Method and system for calculating grid-connected power generation quantity of photovoltaic system

Abstract

The invention relates to the technical field of photovoltaic power generation, and particularly discloses a grid-connected power generation amount calculation method and system for a photovoltaic system, and the method comprises the steps: obtaining the geographic position of each photovoltaic module in a photovoltaic power station, carrying out the clustering of each photovoltaic module according to the geographic position, and obtaining the clustering position of each photovoltaic module; determining a solar variation parameter of each clustering position according to the clustering position of each photovoltaic module, and determining an initial generating capacity calculation value of each clustering position according to the solar variation parameter of each clustering position; and determining a generating capacity fluctuation parameter according to the solar variation parameter of each clustering position, and correcting the initial generating capacity calculation value according to the generating capacity fluctuation parameter to obtain a final generating capacity calculation value. According to the invention, the influence of the environmental condition of the photovoltaic power station and the fluctuation of the photovoltaic output on the power generation amount calculation is reduced, and the accuracy of the grid-connected power generation amount calculation of the photovoltaic system is improved.

Description

Technical Field

[0001] The present application relates to the field of photovoltaic power generation technology, and more specifically, to a method and system for calculating the grid-connected power generation of a photovoltaic system. Background Art

[0002] Photovoltaic power generation systems are generally divided into off-grid photovoltaic power generation systems and grid-connected photovoltaic power generation systems. Among them, the investment in grid-connected photovoltaic power generation systems is about 30% less than that of off-grid photovoltaic power generation systems. Connecting photovoltaic power generation systems to the large power grid in the form of microgrids and supporting each other with the large power grid is an important technical solution to increase the scale of photovoltaic power generation. The grid-connected operation of photovoltaic power generation systems is also the main direction of future technological development. Grid connection can expand the scope and flexibility of solar energy use.

[0003] The calculation of the grid-connected power generation of photovoltaic systems in the prior art cannot take into account the environmental conditions of the photovoltaic power station and the volatility of photovoltaic output, and cannot obtain accurate power generation calculation results, which affects the use of the grid-connected photovoltaic system. Summary of the invention

[0004] The present invention provides a method and system for calculating the grid-connected power generation of a photovoltaic system, which is used to solve the problem that the calculation of the grid-connected power generation of a photovoltaic system in the prior art is not accurate enough. The method comprises:

[0005] Obtaining the geographical location of each photovoltaic module in the photovoltaic power station, clustering each photovoltaic module according to the geographical location, and obtaining the clustering location of each photovoltaic module;

[0006] Determine the solar variation parameters of each clustering position according to the clustering positions of each photovoltaic module, and determine the initial power generation calculation value of each clustering position according to the solar variation parameters of each clustering position;

[0007] The power generation fluctuation parameter is determined according to the solar variation parameter of each cluster position, and the initial power generation calculation value is corrected according to the power generation fluctuation parameter to obtain the final power generation calculation value.

[0008] Furthermore, clustering the photovoltaic modules according to their geographical locations to obtain clustered locations of the photovoltaic modules includes:

[0009] Determine the historical light intensity and historical ambient temperature of the corresponding geographical location according to the geographical location of each photovoltaic module in the photovoltaic power station, and determine the historical environmental condition parameters according to the historical light intensity and historical ambient temperature;

[0010] Calculate the correlation coefficient between the historical environmental condition parameters and the power generation of the photovoltaic power station to obtain the power generation performance parameters of the corresponding positions of the photovoltaic modules;

[0011] The photovoltaic components are clustered according to the power generation performance parameters at the corresponding positions of the photovoltaic components to obtain the clustering positions of each photovoltaic component.

[0012] Furthermore, clustering the photovoltaic components according to the power generation performance parameters at corresponding positions of the photovoltaic components includes:

[0013] A power generation performance data set is established according to the power generation performance parameters, and k initial clustering centers of the power generation performance data set are randomly selected;

[0014] Calculate the Euclidean distance between the power generation performance parameters in the power generation performance data set and the initial cluster center, and divide each photovoltaic module into a corresponding cluster according to the Euclidean distance between the power generation performance parameters in the power generation performance data set and the initial cluster center;

[0015] Calculate the average value of the power generation performance parameters in each cluster, and re-determine the cluster center according to the average value of the power generation performance parameters in each cluster;

[0016] The above steps are iterated repeatedly until the cluster center no longer changes or the number of iterations reaches a preset iteration threshold, and the clustering results of the photovoltaic components are obtained.

