Photovoltaic array optimization method and system based on multi-dimensional data

Abstract

The invention relates to the technical field of photovoltaic arrays, and discloses a photovoltaic array optimization method and system based on multi-dimensional data, and the method comprises the steps: deploying a plurality of data collection positions on a photovoltaic array in advance, and collecting a plurality of groups of photovoltaic array response data of the photovoltaic array; processing the photovoltaic array response data to obtain a plurality of same-dimensional photovoltaic array response data sets, and calculating a same-dimensional photovoltaic array optimization factor; standard same-dimensional photovoltaic array optimization factors corresponding to all the same-dimensional photovoltaic array optimization factors are determined, and a multi-dimensional photovoltaic array optimization factor is calculated; according to the multi-dimensional photovoltaic array optimization factor and a preset multi-dimensional photovoltaic array optimization factor, whether the photovoltaic array needs to be optimized or not is judged, and if yes, an optimization strategy of the photovoltaic array is set based on the multi-dimensional photovoltaic array optimization factor. The optimization detection precision and efficiency are guaranteed, the power generation efficiency is guaranteed, and meanwhile the unnecessary optimization cost is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of photovoltaic arrays, and in particular to a photovoltaic array optimization method and system based on multidimensional data. Background Art

[0002] In today's society, with rising global energy demand and increasing attention to environmental protection, the development and utilization of renewable energy has become a key development direction in the energy sector. Among these, photovoltaic power generation, a form of solar energy, a clean, renewable, and abundant energy source, has garnered widespread attention. As the core component of a photovoltaic power generation system, the performance of the photovoltaic array is directly related to the overall system's power generation efficiency and economic benefits.

[0003] Traditional PV array design and optimization methods primarily analyze and adjust data based on a single dimension, such as solar radiation intensity, temperature, or component electrical parameters. When single-dimensional data fails to meet pre-defined requirements, the PV array is directly deemed to require optimization. This single-dimensional optimization approach has numerous limitations. In real-world applications, the operating environment of PV arrays is complex and constantly changing, making single-dimensional data difficult to accurately describe their operating status and performance changes. Traditional PV array design and optimization methods can further reduce power generation efficiency and increase unnecessary optimization costs. Summary of the Invention

[0004] An embodiment of the present invention provides a photovoltaic array optimization method and system based on multidimensional data. Based on multidimensional data, the present invention accurately detects whether the photovoltaic array needs to be optimized, ensures the optimization detection accuracy and efficiency, ensures power generation efficiency, and reduces unnecessary optimization costs.

[0005] To achieve the above objectives, the present invention provides a photovoltaic array optimization method based on multidimensional data, comprising: Determine a photovoltaic array, pre-deploy a plurality of data collection locations on the photovoltaic array, and collect a plurality of groups of photovoltaic array response data of the photovoltaic array based on the data collection locations; processing all photovoltaic array response data to obtain a plurality of same-dimensional photovoltaic array response data groups, and calculating a same-dimensional photovoltaic array optimization factor of the photovoltaic array based on the same-dimensional photovoltaic array response data groups; Extracting the same-dimensional photovoltaic array optimization factor corresponding to each same-dimensional photovoltaic array response data group, determining the standard same-dimensional photovoltaic array optimization factor corresponding to all the same-dimensional photovoltaic array optimization factors, and calculating the multi-dimensional photovoltaic array optimization factor of the photovoltaic array based on the standard same-dimensional photovoltaic array optimization factor; According to the relationship between the multidimensional photovoltaic array optimization factor and the preset multidimensional photovoltaic array optimization factor, it is determined whether the photovoltaic array needs to be optimized. If so, an optimization strategy for the photovoltaic array is set based on the multidimensional photovoltaic array optimization factor.

