Photovoltaic power production and operation integrated management platform based on power spot market

Abstract

The invention discloses a photovoltaic power production and operation integrated management platform based on a power spot market, and relates to the technical field of photovoltaic power. Comprising a power supply data acquisition end, a power supply area acquisition end, a power supply area interval acquisition end, a boundary dispersion coefficient acquisition end, a boundary dispersion interval acquisition end, a deviation index acquisition end and an area deviation identifier generation end. The real-time power supply area and the real-time boundary dispersion coefficient of the photovoltaic power station are obtained in real time and are compared with the power supply area interval and the boundary dispersion interval which are generated previously, a deviation index is obtained through judgment, and real-time monitoring of the power supply area and the area boundary change of the photovoltaic power station is achieved. Therefore, the real-time power supply area of the photovoltaic power station and the change corresponding to the boundary of the power supply area are evaluated, the problem that abnormity and deviation of the power supply area of the photovoltaic power station cannot be found in time is solved, and the operation management efficiency of the photovoltaic power station and the stability of the power market are improved.

Description

Technical Field

[0001] The present invention relates to the field of photovoltaic power technology, and in particular to an integrated management platform for photovoltaic power production and operation based on the power spot market. Background Art

[0002] With the transformation of the global energy structure and the rapid development of the electricity market, photovoltaics, as an important part of clean energy, is also deepening its participation in the electricity market, aiming to optimize the production, operation and management of photovoltaic power to adapt to the complexity and dynamism of the electricity spot market.

[0003] The integrated management platform for photovoltaic power production and operation based on the electricity spot market is guided by resource integration and integrates advanced technologies such as big data, cloud computing, and the Internet of Things to achieve comprehensive monitoring, intelligent scheduling, and refined management of photovoltaic power stations. It not only focuses on the production efficiency of photovoltaic power, but also deeply participates in the trading strategies of the electricity spot market to ensure that photovoltaic power can obtain the best price and profit in the market, so as to maximize its benefits in the electricity market.

[0004] However, when managing the production and operation of photovoltaic power, photovoltaic power stations are greatly affected by environmental factors, changes in the power supply area are not easy to detect intuitively, and there is a lack of effective quantitative monitoring methods, which leads to the failure to timely discover anomalies and deviations in the power supply area of ​​photovoltaic power stations. Based on this, an integrated management platform for photovoltaic power production and operation based on the electricity spot market is proposed. Summary of the invention

[0005] The purpose of the present invention is to provide an integrated management platform for photovoltaic power production and operation based on the electricity spot market, which solves the technical problem that photovoltaic power stations are greatly affected by environmental factors and changes in power supply areas are not easy to intuitively detect.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] An integrated management platform for photovoltaic power production and operation based on the power spot market, including:

[0008] The power supply data acquisition terminal is used to acquire the power supply points corresponding to the photovoltaic power station;

[0009] The power supply area acquisition terminal obtains the power supply area of ​​the photovoltaic power station every day;

[0010] The power supply area interval acquisition terminal obtains the power supply area interval corresponding to the photovoltaic power station;

[0011] The boundary dispersion coefficient acquisition terminal obtains the boundary dispersion coefficient of the photovoltaic power station every day;

[0012] A boundary dispersion interval acquisition terminal obtains the boundary dispersion interval corresponding to the photovoltaic power station;

[0013] The deviation index acquisition end analyzes the power supply point corresponding to the photovoltaic power station in real time to obtain the deviation index value of the photovoltaic power station;

[0014] The area deviation mark generation end determines the generation of the area deviation mark according to the deviation index value.

[0015] As a further solution of the present invention: the specific method of obtaining the power supply area of ​​the photovoltaic power station every day is:

[0016] S1: any day is selected from the preset number of days t as the analysis day, and the power supply point corresponding to the photovoltaic power station at any time is obtained on the analysis day, and the photovoltaic power station and each power supply point are placed in the two-dimensional map at the same time to obtain the power supply mark map corresponding to the analysis day, and a straight line initial edge line is set in the power supply mark map, and the initial edge line is rotated according to the preset rotation angle R, and then the power supply mark map is divided into multiple area ranges, wherein the specific value of the preset rotation angle R is 20°; here t is a positive integer, 80≥t≥1;