[0017] Further, determining the solar variation parameter of each cluster position according to the cluster position of each photovoltaic module includes:

[0018] Determine the geographical location of the corresponding cluster center according to the cluster positions of the photovoltaic components, and obtain the change of the light angle of the geographical location of the cluster center within a first preset period;

[0019] An illumination variation curve diagram is drawn according to the illumination angle variation in the first preset period, and the solar variation parameter is determined according to the illumination variation curve diagram.

[0020] Further, determining the solar variation parameter according to the illumination variation curve diagram includes:

[0021] Obtaining a preset optimal angle range, screening out a duration of the illumination angle in the illumination change curve diagram being within the preset optimal angle range, and determining a first angle parameter according to the duration of the illumination angle in the preset optimal angle range;

[0022] Obtaining the duration of the illumination angle in the non-preset optimal angle range and the number of intervals in the non-preset optimal angle range, normalizing the number of intervals in the non-preset optimal angle range, and multiplying the duration of the illumination angle in the non-preset optimal angle range and the number of intervals in the non-preset optimal angle range after normalization to obtain a second angle parameter;

[0023] The ratio of the first angle parameter to the second angle parameter is calculated to obtain the solar variation parameter.

[0024] Further, the determining of the initial power generation calculation value of each cluster position according to the solar variation parameter of each cluster position includes:

[0025] Obtain historical solar variation parameters and corresponding cluster position power generation, and establish a training sample set based on the historical solar variation parameters and corresponding cluster position power generation;

[0026] An initial power generation calculation model is established according to the training sample set, and the initial power generation calculation model is trained to obtain a trained power generation calculation model;

[0027] The solar variation parameters of each cluster position in the current photovoltaic power station are input into the trained power generation calculation model to obtain the initial power generation calculation value.

[0028] Further, determining the power generation fluctuation parameter according to the solar variation parameter at each cluster position includes:

[0029] Obtaining solar variation parameters of each cluster position within a second preset period, performing curve fitting on the solar variation parameters of each cluster position within the second preset period, and obtaining a solar variation parameter fitting curve;

[0030] Obtain a preset sliding time window, and divide the solar variation parameter fitting curve according to the preset sliding time window to obtain a plurality of sub-solar variation parameter fitting curves;

[0031] Calculate the average value of the fitting curve of each sub-sun variation parameter, and draw the average value variation curve according to the average value of the fitting curve of each sub-sun variation parameter;

[0032] The absolute values ​​of the slopes of adjacent average values ​​in the average value change curve are counted, and the average value of the absolute values ​​of the slopes in the average value change curve is calculated to obtain the power generation fluctuation parameter.

[0033] Furthermore, the correction of the initial power generation calculation value according to the power generation fluctuation parameter includes:

[0034] Obtaining a preset allowable fluctuation parameter, and calculating a difference between the power generation fluctuation parameter and the preset allowable fluctuation parameter;

[0035] The initial power generation calculation value is corrected according to the difference between the power generation fluctuation parameter and the preset allowable fluctuation parameter to obtain the final power generation calculation value.

[0036] Furthermore, the correction of the initial power generation calculation value according to the difference between the power generation fluctuation parameter and the preset allowable fluctuation parameter includes:

[0037] The initial power generation calculation value is corrected according to the power generation correction formula, and the power generation correction formula is specifically:

[0038]

[0039] Among them, P α is the final power generation calculation value after correction, P0 is the initial power generation calculation value, F0 is the power generation fluctuation parameter, F α is the preset allowable fluctuation parameter, R is the preset range coefficient, and exp is the natural exponential function.

[0040] In order to achieve the above object, the present invention also provides a photovoltaic system grid-connected power generation calculation system, comprising:

[0041] A clustering module is used to obtain the geographical location of each photovoltaic module in the photovoltaic power station, cluster each photovoltaic module according to the geographical location, and obtain the clustering position of each photovoltaic module;

[0042] An initial calculation module, used to determine the solar variation parameters of each clustering position according to the clustering position of each photovoltaic module, and determine the initial power generation calculation value of each clustering position according to the solar variation parameters of each clustering position;

[0043] The correction calculation module is used to determine the power generation fluctuation parameter according to the solar variation parameter of each cluster position, and to correct the initial power generation calculation value according to the power generation fluctuation parameter to obtain the final power generation calculation value.