[0006] Furthermore, before calculating the same-dimensional photovoltaic array optimization factor of the photovoltaic array based on the same-dimensional photovoltaic array response data group, the method further includes: Determining maximum photovoltaic array response data and minimum photovoltaic array response data from the same-dimensional photovoltaic array response data group; Determining a difference between the maximum photovoltaic array response data and the minimum photovoltaic array response data as a data group difference of the photovoltaic array response data group with the same dimension; Calculating a data group reasonable value of the photovoltaic array response data group of the same dimension based on the data group extreme difference; Presetting a preset data group reasonable value, if the data group reasonable value is greater than or equal to the preset data group reasonable value, then not reorganizing the photovoltaic array response data group of the same dimension; If the data group reasonable value is less than the preset data group reasonable value, the photovoltaic array response data group of the same dimension is sorted in ascending order, and the first photovoltaic array response data and the second photovoltaic array response data are extracted; determining an absolute value of a difference between the first photovoltaic array response data and the second photovoltaic array response data; A preset absolute value of the difference is preset, and if the absolute value of the difference is greater than the preset absolute value of the difference, the first photovoltaic array response data and the second photovoltaic array response data are retained; If the absolute value of the difference is less than or equal to the preset absolute value of the difference, deleting the first photovoltaic array response data and retaining the second photovoltaic array response data; The third photovoltaic array response data and the fourth photovoltaic array response data are extracted, and the photovoltaic array response data in the same-dimensional photovoltaic array response data group are analyzed iteratively, and all the retained photovoltaic array response data are used as the same-dimensional photovoltaic array response data group.

[0007] Furthermore, when calculating the data group reasonable value of the photovoltaic array response data group of the same dimension based on the data group extreme difference, it includes: The reasonable value of the data set of the photovoltaic array response data set with the same dimension is calculated according to the following formula: ; Among them, s is the reasonable value of the data group of the photovoltaic array response data group with the same dimension, a1 is the maximum photovoltaic array response data, a2 is the minimum photovoltaic array response data, n is the number of photovoltaic array response data in the photovoltaic array response data group with the same dimension, k iis the response data of the ith photovoltaic array in the same-dimension photovoltaic array response data group, k i+1 is the i+1th photovoltaic array response data in the photovoltaic array response data group of the same dimension.

[0008] Furthermore, when calculating the same-dimensional photovoltaic array optimization factor of the photovoltaic array based on the same-dimensional photovoltaic array response data group, the method includes: randomly extracting first photovoltaic array response data from the same-dimensional photovoltaic array response data group, and determining an absolute value of a difference between the remaining photovoltaic array response data in the same-dimensional photovoltaic array response data group and the first photovoltaic array response data as the first photovoltaic array response data difference; extracting a maximum first photovoltaic array response data difference from all first photovoltaic array response data differences, and generating a first difference mark; randomly extracting second photovoltaic array response data from the same-dimensional photovoltaic array response data group, and determining an absolute value of a difference between the remaining photovoltaic array response data in the same-dimensional photovoltaic array response data group and the second photovoltaic array response data as the second photovoltaic array response data difference; extracting the maximum second photovoltaic array response data difference from all second photovoltaic array response data differences, and generating a second difference mark; Analyze the remaining photovoltaic array response data to determine a plurality of corresponding difference markers; Extract the photovoltaic array response data corresponding to all difference marks, and determine whether there is the same photovoltaic array response data. If so, count the number of the same photovoltaic array response data; Count the number of different photovoltaic array response data of the remaining photovoltaic array response data; Determining a ratio of the amount of the same photovoltaic array response data to the amount of the different photovoltaic array response data as a same-dimensional photovoltaic array optimization factor of the photovoltaic array; If not, determining maximum photovoltaic array response data and minimum photovoltaic array response data from the difference flag, and determining the photovoltaic array response data and value of the maximum photovoltaic array response data and the minimum photovoltaic array response data; Calculate the remaining photovoltaic array response data and values ​​of the remaining photovoltaic array response data; A ratio of the photovoltaic array response data and value to the remaining photovoltaic array response data and values ​​is determined as a same-dimensional photovoltaic array optimization factor of the photovoltaic array.