[0017] S2: Select one of the multiple regional boundaries as the target boundary, obtain the position coordinates of each power supply point located in the target boundary in the power supply mark diagram of the analysis day, and the position coordinates of the photovoltaic power station, calculate the distance Le between each power supply point and the photovoltaic power station through the distance calculation formula, obtain the power supply point corresponding to the maximum value of the distance Le, and use it as the corresponding calibration boundary point of the target boundary, and at the same time use the position coordinates of the corresponding power supply point as the coordinates of the calibration boundary point B1;

[0018] S3: Repeat the above step S2 to obtain the calibrated boundary points Bn corresponding to each area range in the power supply marking diagram of the analysis day, and the coordinates Bn (Bxn, Bny) corresponding to each calibrated boundary point Bn, connect each calibrated boundary point Bn in sequence, and then obtain the corresponding power supply area surface in the power supply marking diagram of the analysis day, and calculate the power supply area corresponding to the power supply area surface in the power supply marking diagram of the analysis day according to the coordinates corresponding to each calibrated boundary point Bn, where n is a positive integer, n=1, 2, ..., b, b=360° / R;

[0019] S4: Repeat the above steps S1-S3 to obtain the power supply area Mt corresponding to each day of the photovoltaic power station within the preset number of days t.

[0020] As a further solution of the present invention: the specific method of dividing the power supply mark map into multiple area ranges is:

[0021] In the power supply marking diagram of the analysis day, a straight line initial edge line is drawn with the photovoltaic power station as the endpoint, so that the initial edge line uses the endpoint corresponding to the photovoltaic power station as the rotation endpoint, so that every time the initial edge line rotates by a preset angle R in the clockwise direction, a regional boundary line is drawn, until the initial edge line rotates one circle and returns to the original position, then the rotation stops. Multiple regional boundary ranges are formed by the initial edge line and multiple regional boundary lines, and the power supply marking diagram is divided into multiple regional ranges.

[0022] As a further solution of the present invention: the specific method of obtaining the power supply area corresponding to the power supply area surface in the power supply mark diagram of the analysis day is:

[0023] According to the coordinates Bn(Bnx, Bny) corresponding to each calibrated boundary point Bn, the power supply area M1 corresponding to the power supply area surface in the power supply marking diagram of the analysis day is calculated through the shoelace calculation formula: where b≥j≥1.

[0024] As a further solution of the present invention: the specific method of obtaining the power supply area interval corresponding to the photovoltaic power station is:

[0025] Get the maximum value M in the power supply area Mt max and the minimum value M min , the maximum value M max As the upper limit of the power supply area interval, the minimum value M min As the lower limit of the power supply area interval, the power supply area interval corresponding to the photovoltaic power station is generated. min , M max ].

[0026] As a further solution of the present invention, a specific method for obtaining the boundary dispersion coefficients corresponding to the power supply area surfaces of each day is as follows:

[0027] S01: Obtain the coordinates of the calibrated boundary points Bn (Bnx, Bny) corresponding to each area range in the power supply mark map of the analysis day from step S3, and calculate the distance Hn between each calibrated boundary point coordinate and the position coordinate of the photovoltaic power station through the distance calculation formula, and then calculate the boundary dispersion coefficient F1 corresponding to the power area surface of the analysis day through the standard deviation calculation formula;

[0028] S02: Repeat the above step S01 to obtain the boundary dispersion coefficient Ft corresponding to the power supply area surface of the photovoltaic power station every day within the preset number of days t.

[0029] As a further solution of the present invention: the specific method of obtaining the boundary dispersion interval corresponding to the photovoltaic power station is:

[0030] Get the maximum value F among the boundary scatter coefficients Ft max and the minimum value F min, taking the maximum value as the upper limit of the boundary dispersion interval and the minimum value as the lower limit of the boundary dispersion interval, and then generating the boundary dispersion interval corresponding to the photovoltaic power station [F min , F max ].

[0031] As a further solution of the present invention: the specific method of obtaining the numerical value corresponding to the deviation index of the photovoltaic power station is:

[0032] The power supply data of the photovoltaic power station is obtained in real time and input into the power supply area acquisition terminal for calculation and analysis, thereby obtaining the coordinates of the real-time calibrated boundary points corresponding to each area range in the real-time power supply marking diagram of the photovoltaic power station and the real-time power supply area K of the photovoltaic power station, and the coordinates of each real-time calibrated boundary point are substituted into the boundary dispersion coefficient acquisition terminal for analysis to obtain the real-time boundary dispersion coefficient U of the photovoltaic power station;

[0033] When K∈[M min , M max ] and U∈[F min , F max ], the value of the deviation index P of the photovoltaic power station is marked as 2; when and When K∈[M min , M max ]and or and When , the value of the deviation index P of the photovoltaic power station is marked as 1.