[0044] The beneficial effects of the present invention are:

[0045] By applying the above technical scheme, the present invention clusters the photovoltaic modules in the photovoltaic power station, calculates the initial power generation through the solar variation parameters at the clustering positions of the photovoltaic modules, and corrects the initial power generation according to the fluctuation of the solar variation parameters, thereby obtaining a more accurate grid-connected power generation of the photovoltaic system. At the same time, the influence of the environmental conditions of the photovoltaic power station and the volatility of the photovoltaic output on the power generation calculation is taken into account, thereby improving the accuracy of the calculation of the grid-connected power generation of the photovoltaic system. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0047] Figure 1 A schematic diagram of a flow chart of a method for calculating grid-connected power generation of a photovoltaic system proposed in an embodiment of the present invention is shown;

[0048] Figure 2 The overall structure diagram of a photovoltaic system grid-connected power generation calculation system proposed in an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0049] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0050] The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0051] The present application embodiment provides a method for calculating the grid-connected power generation of a photovoltaic system, such as Figure 1 As shown, including:

[0052] S101, obtaining the geographical location of each photovoltaic module in the photovoltaic power station, clustering the photovoltaic modules according to the geographical location, and obtaining the clustering location of each photovoltaic module;

[0053] In some embodiments of the present application, the clustering of each photovoltaic component according to the geographical location to obtain the clustered location of each photovoltaic component includes: determining the historical light intensity and historical ambient temperature of the corresponding geographical location according to the geographical location of each photovoltaic component in the photovoltaic power station, and determining the historical environmental condition parameters according to the historical light intensity and historical ambient temperature; calculating the correlation coefficient between the historical environmental condition parameters and the power generation of the photovoltaic power station to obtain the power generation performance parameters of the corresponding positions of the photovoltaic components; clustering the photovoltaic components according to the power generation performance parameters of the corresponding positions of the photovoltaic components to obtain the clustered locations of each photovoltaic component.

[0054] In this embodiment, the historical light intensity and historical ambient temperature of the geographical location of each photovoltaic module are determined by the historical weather data of the photovoltaic power station, and corresponding weight values ​​are assigned to the historical light intensity and the historical ambient temperature, and the historical light intensity and the historical ambient temperature are weighted and summed to obtain the historical environmental condition parameters corresponding to the photovoltaic module. The correlation coefficients of the historical environmental condition parameters of each photovoltaic module and the corresponding power generation are calculated to obtain the power generation performance parameters, so as to cluster each photovoltaic module, and divide each photovoltaic module into the corresponding cluster position according to the clustering results.

[0055] In some embodiments of the present application, the photovoltaic components are clustered according to the power generation performance parameters of the corresponding positions of the photovoltaic components, including: establishing a power generation performance data set according to the power generation performance parameters, and randomly selecting k initial clustering centers of the power generation performance data set; calculating the Euclidean distance from the power generation performance parameters in the power generation performance data set to the initial clustering center, and dividing each photovoltaic component into a corresponding cluster cluster according to the Euclidean distance from the power generation performance parameters in the power generation performance data set to the initial clustering center; calculating the average value of the power generation performance parameters in each clustering cluster, and re-determining the clustering center according to the average value of the power generation performance parameters in each clustering cluster; and repeatedly iterating the above steps until the clustering center no longer changes or the number of iterations reaches a preset iteration threshold, thereby obtaining a clustering result of the photovoltaic components.

[0056] In this embodiment, the photovoltaic modules are clustered according to the power generation performance parameters corresponding to the photovoltaic modules based on the k-means clustering algorithm, and the k value is selected according to the number of photovoltaic modules. The larger the number, the higher the selected k value.

[0057] S102, determining a solar variation parameter of each cluster position according to the cluster position of each photovoltaic module, and determining an initial power generation calculation value of each cluster position according to the solar variation parameter of each cluster position;

[0058] In some embodiments of the present application, determining the solar variation parameters of each clustering position according to the clustering positions of each photovoltaic component includes: determining the geographical location of the corresponding clustering center according to the clustering positions of the photovoltaic components, and obtaining the light angle change of the geographical location of the clustering center within a first preset period; drawing a light change curve graph according to the light angle change within the first preset period, and determining the solar variation parameters according to the light change curve graph.

[0059] In this embodiment, the first preset period is specifically 24 hours, and each photovoltaic component is divided into a cluster position where the cluster center is located according to the clustering result, and the solar change parameter is determined according to the change of the light angle at the cluster position within a day.