[0009] Furthermore, when determining the standard same-dimensional photovoltaic array optimization factors corresponding to all same-dimensional photovoltaic array optimization factors, and calculating the multi-dimensional photovoltaic array optimization factor of the photovoltaic array based on the standard same-dimensional photovoltaic array optimization factors, the method includes: Extracting the same photovoltaic array optimization factor from all photovoltaic array optimization factors of the same dimension, and obtaining multiple sequences of the same photovoltaic array optimization factors; Counting the number of first identical photovoltaic array optimization factor sequences of identical photovoltaic array optimization factor sequences; Extracting a same photovoltaic array optimization factor from all the same photovoltaic array optimization factor sequences respectively, and calculating the first same photovoltaic array optimization factor and value; Obtaining a predetermined standard photovoltaic array optimization factor of the same dimension, eliminating all identical photovoltaic array optimization factor sequences that are smaller than the standard photovoltaic array optimization factor of the same dimension, and counting the number of second identical photovoltaic array optimization factor sequences of the remaining identical photovoltaic array optimization factor sequences; Extracting one identical photovoltaic array optimization factor from the remaining identical photovoltaic array optimization factor sequences, and calculating the second identical photovoltaic array optimization factor and value; The multi-dimensional photovoltaic array optimization factor of the photovoltaic array is calculated according to the number of the first identical photovoltaic array optimization factor sequences, the number of the second identical photovoltaic array optimization factor sequences, the first identical photovoltaic array optimization factor sum value, and the second identical photovoltaic array optimization factor sum value.

[0010] Furthermore, when determining whether the photovoltaic array needs to be optimized based on the relationship between the multi-dimensional photovoltaic array optimization factor and the preset multi-dimensional photovoltaic array optimization factor, the method includes: When the multi-dimensional photovoltaic array optimization factor is less than the preset multi-dimensional photovoltaic array optimization factor, it is determined that the photovoltaic array needs to be optimized; When the multi-dimensional photovoltaic array optimization factor is greater than or equal to the preset multi-dimensional photovoltaic array optimization factor, it is determined that the photovoltaic array does not need to be optimized.

[0011] Furthermore, when setting the optimization strategy of the photovoltaic array based on the multi-dimensional photovoltaic array optimization factor, it includes: Obtaining a current strategy of the photovoltaic array; Presetting a first preset multi-dimensional photovoltaic array optimization factor and a second preset multi-dimensional photovoltaic array optimization factor; Presetting a first preset optimization coefficient, a second preset optimization coefficient, and a third preset optimization coefficient; When the multi-dimensional photovoltaic array optimization factor is less than the first preset multi-dimensional photovoltaic array optimization factor, optimizing the current strategy based on the first preset optimization factor to obtain an optimization strategy for the photovoltaic array; When the multidimensional photovoltaic array optimization factor is greater than or equal to the first preset multidimensional photovoltaic array optimization factor and less than a second preset multidimensional photovoltaic array optimization factor, optimizing the current strategy based on the second preset optimization factor to obtain an optimization strategy for the photovoltaic array; When the multi-dimensional photovoltaic array optimization factor is greater than or equal to the second preset multi-dimensional photovoltaic array optimization factor, the current strategy is optimized based on the third preset optimization coefficient to obtain the optimization strategy of the photovoltaic array.

[0012] In order to achieve the above object, the present invention further provides a photovoltaic array optimization system based on multidimensional data, comprising: a data collection module, configured to determine a photovoltaic array, pre-deploy a plurality of data collection locations on the photovoltaic array, and collect a plurality of groups of photovoltaic array response data of the photovoltaic array based on the data collection locations; a first calculation module, configured to process all photovoltaic array response data to obtain a plurality of same-dimensional photovoltaic array response data groups, and calculate a same-dimensional photovoltaic array optimization factor of the photovoltaic array based on the same-dimensional photovoltaic array response data groups; A second calculation module is used to extract the same-dimensional photovoltaic array optimization factor corresponding to each same-dimensional photovoltaic array response data group, determine the standard same-dimensional photovoltaic array optimization factor corresponding to all the same-dimensional photovoltaic array optimization factors, and calculate the multi-dimensional photovoltaic array optimization factor of the photovoltaic array based on the standard same-dimensional photovoltaic array optimization factor; an optimization control module for determining whether the photovoltaic array needs to be optimized based on a relationship between the multidimensional photovoltaic array optimization factor and a preset multidimensional photovoltaic array optimization factor, and if so, setting an optimization strategy for the photovoltaic array based on the multidimensional photovoltaic array optimization factor.