[0034] As a further solution of the present invention: determining and generating an area deviation mark, the specific method is as follows:

[0035] When the value of the deviation index P is 0, no processing is performed. When the value of the deviation index P is 1, a warning mark is generated. When the value of the deviation index P is 2, an area deviation mark is generated.

[0036] Beneficial effects of the present invention:

[0037] The present invention, through detailed analysis of historical power supply data of photovoltaic power stations, obtains power supply areas at different times, generates corresponding power supply area intervals, calculates boundary dispersion coefficients of power supply area surfaces every day, generates corresponding boundary dispersion intervals, obtains the real-time power supply area and real-time boundary dispersion coefficient of the photovoltaic power station in real time, compares them with the power supply area intervals and boundary dispersion intervals generated previously, determines and obtains deviation indicators, and realizes real-time monitoring of changes in the power supply area and area boundary of the photovoltaic power station, thereby evaluating the real-time power supply area of ​​the photovoltaic power station and the corresponding changes in the power supply area boundary, solving the problem of failure to timely discover anomalies and deviations in the power supply area of ​​the photovoltaic power station, and helping to improve the operation and management efficiency of the photovoltaic power station and the stability of the power market. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The present invention will be further described below in conjunction with the accompanying drawings.

[0039] Figure 1 It is a schematic diagram of the system framework structure of the present invention;

[0040] Figure 2 It is a schematic diagram of the framework structure of the method of the present invention;

[0041] Figure 3 It is a structural schematic diagram of the power supply marking diagram of the present invention. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0043] See also Figure 1-Figure 3 As shown, the present invention is an integrated management platform for photovoltaic power production and operation based on the power spot market, including:

[0044] The power supply data acquisition terminal is used to acquire the historical power supply data of the photovoltaic power station, and the historical power supply data includes each power supply point corresponding to the photovoltaic power station;

[0045] The power supply area acquisition terminal acquires the historical power supply data of the photovoltaic power station within a preset number of days t, obtains the power supply points corresponding to the photovoltaic power station at any time every day from the historical power supply data of the preset number of days t, places the photovoltaic power station and each power supply point in the two-dimensional map at the same time, obtains the power supply mark map corresponding to each day of the preset number of days t for the photovoltaic power station, analyzes the coordinates of the photovoltaic power station and each corresponding power supply point in the power supply mark map every day, and obtains the power supply area corresponding to each day of the preset number of days t according to the analysis results, where t is a positive integer, 80≥t≥1, and the specific method is:

[0046] S1: Select any day from the preset number of days t as the analysis day;

[0047] The power supply point corresponding to the photovoltaic power station at any time during the analysis day is obtained, and the photovoltaic power station and each power supply point are placed in a two-dimensional map at the same time, so as to obtain the power supply mark map corresponding to the analysis day. In the power supply mark map of the analysis day, a straight line initial edge line is made with the photovoltaic power station as the endpoint, so that the initial edge line uses the endpoint corresponding to the photovoltaic power station as the rotation endpoint, so that the initial edge line rotates clockwise by a preset angle R every time, and then a regional boundary line is made, until the initial edge line rotates a circle and returns to the original position, then the rotation stops, and multiple regional boundary ranges are formed by the initial edge line and multiple regional boundary lines, and then the power supply mark map is divided into multiple regional ranges, and the specific value of the preset rotation angle R here is 20°;

[0048] S2: Select one of the multiple area boundaries as the target boundary;

[0049] Obtain the position coordinates of each power supply point located within the target boundary in the power supply marking diagram of the analysis day, and mark them as De (Dex, Dey), where e refers to different power supply points within the target boundary, e is a positive integer, e ≥ 1;

[0050] In the power supply mark map, according to the coordinate system of the two-dimensional map, the position coordinates G (Gx, Gy) corresponding to the photovoltaic power station in the power supply mark map of the analysis day, and the position coordinates De (Dex, Dey) corresponding to each power supply point located within the target boundary in the power supply mark map of the analysis day are obtained, where e refers to different power supply points within the target boundary, e is a positive integer, and e ≥ 1; according to the position coordinates G (Gx, Gy) of the photovoltaic power station and the position coordinates De (Dex, Dey) of each power supply point within the target boundary, the distance calculation formula is used: Calculate the distance Le between each power supply point and the photovoltaic power station within the target boundary, obtain the power supply point corresponding to the maximum value of the distance Le, and use it as the corresponding calibration boundary point B1 of the target boundary, and use the position coordinates of the corresponding power supply point as the coordinates of the calibration boundary point B1, marked as B1 (B1 x, B1 y);