[0060] In some embodiments of the present application, determining the solar change parameter based on the illumination change curve graph includes: obtaining a preset optimal angle range, screening out the duration of the illumination angle in the preset optimal angle range in the illumination change curve graph, and determining a first angle parameter based on the duration of the illumination angle in the preset optimal angle range; obtaining the duration of the illumination angle in a non-preset optimal angle range and the number of intervals in the non-preset optimal angle range, normalizing the number of intervals in the non-preset optimal angle range, multiplying the duration of the illumination angle in the non-preset optimal angle range and the number of intervals in the non-preset optimal angle range after normalization to obtain a second angle parameter; calculating the ratio of the first angle parameter to the second angle parameter to obtain the solar change parameter.

[0061] In this embodiment, an optimal angle range is preset at each cluster position, and the first angle parameter is obtained by counting the duration of the sun's incident angle in the preset optimal angle range. The duration of the sun's incident angle in the non-preset optimal angle range is counted, and the number of intervals of the non-preset optimal angle range in the illumination change curve is normalized, and the second angle parameter is obtained by multiplying the duration of the illumination angle in the non-preset optimal angle range and the number of intervals of the non-preset optimal angle range after normalization, thereby obtaining the sun change parameter.

[0062] In some embodiments of the present application, the method of determining the initial power generation calculation value of each cluster position according to the solar variation parameters of each cluster position includes: obtaining historical solar variation parameters and the corresponding cluster position power generation, and establishing a training sample set according to the historical solar variation parameters and the corresponding cluster position power generation; establishing an initial power generation calculation model according to the training sample set and training the initial power generation calculation model to obtain a trained power generation calculation model; inputting the solar variation parameters of each cluster position in the current photovoltaic power station into the trained power generation calculation model to obtain an initial power generation calculation value.

[0063] In this embodiment, a power generation calculation model is established through the historical solar variation parameters of the clustering positions in the historical photovoltaic power station and the power generation of the photovoltaic components at the corresponding clustering positions, so that the corresponding initial power generation calculation value is obtained through the solar variation parameters of the current clustering position.

[0064] S103, determining a power generation fluctuation parameter according to the solar variation parameter of each cluster position, and correcting the initial power generation calculation value according to the power generation fluctuation parameter to obtain a final power generation calculation value.

[0065] In some embodiments of the present application, the method of determining the power generation fluctuation parameter based on the solar variation parameters of each cluster position includes: obtaining the solar variation parameters of each cluster position within a second preset period, performing curve fitting on the solar variation parameters of each cluster position within the second preset period, and obtaining a solar variation parameter fitting curve; obtaining a preset sliding time window, and dividing the solar variation parameter fitting curve according to the preset sliding time window to obtain a plurality of sub-solar variation parameter fitting curves; calculating the average value of each sub-solar variation parameter fitting curve, and drawing a mean value change curve according to the average value of each sub-solar variation parameter fitting curve; and statistically calculating the absolute values ​​of the slopes of adjacent mean values ​​in the mean value change curve, calculating the average value of the absolute values ​​of the slopes in the mean value change curve, and obtaining the power generation fluctuation parameter.

[0066] In this embodiment, by performing curve fitting on the solar variation parameters at the current cluster position, a solar variation parameter fitting curve is obtained, and the fitting curve is segmented by a preset sliding time window to obtain a mean value change curve of the solar variation parameters, thereby obtaining the power generation fluctuation parameter through the absolute value of the average slope of the mean value change curve.

[0067] In some embodiments of the present application, the correction of the initial power generation calculation value according to the power generation fluctuation parameter includes: obtaining a preset allowable fluctuation parameter, calculating the difference between the power generation fluctuation parameter and the preset allowable fluctuation parameter; correcting the initial power generation calculation value according to the difference between the power generation fluctuation parameter and the preset allowable fluctuation parameter to obtain a final power generation calculation value.

[0068] In some embodiments of the present application, the method of correcting the initial power generation calculation value according to the difference between the power generation fluctuation parameter and the preset allowable fluctuation parameter includes: correcting the initial power generation calculation value according to a power generation correction formula, wherein the power generation correction formula is specifically:

[0069]

[0070] Among them, P α is the final power generation calculation value after correction, P0 is the initial power generation calculation value, F0 is the power generation fluctuation parameter, F α is the preset allowable fluctuation parameter, R is the preset range coefficient, and exp is the natural exponential function.