[0013] Furthermore, it also includes: a data analysis module, configured to determine maximum photovoltaic array response data and minimum photovoltaic array response data from the photovoltaic array response data group of the same dimension; Determining a difference between the maximum photovoltaic array response data and the minimum photovoltaic array response data as a data group difference of the photovoltaic array response data group with the same dimension; Calculating a data group reasonable value of the photovoltaic array response data group of the same dimension based on the data group extreme difference; Presetting a preset data group reasonable value, if the data group reasonable value is greater than or equal to the preset data group reasonable value, then not reorganizing the photovoltaic array response data group of the same dimension; If the data group reasonable value is less than the preset data group reasonable value, the photovoltaic array response data group of the same dimension is sorted in ascending order, and the first photovoltaic array response data and the second photovoltaic array response data are extracted; determining an absolute value of a difference between the first photovoltaic array response data and the second photovoltaic array response data; A preset absolute value of the difference is preset, and if the absolute value of the difference is greater than the preset absolute value of the difference, the first photovoltaic array response data and the second photovoltaic array response data are retained; If the absolute value of the difference is less than or equal to the preset absolute value of the difference, deleting the first photovoltaic array response data and retaining the second photovoltaic array response data; The third photovoltaic array response data and the fourth photovoltaic array response data are extracted, and the photovoltaic array response data in the same-dimensional photovoltaic array response data group are analyzed iteratively, and all the retained photovoltaic array response data are used as the same-dimensional photovoltaic array response data group.

[0014] Furthermore, the data analysis module is used to: The reasonable value of the data set of the photovoltaic array response data set with the same dimension is calculated according to the following formula: ; Among them, s is the reasonable value of the data group of the photovoltaic array response data group with the same dimension, a1 is the maximum photovoltaic array response data, a2 is the minimum photovoltaic array response data, n is the number of photovoltaic array response data in the photovoltaic array response data group with the same dimension, k i is the response data of the ith photovoltaic array in the same-dimension photovoltaic array response data group, k i+1 is the i+1th photovoltaic array response data in the photovoltaic array response data group of the same dimension.

[0015] Compared with the prior art, the present invention has the following beneficial effects: The present invention discloses a photovoltaic array optimization method and system based on multi-dimensional data. A plurality of data collection positions are pre-deployed on a photovoltaic array to collect a plurality of photovoltaic array response data of the photovoltaic array; the photovoltaic array response data are processed to obtain a plurality of photovoltaic array response data groups of the same dimension, and the optimization factor of the photovoltaic array of the same dimension is calculated; the standard photovoltaic array optimization factor of the same dimension corresponding to all the photovoltaic array optimization factors of the same dimension is determined, and the multi-dimensional photovoltaic array optimization factor is calculated; according to the multi-dimensional photovoltaic array optimization factor and the preset multi-dimensional photovoltaic array optimization factor, it is determined whether the photovoltaic array needs to be optimized. If so, the optimization strategy of the photovoltaic array is set based on the multi-dimensional photovoltaic array optimization factor. The present invention accurately detects whether the photovoltaic array needs to be optimized based on the multi-dimensional data, ensures the optimization detection accuracy and efficiency, ensures the power generation efficiency, and reduces unnecessary optimization costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Various other advantages and benefits will become apparent to those skilled in the art upon reading the detailed description of the preferred embodiment below. The accompanying drawings are for illustration purposes only and are not to be considered as limiting the present invention. The same reference symbols are used throughout the drawings to represent the same components. In the drawings: Figure 1 A schematic flow chart of a photovoltaic array optimization method based on multidimensional data in an embodiment of the present invention is shown; Figure 2 A schematic structural diagram of a photovoltaic array optimization system based on multi-dimensional data in an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0017] The following embodiments of the present invention are described in further detail with reference to the accompanying drawings and examples. The following embodiments are used to illustrate the present invention but are not intended to limit the scope of the present invention.