[0051] S3: Repeat the above step S2 to obtain the calibration boundary points Bn corresponding to each area range in the power supply marking diagram of the analysis day, and the coordinates Bn (Bxn, Bny) corresponding to each calibration boundary point Bn, and connect each calibration boundary point Bn in sequence to obtain the corresponding power supply area surface in the power supply marking diagram of the analysis day, where n refers to different area ranges in the power supply marking diagram of the analysis day, n is a positive integer, n = 1, 2, ..., b, and the specific number of area ranges in the power supply marking diagram is b = 360° / R;

[0052] According to the coordinates Bn (Bnx, Bny) corresponding to each calibration boundary point Bn, the shoelace calculation formula is: Calculate and obtain the power supply area M1 corresponding to the power supply area surface in the power supply marking diagram of the analysis day, where b≥j≥1;

[0053] S4: Repeat the above steps S1-S3 to obtain the power supply area Mt corresponding to each day of the photovoltaic power station within the preset number of days t;

[0054] The power supply area interval acquisition terminal obtains the power supply area interval corresponding to the photovoltaic power station according to the maximum and minimum values ​​of the power supply area Mt corresponding to each day of the preset number of days t. The specific method is as follows:

[0055] Get the maximum value M in the power supply area Mt max and the minimum value M min , the maximum value M max As the upper limit of the power supply area interval, the minimum value M min As the lower limit of the power supply area interval, the power supply area interval corresponding to the photovoltaic power station is generated. min , M max ];

[0056] The boundary dispersion coefficient acquisition end obtains the boundary dispersion coefficients corresponding to the power supply area surface of each day according to the coordinates corresponding to each calibrated boundary point on the power supply area surface of each day of the photovoltaic power station within the preset number of days t. The specific method is:

[0057] S01: Obtain the coordinates of the calibrated boundary points Bn (Bnx, Bny) corresponding to each area range in the power supply mark diagram of the analysis day from step S3;

[0058] The distance calculation formula is: Calculate the distance Hn between the coordinates of each calibrated boundary point Bn (Bnx, Bny) and the location coordinates of the photovoltaic power station G (Gx, Gy);

[0059] The boundary dispersion coefficient F1 corresponding to the electrical area surface on the analysis day is calculated by the standard deviation calculation formula;

[0060] The specific standard deviation calculation formula is: Where Hp is the mean value of Hn, b≥f≥1;

[0061] S02: Repeat the above step S01 to obtain the boundary dispersion coefficient Ft corresponding to the power supply area surface of the photovoltaic power station every day within the preset number of days t;

[0062] At the boundary dispersion interval acquisition end, the maximum and minimum values ​​of the boundary dispersion coefficient Ft corresponding to the power supply area of ​​each day of the photovoltaic power station within the preset number of days t are respectively obtained, and the boundary dispersion interval corresponding to the photovoltaic power station is obtained. The specific method is:

[0063] Get the maximum value F among the boundary scatter coefficients Ft max and the minimum value F min , the maximum value F max As the upper limit of the boundary dispersion interval, the minimum value F min As the lower limit of the boundary dispersion interval, the boundary dispersion interval corresponding to the photovoltaic power station is generated [F min , F max ];

[0064] The deviation index acquisition end acquires the power supply data of the photovoltaic power station in real time for analysis, obtains the real-time power supply area and real-time boundary dispersion coefficient corresponding to the photovoltaic power station, compares and analyzes the real-time power supply area and real-time boundary dispersion coefficient with the power supply area interval and boundary dispersion interval, and obtains the value corresponding to the deviation index of the photovoltaic power station. The specific method is as follows:

[0065] The power supply data of the photovoltaic power station is obtained in real time and input into the power supply area acquisition terminal for calculation and analysis, thereby obtaining the coordinates of the real-time calibrated boundary points corresponding to each area range in the real-time power supply marking diagram of the photovoltaic power station and the real-time power supply area K of the photovoltaic power station, and the coordinates of each real-time calibrated boundary point are substituted into the boundary dispersion coefficient acquisition terminal for analysis to obtain the real-time boundary dispersion coefficient U of the photovoltaic power station;

[0066] When K∈[M min , M max ] and U∈[F min , F max ], the value of the deviation index P of the photovoltaic power station is marked as 2; when and When K∈[M min , M max ]and or and When , the value of the deviation index P of the photovoltaic power station is marked as 1;

[0067] The area deviation mark generating end determines and generates the area deviation mark according to the value corresponding to the deviation index of the photovoltaic power station. The specific method is as follows:

[0068] When the value of the deviation index P is 0, no processing is performed. When the value of the deviation index P is 1, a warning mark is generated. When the value of the deviation index P is 2, an area deviation mark is generated.

