudy day is +.>The surface solar radiation value of the photovoltaic power station influenced by overcast day weather type is +.>
5. Calculating regional equivalent light resources according to the installed quantities of the photovoltaic power stations, multiplying the solar radiation values of the earth surface of each photovoltaic power station by the installed quantities of the corresponding photovoltaic power stations by using the installed quantities of the photovoltaic power stations as weighted weight coefficients, and carrying out weighted average on the photovoltaic power stations affected by different weather types to obtain average equivalent light resource values of the photovoltaic power stations affected by different weather types in the region; in terms of n affected by sunny day weather type in the area 1 A photovoltaic power plant is exemplified in which the ith 1 The installed quantity of each photovoltaic power station isEquivalent light resources E of all photovoltaic power plants within the area affected by this type of weather equ1 The method comprises the following steps:
wherein E is equ1 Representing equivalent light resources of the photovoltaic power plant affected by the type of sunny day weather; n is n 1 Representing the number of photovoltaic power stations in the area affected by the type of sunny day weather; i.e 1 ＝1，...，n 1 ；Represents the ith 1 The earth surface solar radiation value of each photovoltaic power station; />Represents the ith 1 The installed quantity of each photovoltaic power station; equivalent light resource E of photovoltaic power station affected by less cloud day weather type can be obtained by the same method equ2 The method comprises the steps of carrying out a first treatment on the surface of the Equivalent optical resource E of photovoltaic power station affected by type of cloudy day weather equ3 And equivalent light resource E of photovoltaic power station affected by overcast day weather type equ4 。
Example 3:
based on the same inventive concept, the present invention further provides a regional light Fu Dengxiao light resource computing system with multiple weather type effects, and the structural composition diagram is shown in fig. 3, including:
grid weather determination module: the weather type of each grid is determined according to the total cloud cover of each grid in the area;
the power station weather determining module: the method comprises the steps of determining the weather type of each photovoltaic power station according to the weather type of each grid and the longitude and latitude information of each photovoltaic power station in the area;
equivalent optical resource calculation module: and the method is used for calculating the equivalent light resources of the photovoltaic power stations affected by different weather types in the area by adopting a weighted average method based on the weather types of the photovoltaic power stations and the earth surface solar radiation values of the photovoltaic power stations.
The grid weather determining module is specifically configured to:
when the proportion of the total cloud amount of grids in the area to the area of the corresponding grid is in a first range, the weather type of the grid is sunny days;
when the proportion of the total cloud amount of grids in the area to the area of the corresponding grid is in a second range, the weather type of the grid is less cloud days;
when the proportion of the total cloud amount of grids in the area to the area of the corresponding grid is in a third range, the weather type of the grid is cloudy days;
when the proportion of the total cloud amount of grids in the area to the area of the corresponding grid is in a fourth range, the weather type of the grid is overcast days;
wherein any value in the first range is less than any value in the second range, and any value in the second range is less than any value in the third range, and any value in the third range is less than any value in the fourth range.
The power station weather determining module is specifically configured to:
according to longitude and latitude information of each photovoltaic power station in the area, calculating the distance between each photovoltaic power station and each grid;
and according to the distance between each photovoltaic power station and each grid, selecting the weather type of the grid closest to each photovoltaic power station as the weather type of each photovoltaic power station.
The equivalent optical resource calculation module is specifically configured to:
obtaining the number of photovoltaic power stations affected by each weather type in the area based on the weather type of each photovoltaic power station;
and calculating the equivalent light resource value of the photovoltaic power stations affected by each weather type in the area by adopting a weighted average method according to the quantity of the photovoltaic power stations affected by each weather type in the area, the installed capacity of the photovoltaic power stations and the surface solar radiation value of the photovoltaic power stations.
The surface solar radiation value of each photovoltaic power station in the equivalent light resource calculation module comprises the following acquisition processes:
according to the earth surface solar radiation value of each grid in the area and the longitude and latitude information of each photovoltaic power station, the longitude and latitude information of each photovoltaic power station is used as an interpolation point, and the earth surface solar radiation value of the grid corresponding to each photovoltaic power station is interpolated into the corresponding photovoltaic power station to obtain the earth surface solar radiation value of each photovoltaic power station.
The calculation formula corresponding to the equivalent light resource value of the photovoltaic power station affected by any air type in the area in the equivalent light resource calculation module is as follows:
wherein E is equ Representing an equivalent optical resource value of the photovoltaic power plant affected by any one of the atmospheric types; n represents the number of photovoltaic power plants affected by the weather type; i= … n; m is M i Representing the installed capacity of the ith photovoltaic power plant; e (E) i Representing the surface solar radiation value of the ith photovoltaic power plant.
It will be appreciated by those skilled in the art that embodiments of the present patent application may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present patent application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, magnetic disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
The present patent application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present application and not for limiting the scope of protection thereof, and although the present application is described in detail with reference to the above embodiments, it should be understood by those skilled in the art that: various changes, modifications, or equivalents may be made to the particular embodiments of the application by those skilled in the art after reading the present patent application, but such changes, modifications, or equivalents are within the scope of the claims appended hereto.
Claims (10)
1. A method for computing an optical resource of area light Fu Dengxiao affected by multiple weather types, comprising:
determining the weather type of each grid according to the total cloud cover of each grid in the area;
determining the weather type of each photovoltaic power station according to the weather type of each grid and the longitude and latitude information of each photovoltaic power station in the area;
and calculating equivalent light resources of the photovoltaic power stations affected by different weather types in the area by adopting a weighted average method based on the weather types of the photovoltaic power stations and the earth surface solar radiation values of the photovoltaic power stations.