[0018] In the description of this application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating the orientation or position relationship, are based on the orientation or position relationship shown in the accompanying drawings, and are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on this application.

[0019] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of the technical features being referred to. Thus, a feature specified as "first" or "second" may explicitly or implicitly include one or more of such features. Throughout this application, unless otherwise specified, "plurality" means two or more.

[0020] In the description of this application, it should be noted that, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they can refer to fixed, detachable, or integral connections; mechanical or electrical connections; direct or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in this application based on the specific circumstances.

[0021] The following is a description of preferred embodiments of the present invention with reference to the accompanying drawings.

[0022] like Figure 1 As shown, an embodiment of the present invention discloses a photovoltaic array optimization method based on multidimensional data, comprising: S110: Determine a photovoltaic array, pre-deploy multiple data collection locations on the photovoltaic array, and collect multiple groups of photovoltaic array response data of the photovoltaic array based on the data collection locations; In this embodiment, data collection locations are deployed at key locations of the photovoltaic array, and the number of deployed data collection locations is preferably 15.

[0023] In this embodiment, the photovoltaic array response data includes voltage, current, power, etc. Each data collection location can collect a set of photovoltaic array response data, and thus multiple sets of photovoltaic array response data can be obtained.

[0024] S120: Processing all photovoltaic array response data to obtain multiple same-dimensional photovoltaic array response data groups, and calculating same-dimensional photovoltaic array optimization factors of the photovoltaic arrays based on the same-dimensional photovoltaic array response data groups; In this embodiment, processing all photovoltaic array response data to obtain multiple photovoltaic array response data groups of the same dimension means combining the photovoltaic array response data corresponding to each data collection position to obtain the corresponding photovoltaic array response data group of the same dimension. For example, the voltage corresponding to the first data collection position is extracted, the voltage corresponding to the second data collection position is extracted, and the voltage corresponding to the third data collection position is extracted, and these voltages are combined to obtain a photovoltaic array response data group of the same dimension regarding voltage.

[0025] In some embodiments of the present application, before calculating the same-dimensional photovoltaic array optimization factor of the photovoltaic array based on the same-dimensional photovoltaic array response data group, the method further includes: Determining maximum photovoltaic array response data and minimum photovoltaic array response data from the same-dimensional photovoltaic array response data group; Determining a difference between the maximum photovoltaic array response data and the minimum photovoltaic array response data as a data group difference of the photovoltaic array response data group with the same dimension; Calculating a data group reasonable value of the photovoltaic array response data group of the same dimension based on the data group extreme difference; Presetting a preset data group reasonable value, if the data group reasonable value is greater than or equal to the preset data group reasonable value, then not reorganizing the photovoltaic array response data group of the same dimension; If the data group reasonable value is less than the preset data group reasonable value, the photovoltaic array response data group of the same dimension is sorted in ascending order, and the first photovoltaic array response data and the second photovoltaic array response data are extracted; determining an absolute value of a difference between the first photovoltaic array response data and the second photovoltaic array response data; A preset absolute value of the difference is preset, and if the absolute value of the difference is greater than the preset absolute value of the difference, the first photovoltaic array response data and the second photovoltaic array response data are retained; If the absolute value of the difference is less than or equal to the preset absolute value of the difference, deleting the first photovoltaic array response data and retaining the second photovoltaic array response data; The third photovoltaic array response data and the fourth photovoltaic array response data are extracted, and the photovoltaic array response data in the same-dimensional photovoltaic array response data group are analyzed iteratively, and all the retained photovoltaic array response data are used as the same-dimensional photovoltaic array response data group.

[0026] In this embodiment, the reasonable value of the preset data combination is preferably 0.3, and can be adjusted according to actual conditions.

[0027] In this embodiment, the absolute value of the preset difference is preferably 4, and can be adjusted according to actual conditions.

[0028] In this embodiment, by repeating the above steps, all photovoltaic array response data can be deleted and retained.