[0071] In this embodiment, the initial power generation calculation value is corrected by the difference between the power generation fluctuation parameter and the preset allowable fluctuation parameter, so that the calculated value of the grid-connected power generation of the photovoltaic system is closer to the actual value, effectively improving the accuracy of the calculation of the grid-connected power generation of the photovoltaic system.

[0072] Based on the same technical concept, such as Figure 2 As shown, the present invention also provides a photovoltaic system grid-connected power generation calculation system, comprising:

[0073] The clustering module is used to obtain the geographical location of each photovoltaic module in the photovoltaic power station, cluster each photovoltaic module according to the geographical location, and obtain the clustering location of each photovoltaic module; the initial calculation module is used to determine the solar variation parameters of each clustering location according to the clustering location of each photovoltaic module, and determine the initial power generation calculation value of each clustering location according to the solar variation parameters of each clustering location; the correction calculation module is used to determine the power generation fluctuation parameters according to the solar variation parameters of each clustering location, and correct the initial power generation calculation value according to the power generation fluctuation parameters to obtain the final power generation calculation value.

[0074] By applying the above technical scheme, the present invention obtains the geographical location of each photovoltaic module in the photovoltaic power station, clusters each photovoltaic module according to the geographical location, and obtains the clustering position of each photovoltaic module; determines the solar variation parameters of each clustering position according to the clustering position of each photovoltaic module, and determines the initial power generation calculation value of each clustering position according to the solar variation parameters of each clustering position; determines the power generation fluctuation parameters according to the solar variation parameters of each clustering position, and corrects the initial power generation calculation value according to the power generation fluctuation parameters to obtain the final power generation calculation value. The present invention reduces the influence of the environmental conditions of the photovoltaic power station and the volatility of the photovoltaic output on the power generation calculation, and improves the accuracy of the grid-connected power generation calculation of the photovoltaic system.

[0075] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for calculating the grid-connected power generation of a photovoltaic system, characterized in that: The method comprises: Obtaining the geographical location of each photovoltaic module in the photovoltaic power station, clustering each photovoltaic module according to the geographical location, and obtaining the clustering location of each photovoltaic module; Determine the solar variation parameters of each clustering position according to the clustering position of each photovoltaic module, and determine the initial power generation calculation value of each clustering position according to the solar variation parameters of each clustering position; The power generation fluctuation parameter is determined according to the solar variation parameter of each cluster position, and the initial power generation calculation value is corrected according to the power generation fluctuation parameter to obtain the final power generation calculation value.

2. The method for calculating the grid-connected power generation of a photovoltaic system according to claim 1, characterized in that: The step of clustering the photovoltaic modules according to their geographical locations to obtain the clustered locations of the photovoltaic modules includes: Determine the historical light intensity and historical ambient temperature of the corresponding geographical location according to the geographical location of each photovoltaic module in the photovoltaic power station, and determine the historical environmental condition parameters according to the historical light intensity and historical ambient temperature; Calculate the correlation coefficient between the historical environmental condition parameters and the power generation of the photovoltaic power station to obtain the power generation performance parameters of the corresponding positions of the photovoltaic modules; The photovoltaic components are clustered according to the power generation performance parameters at the corresponding positions of the photovoltaic components to obtain the clustering positions of each photovoltaic component.

3. The method for calculating the grid-connected power generation of a photovoltaic system according to claim 2, characterized in that: The clustering of photovoltaic components according to power generation performance parameters at corresponding positions of the photovoltaic components includes: A power generation performance data set is established according to the power generation performance parameters, and k initial clustering centers of the power generation performance data set are randomly selected; Calculate the Euclidean distance between the power generation performance parameters in the power generation performance data set and the initial cluster center, and divide each photovoltaic module into a corresponding cluster according to the Euclidean distance between the power generation performance parameters in the power generation performance data set and the initial cluster center; Calculate the average value of the power generation performance parameters in each cluster, and re-determine the cluster center according to the average value of the power generation performance parameters in each cluster; The above steps are iterated repeatedly until the cluster center no longer changes or the number of iterations reaches a preset iteration threshold, and the clustering results of the photovoltaic components are obtained.