[0069] The warning sign only serves as a warning, reminding relevant personnel to inspect the power supply area. The area deviation sign indicates that the power supply area corresponding to the photovoltaic power station has changed. Relevant personnel need to conduct inspections in a timely manner to promptly discover abnormalities and deviations in the power supply area. When there is a large fluctuation in the power supply area of ​​the photovoltaic power station, an early warning can be issued in time to remind relevant personnel to take measures to avoid possible losses.

[0070] Through detailed analysis of the historical power supply data of the photovoltaic power station, the power supply area at different times is obtained, the corresponding power supply area interval is generated, the boundary dispersion coefficient of the power supply area surface of each day is calculated, the corresponding boundary dispersion interval is generated, and the real-time power supply area and real-time boundary dispersion coefficient of the photovoltaic power station are obtained in real time. They are compared with the power supply area interval and boundary dispersion interval generated previously, and the deviation index is determined to achieve real-time monitoring of the changes in the power supply area and area boundary of the photovoltaic power station, thereby evaluating the real-time power supply area of ​​the photovoltaic power station and the corresponding changes in the power supply area boundary, solving the problem of not being able to timely discover the anomalies and deviations in the power supply area of ​​the photovoltaic power station, and helping to improve the operation and management efficiency of the photovoltaic power station and the stability of the power market.

[0071] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters and thresholds in the formula are set by technicians in this field according to actual conditions.

[0072] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. An integrated management platform for photovoltaic power production and operation based on the power spot market, characterized by: include: The power supply data acquisition terminal is used to acquire the power supply points corresponding to the photovoltaic power station; The power supply area acquisition terminal obtains the power supply area of ​​the photovoltaic power station every day; The power supply area interval acquisition terminal obtains the power supply area interval corresponding to the photovoltaic power station; The boundary dispersion coefficient acquisition terminal obtains the boundary dispersion coefficient of the photovoltaic power station every day; A boundary dispersion interval acquisition terminal obtains the boundary dispersion interval corresponding to the photovoltaic power station; The deviation index acquisition end analyzes the power supply point corresponding to the photovoltaic power station in real time to obtain the deviation index value of the photovoltaic power station; The area deviation mark generation end determines the generation of the area deviation mark according to the deviation index value.

2. The photovoltaic power production and operation integrated management platform based on the power spot market according to claim 1 is characterized in that: The specific method for obtaining the power supply area of ​​a photovoltaic power station every day is: S1: any day is selected from the preset number of days t as the analysis day, and the power supply point corresponding to the photovoltaic power station at any time is obtained on the analysis day, and the photovoltaic power station and each power supply point are placed in the two-dimensional map at the same time to obtain the power supply mark map corresponding to the analysis day, and a straight line initial edge line is set in the power supply mark map, and the initial edge line is rotated according to the preset rotation angle R, and then the power supply mark map is divided into multiple area ranges, wherein the specific value of the preset rotation angle R is 20°; here t is a positive integer, 80≥t≥1; S2: Select one of the multiple regional boundaries as the target boundary, obtain the position coordinates of each power supply point located in the target boundary in the power supply mark diagram of the analysis day, and the position coordinates of the photovoltaic power station, calculate the distance Le between each power supply point and the photovoltaic power station through the distance calculation formula, obtain the power supply point corresponding to the maximum value of the distance Le, and use it as the corresponding calibration boundary point of the target boundary, and at the same time use the position coordinates of the corresponding power supply point as the coordinates of the calibration boundary point B1; S3: Repeat the above step S2 to obtain the calibrated boundary points Bn corresponding to each area range in the power supply marking diagram of the analysis day, and the coordinates Bn (Bxn, Bny) corresponding to each calibrated boundary point Bn, connect each calibrated boundary point Bn in sequence, and then obtain the corresponding power supply area surface in the power supply marking diagram of the analysis day, and calculate the power supply area corresponding to the power supply area surface in the power supply marking diagram of the analysis day according to the coordinates corresponding to each calibrated boundary point Bn, where n is a positive integer, n=1, 2, ..., b, b=360° / R; S4: Repeat the above steps S1-S3 to obtain the power supply area Mt corresponding to each day of the photovoltaic power station within the preset number of days t.