[0029] The beneficial effect of the above technical solution is that the present invention analyzes the photovoltaic array response data in the same-dimensional photovoltaic array response data group and uses all retained photovoltaic array response data as the same-dimensional photovoltaic array response data group, thereby ensuring the accuracy of the same-dimensional photovoltaic array response data group, eliminating data noise, and providing reliable data support for subsequent photovoltaic array optimization.

[0030] In some embodiments of the present application, when calculating the data group reasonable value of the photovoltaic array response data group of the same dimension based on the data group extreme difference, the method includes: The reasonable value of the data set of the photovoltaic array response data set with the same dimension is calculated according to the following formula: ; Among them, s is the reasonable value of the data group of the photovoltaic array response data group with the same dimension, a1 is the maximum photovoltaic array response data, a2 is the minimum photovoltaic array response data, n is the number of photovoltaic array response data in the photovoltaic array response data group with the same dimension, k i is the response data of the ith photovoltaic array in the same-dimension photovoltaic array response data group, k i+1 is the i+1th photovoltaic array response data in the photovoltaic array response data group of the same dimension.

[0031] In some embodiments of the present application, when calculating the same-dimensional photovoltaic array optimization factor of the photovoltaic array based on the same-dimensional photovoltaic array response data group, the method includes: randomly extracting first photovoltaic array response data from the same-dimensional photovoltaic array response data group, and determining an absolute value of a difference between the remaining photovoltaic array response data in the same-dimensional photovoltaic array response data group and the first photovoltaic array response data as the first photovoltaic array response data difference; extracting a maximum first photovoltaic array response data difference from all first photovoltaic array response data differences, and generating a first difference mark; randomly extracting second photovoltaic array response data from the same-dimensional photovoltaic array response data group, and determining an absolute value of a difference between the remaining photovoltaic array response data in the same-dimensional photovoltaic array response data group and the second photovoltaic array response data as the second photovoltaic array response data difference; extracting the maximum second photovoltaic array response data difference from all second photovoltaic array response data differences, and generating a second difference mark; Analyze the remaining photovoltaic array response data to determine a plurality of corresponding difference markers; Extract the photovoltaic array response data corresponding to all difference marks, and determine whether there is the same photovoltaic array response data. If so, count the number of the same photovoltaic array response data; Count the number of different photovoltaic array response data of the remaining photovoltaic array response data; Determining a ratio of the amount of the same photovoltaic array response data to the amount of the different photovoltaic array response data as a same-dimensional photovoltaic array optimization factor of the photovoltaic array; If not, determining maximum photovoltaic array response data and minimum photovoltaic array response data from the difference flag, and determining the photovoltaic array response data and value of the maximum photovoltaic array response data and the minimum photovoltaic array response data; Calculate the remaining photovoltaic array response data and values ​​of the remaining photovoltaic array response data; A ratio of the photovoltaic array response data and value to the remaining photovoltaic array response data and values ​​is determined as a same-dimensional photovoltaic array optimization factor of the photovoltaic array.

[0032] In this embodiment, based on the above steps, a plurality of corresponding difference marks can be obtained.

[0033] The beneficial effects of the above technical solution are as follows: the present invention determines the ratio of the number of response data of the same photovoltaic array to the number of response data of different photovoltaic arrays as the same-dimensional photovoltaic array optimization factor of the photovoltaic array; or determines the ratio of the sum of the response data of the photovoltaic array to the sum of the response data of the remaining photovoltaic arrays as the same-dimensional photovoltaic array optimization factor of the photovoltaic array. The present invention provides two different calculation methods of the same-dimensional photovoltaic array optimization factor according to different situations, thereby ensuring the calculation accuracy of the same-dimensional photovoltaic array optimization factor. The same-dimensional photovoltaic array optimization factor can be used to feedback the degree of influence of a set of data on the photovoltaic array.