4. The method for calculating the grid-connected power generation of a photovoltaic system according to claim 3, characterized in that: Determining the solar variation parameters of each cluster position according to the cluster positions of each photovoltaic module includes: Determine the geographical location of the corresponding cluster center according to the cluster positions of the photovoltaic components, and obtain the change of the light angle of the geographical location of the cluster center within a first preset period; An illumination variation curve diagram is drawn according to the illumination angle variation in the first preset period, and the solar variation parameter is determined according to the illumination variation curve diagram.

5. The method for calculating the grid-connected power generation of a photovoltaic system according to claim 4, characterized in that: Determining the solar variation parameter according to the illumination variation curve diagram includes: Obtaining a preset optimal angle range, screening out a duration of the illumination angle in the illumination change curve diagram being within the preset optimal angle range, and determining a first angle parameter according to the duration of the illumination angle in the preset optimal angle range; Obtaining the duration of the illumination angle in the non-preset optimal angle range and the number of intervals in the non-preset optimal angle range, normalizing the number of intervals in the non-preset optimal angle range, and multiplying the duration of the illumination angle in the non-preset optimal angle range and the number of intervals in the non-preset optimal angle range after normalization to obtain a second angle parameter; The ratio of the first angle parameter to the second angle parameter is calculated to obtain the solar variation parameter.

6. The method for calculating the grid-connected power generation of a photovoltaic system according to claim 5, characterized in that: The step of determining the calculated value of the initial power generation at each clustering position according to the solar variation parameter at each clustering position includes: Obtain historical solar variation parameters and corresponding cluster position power generation, and establish a training sample set based on the historical solar variation parameters and corresponding cluster position power generation; An initial power generation calculation model is established according to the training sample set, and the initial power generation calculation model is trained to obtain a trained power generation calculation model; The solar variation parameters of each cluster position in the current photovoltaic power station are input into the trained power generation calculation model to obtain the initial power generation calculation value.

7. The method for calculating the grid-connected power generation of a photovoltaic system according to claim 6, characterized in that: The step of determining the power generation fluctuation parameter according to the solar variation parameter at each cluster position includes: Obtaining solar variation parameters of each cluster position within a second preset period, performing curve fitting on the solar variation parameters of each cluster position within the second preset period, and obtaining a solar variation parameter fitting curve; Obtain a preset sliding time window, and divide the solar variation parameter fitting curve according to the preset sliding time window to obtain a plurality of sub-solar variation parameter fitting curves; Calculate the average value of the fitting curve of each sub-sun variation parameter, and draw the average value variation curve according to the average value of the fitting curve of each sub-sun variation parameter; The absolute values ​​of the slopes of adjacent average values ​​in the average value change curve are counted, and the average value of the absolute values ​​of the slopes in the average value change curve is calculated to obtain the power generation fluctuation parameter.

8. The method for calculating the grid-connected power generation of a photovoltaic system according to claim 7, characterized in that: The method of correcting the initial power generation calculation value according to the power generation fluctuation parameter includes: Obtaining a preset allowable fluctuation parameter, and calculating a difference between the power generation fluctuation parameter and the preset allowable fluctuation parameter; The initial power generation calculation value is corrected according to the difference between the power generation fluctuation parameter and the preset allowable fluctuation parameter to obtain the final power generation calculation value.

9. The method for calculating the grid-connected power generation of a photovoltaic system according to claim 8, characterized in that: The method of correcting the initial power generation calculation value according to the difference between the power generation fluctuation parameter and the preset allowable fluctuation parameter includes: The initial power generation calculation value is corrected according to the power generation correction formula, and the power generation correction formula is specifically: Among them, P α is the final power generation calculation value after correction, P0 is the initial power generation calculation value, F0 is the power generation fluctuation parameter, F α is the preset allowable fluctuation parameter, R is the preset range coefficient, and exp is the natural exponential function.

10. A photovoltaic system grid-connected power generation calculation system, characterized in that: include: A clustering module is used to obtain the geographical location of each photovoltaic module in the photovoltaic power station, cluster each photovoltaic module according to the geographical location, and obtain the clustering position of each photovoltaic module; An initial calculation module, used to determine the solar variation parameters of each cluster position according to the cluster position of each photovoltaic module, and determine the initial power generation calculation value of each cluster position according to the solar variation parameters of each cluster position; The correction calculation module is used to determine the power generation fluctuation parameter according to the solar variation parameter of each cluster position, and to correct the initial power generation calculation value according to the power generation fluctuation parameter to obtain the final power generation calculation value.

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