3. The photovoltaic power production and operation integrated management platform based on the power spot market according to claim 2 is characterized in that: The specific method of dividing the power supply mark map into multiple area ranges is as follows: In the power supply marking diagram of the analysis day, a straight line initial edge line is drawn with the photovoltaic power station as the endpoint, so that the initial edge line uses the endpoint corresponding to the photovoltaic power station as the rotation endpoint, so that every time the initial edge line rotates by a preset angle R in the clockwise direction, a regional boundary line is drawn, until the initial edge line rotates one circle and returns to the original position, then the rotation stops. Multiple regional boundary ranges are formed by the initial edge line and multiple regional boundary lines, and the power supply marking diagram is divided into multiple regional ranges.

4. The photovoltaic power production and operation integrated management platform based on the power spot market according to claim 2 is characterized in that: The specific method of obtaining the power supply area corresponding to the power supply area surface in the power supply marking diagram of the analysis day is: According to the coordinates Bn (Bnx, Bny) corresponding to each calibration boundary point Bn, the shoelace calculation formula is: The power supply area M1 corresponding to the power supply area surface in the power supply marking diagram of the analysis day is calculated, where b≥j≥1.

5. The photovoltaic power production and operation integrated management platform based on the power spot market according to claim 4 is characterized in that: The specific method for obtaining the power supply area range corresponding to the photovoltaic power station is: Get the maximum value M in the power supply area Mt max and the minimum value M min , the maximum value M max As the upper limit of the power supply area interval, the minimum value M min As the lower limit of the power supply area interval, the power supply area interval corresponding to the photovoltaic power station is generated. min , M max ].

6. The photovoltaic power production and operation integrated management platform based on the power spot market according to claim 5 is characterized in that: The specific method of obtaining the boundary dispersion coefficient corresponding to the power supply area surface of each day is: S01: Obtain the coordinates of the calibrated boundary points Bn (Bnx, Bny) corresponding to each area range in the power supply mark map of the analysis day from step S3, and calculate the distance Hn between each calibrated boundary point coordinate and the position coordinate of the photovoltaic power station through the distance calculation formula, and then calculate the boundary dispersion coefficient F1 corresponding to the power area surface of the analysis day through the standard deviation calculation formula; S02: Repeat the above step S01 to obtain the boundary dispersion coefficient Ft corresponding to the power supply area surface of the photovoltaic power station every day within the preset number of days t.

7. The photovoltaic power production and operation integrated management platform based on the power spot market according to claim 6 is characterized in that: The specific method of obtaining the boundary dispersion interval corresponding to the photovoltaic power station is: Get the maximum value F among the boundary scatter coefficients Ft max and the minimum value F min , taking the maximum value as the upper limit of the boundary dispersion interval and the minimum value as the lower limit of the boundary dispersion interval, and then generating the boundary dispersion interval corresponding to the photovoltaic power station [F min , F max ].

8. The photovoltaic power production and operation integrated management platform based on the power spot market according to claim 7 is characterized in that: The specific method for obtaining the value corresponding to the deviation index of the photovoltaic power station is: The power supply data of the photovoltaic power station is obtained in real time and input into the power supply area acquisition terminal for calculation and analysis, thereby obtaining the coordinates of the real-time calibrated boundary points corresponding to each area range in the real-time power supply marking diagram of the photovoltaic power station and the real-time power supply area K of the photovoltaic power station, and the coordinates of each real-time calibrated boundary point are substituted into the boundary dispersion coefficient acquisition terminal for analysis to obtain the real-time boundary dispersion coefficient U of the photovoltaic power station; When K∈[M min , M max ] and U∈[F min , F max ], the value of the deviation index P of the photovoltaic power station is marked as 2; when and When K∈[M min , M max ]and or and When , the value of the deviation index P of the photovoltaic power station is marked as 1.

9. The photovoltaic power production and operation integrated management platform based on the power spot market according to claim 8, characterized in that: Determine the generated area deviation mark, the specific method is as follows: When the value of the deviation index P is 0, no processing is performed. When the value of the deviation index P is 1, a warning mark is generated. When the value of the deviation index P is 2, an area deviation mark is generated.

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