[0034] S130: extracting the same-dimensional photovoltaic array optimization factor corresponding to each same-dimensional photovoltaic array response data group, determining the standard same-dimensional photovoltaic array optimization factor corresponding to all the same-dimensional photovoltaic array optimization factors, and calculating the multi-dimensional photovoltaic array optimization factor of the photovoltaic array based on the standard same-dimensional photovoltaic array optimization factor; In some embodiments of the present application, when determining the standard same-dimensional photovoltaic array optimization factors corresponding to all same-dimensional photovoltaic array optimization factors, and calculating the multi-dimensional photovoltaic array optimization factor of the photovoltaic array based on the standard same-dimensional photovoltaic array optimization factors, the method includes: Extracting the same photovoltaic array optimization factor from all photovoltaic array optimization factors of the same dimension, and obtaining multiple sequences of the same photovoltaic array optimization factors; Counting the number of first identical photovoltaic array optimization factor sequences of identical photovoltaic array optimization factor sequences; Extracting a same photovoltaic array optimization factor from all the same photovoltaic array optimization factor sequences respectively, and calculating the first same photovoltaic array optimization factor and value; Obtaining a predetermined standard photovoltaic array optimization factor of the same dimension, eliminating all identical photovoltaic array optimization factor sequences that are smaller than the standard photovoltaic array optimization factor of the same dimension, and counting the number of second identical photovoltaic array optimization factor sequences of the remaining identical photovoltaic array optimization factor sequences; Extracting one identical photovoltaic array optimization factor from the remaining identical photovoltaic array optimization factor sequences, and calculating the second identical photovoltaic array optimization factor and value; The multi-dimensional photovoltaic array optimization factor of the photovoltaic array is calculated according to the number of the first identical photovoltaic array optimization factor sequences, the number of the second identical photovoltaic array optimization factor sequences, the first identical photovoltaic array optimization factor sum value, and the second identical photovoltaic array optimization factor sum value.

[0035] In this embodiment, the standard same-dimensional photovoltaic array optimization factor refers to the variance of all same-dimensional photovoltaic array optimization factors.

[0036] In this embodiment, the multi-dimensional photovoltaic array optimization factor of the photovoltaic array is calculated according to the following formula: ; Wherein, q is the multidimensional photovoltaic array optimization factor, p1 is the number of the first identical photovoltaic array optimization factor sequence, p2 is the number of the second identical photovoltaic array optimization factor sequence, j1 is the first identical photovoltaic array optimization factor and value, and j2 is the second identical photovoltaic array optimization factor and value.

[0037] The beneficial effect of the above technical solution is that the present invention calculates the multidimensional photovoltaic array optimization factor of the photovoltaic array based on the number of first identical photovoltaic array optimization factor sequences, the number of second identical photovoltaic array optimization factor sequences, the sum of the first identical photovoltaic array optimization factor and the sum of the second identical photovoltaic array optimization factor. The present invention can realize the analysis and calculation of multidimensional data through the multidimensional photovoltaic array optimization factor, thereby realizing the optimization control of the photovoltaic array by the multidimensional data.

[0038] S140: judging whether the photovoltaic array needs to be optimized based on the relationship between the multidimensional photovoltaic array optimization factor and a preset multidimensional photovoltaic array optimization factor; if so, setting an optimization strategy for the photovoltaic array based on the multidimensional photovoltaic array optimization factor.

[0039] In some embodiments of the present application, when determining whether the photovoltaic array needs to be optimized based on the relationship between the multi-dimensional photovoltaic array optimization factor and the preset multi-dimensional photovoltaic array optimization factor, the method includes: When the multi-dimensional photovoltaic array optimization factor is less than the preset multi-dimensional photovoltaic array optimization factor, it is determined that the photovoltaic array needs to be optimized; When the multi-dimensional photovoltaic array optimization factor is greater than or equal to the preset multi-dimensional photovoltaic array optimization factor, it is determined that the photovoltaic array does not need to be optimized.

[0040] In this embodiment, the preset multi-dimensional photovoltaic array optimization factor is preferably 0.6, and can be selected according to actual conditions.

[0041] The beneficial effect of the above technical solution is that the present invention determines whether the photovoltaic array needs to be optimized based on the relationship between the multidimensional photovoltaic array optimization factor and the preset multidimensional photovoltaic array optimization factor, thereby ensuring judgment efficiency and judgment accuracy.