2. The method of claim 1, wherein determining the weather type of each photovoltaic power station according to the weather type of each grid and the latitude and longitude information of each photovoltaic power station in the area comprises:
according to longitude and latitude information of each photovoltaic power station in the area, calculating the distance between each photovoltaic power station and each grid;
and according to the distance between each photovoltaic power station and each grid, selecting the weather type of the grid closest to each photovoltaic power station as the weather type of each photovoltaic power station.
3. The method of claim 1, wherein determining the weather type for each grid based on the total cloud cover for each grid in the area comprises:
when the proportion of the total cloud amount of grids in the area to the area of the corresponding grid is in a first range, the weather type of the grid is sunny days;
when the proportion of the total cloud amount of grids in the area to the area of the corresponding grid is in a second range, the weather type of the grid is less cloud days;
when the proportion of the total cloud amount of grids in the area to the area of the corresponding grid is in a third range, the weather type of the grid is cloudy days;
when the proportion of the total cloud amount of grids in the area to the area of the corresponding grid is in a fourth range, the weather type of the grid is overcast days;
wherein any value in the first range is less than any value in the second range, and any value in the second range is less than any value in the third range, and any value in the third range is less than any value in the fourth range.
4. The method of claim 1, wherein the surface solar radiation values of each photovoltaic power plant comprise the following acquisition process:
according to the earth surface solar radiation value of each grid in the area and the longitude and latitude information of each photovoltaic power station, the longitude and latitude information of each photovoltaic power station is used as an interpolation point, and the earth surface solar radiation value of the grid corresponding to each photovoltaic power station is interpolated into the corresponding photovoltaic power station to obtain the earth surface solar radiation value of each photovoltaic power station.
5. The method according to claim 1, wherein calculating the equivalent light resources of the photovoltaic power stations affected by different weather types in the area by using a weighted average method based on the weather type of each photovoltaic power station and the surface solar radiation value of each photovoltaic power station comprises:
obtaining the number of photovoltaic power stations affected by each weather type in the area based on the weather type of each photovoltaic power station;
and calculating the equivalent light resource value of the photovoltaic power stations affected by each weather type in the area by adopting a weighted average method according to the quantity of the photovoltaic power stations affected by each weather type in the area, the installed capacity of the photovoltaic power stations and the surface solar radiation value of the photovoltaic power stations.
6. The method of claim 5, wherein the equivalent optical resource value of the photovoltaic power plant affected by any type of atmospheric air in the region corresponds to the following formula:
wherein E is equ Representing an equivalent optical resource value of the photovoltaic power plant affected by any one of the atmospheric types; n represents the number of photovoltaic power plants affected by the weather type; i= … n; m is M i Representing the installed capacity of the ith photovoltaic power plant; e (E) i Representing the surface solar radiation value of the ith photovoltaic power plant.
7. A multi-weather type affected area light Fu Dengxiao light resource computing system, comprising:
grid weather determination module: the weather type of each grid is determined according to the total cloud cover of each grid in the area;
the power station weather determining module: the method comprises the steps of determining the weather type of each photovoltaic power station according to the weather type of each grid and the longitude and latitude information of each photovoltaic power station in the area;
equivalent optical resource calculation module: and the method is used for calculating the equivalent light resources of the photovoltaic power stations affected by different weather types in the area by adopting a weighted average method based on the weather types of the photovoltaic power stations and the earth surface solar radiation values of the photovoltaic power stations.
8. The system of claim 7, wherein the plant weather determination module is specifically configured to:
according to longitude and latitude information of each photovoltaic power station in the area, calculating the distance between each photovoltaic power station and each grid;
and according to the distance between each photovoltaic power station and each grid, selecting the weather type of the grid closest to each photovoltaic power station as the weather type of each photovoltaic power station.
9. The system of claim 7, wherein the grid weather determination module is specifically configured to:
when the proportion of the total cloud amount of grids in the area to the area of the corresponding grid is in a first range, the weather type of the grid is sunny days;
when the proportion of the total cloud amount of grids in the area to the area of the corresponding grid is in a second range, the weather type of the grid is less cloud days;
when the proportion of the total cloud amount of grids in the area to the area of the corresponding grid is in a third range, the weather type of the grid is cloudy days;
when the proportion of the total cloud amount of grids in the area to the area of the corresponding grid is in a fourth range, the weather type of the grid is overcast days;
wherein any value in the first range is less than any value in the second range, and any value in the second range is less than any value in the third range, and any value in the third range is less than any value in the fourth range.
10. The system of claim 7, wherein the equivalent optical resource calculation module is specifically configured to:
obtaining the number of photovoltaic power stations affected by each weather type in the area based on the weather type of each photovoltaic power station;
and calculating the equivalent light resource value of the photovoltaic power stations affected by each weather type in the area by adopting a weighted average method according to the quantity of the photovoltaic power stations affected by each weather type in the area, the installed capacity of the photovoltaic power stations and the surface solar radiation value of the photovoltaic power stations.
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| CN117613909B (en) * | 2024-01-24 | 2024-04-12 | 国能日新科技股份有限公司 | Distributed photovoltaic regional weather modeling method and device |
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