[0042] In some embodiments of the present application, when setting the optimization strategy of the photovoltaic array based on the multi-dimensional photovoltaic array optimization factor, the method includes: Obtaining a current strategy of the photovoltaic array; Presetting a first preset multi-dimensional photovoltaic array optimization factor and a second preset multi-dimensional photovoltaic array optimization factor; Presetting a first preset optimization coefficient, a second preset optimization coefficient, and a third preset optimization coefficient; When the multi-dimensional photovoltaic array optimization factor is less than the first preset multi-dimensional photovoltaic array optimization factor, optimizing the current strategy based on the first preset optimization factor to obtain an optimization strategy for the photovoltaic array; When the multidimensional photovoltaic array optimization factor is greater than or equal to the first preset multidimensional photovoltaic array optimization factor and less than a second preset multidimensional photovoltaic array optimization factor, optimizing the current strategy based on the second preset optimization factor to obtain an optimization strategy for the photovoltaic array; When the multi-dimensional photovoltaic array optimization factor is greater than or equal to the second preset multi-dimensional photovoltaic array optimization factor, the current strategy is optimized based on the third preset optimization coefficient to obtain the optimization strategy of the photovoltaic array.

[0043] In this embodiment, the current strategy of the photovoltaic array is obtained, and the current strategy includes the photovoltaic array, the photovoltaic array angle, and the like.

[0044] In this embodiment, the first preset multi-dimensional photovoltaic array optimization factor is preferably 0.2, and the second preset multi-dimensional photovoltaic array optimization factor is preferably 0.4.

[0045] In this embodiment, the first preset optimization coefficient is preferably 0.85, the second preset optimization coefficient is preferably 1.15, and the third preset optimization coefficient is preferably 1.25.

[0046] In this embodiment, the current strategy is optimized based on the preset optimization coefficient to obtain the optimization strategy of the photovoltaic array, that is, the product value of each current strategy and the preset optimization coefficient is calculated respectively.

[0047] The beneficial effect of the above technical solution is that the present invention sets the optimization strategy of the photovoltaic array according to the multidimensional photovoltaic array optimization factor, the first preset multidimensional photovoltaic array optimization factor and the second preset multidimensional photovoltaic array optimization factor, thereby ensuring the setting accuracy and intelligence of the optimization strategy, eliminating the need for manual participation in setting and adjustment, and eliminating optimization errors and optimization subjectivity.

[0048] In order to further illustrate the technical idea of ​​the present invention, the technical solution of the present invention is now described in combination with specific application scenarios.

[0049] Correspondingly, such as Figure 2 As shown, the present application also provides a photovoltaic array optimization system based on multi-dimensional data, including: a data collection module, configured to determine a photovoltaic array, pre-deploy a plurality of data collection locations on the photovoltaic array, and collect a plurality of groups of photovoltaic array response data of the photovoltaic array based on the data collection locations; a first calculation module, configured to process all photovoltaic array response data to obtain a plurality of same-dimensional photovoltaic array response data groups, and calculate a same-dimensional photovoltaic array optimization factor of the photovoltaic array based on the same-dimensional photovoltaic array response data groups; A second calculation module is used to extract the same-dimensional photovoltaic array optimization factor corresponding to each same-dimensional photovoltaic array response data group, determine the standard same-dimensional photovoltaic array optimization factor corresponding to all the same-dimensional photovoltaic array optimization factors, and calculate the multi-dimensional photovoltaic array optimization factor of the photovoltaic array based on the standard same-dimensional photovoltaic array optimization factor; an optimization control module for determining whether the photovoltaic array needs to be optimized based on a relationship between the multidimensional photovoltaic array optimization factor and a preset multidimensional photovoltaic array optimization factor, and if so, setting an optimization strategy for the photovoltaic array based on the multidimensional photovoltaic array optimization factor.

[0050] In some embodiments of the present application, further comprising: a data analysis module, configured to determine maximum photovoltaic array response data and minimum photovoltaic array response data from the photovoltaic array response data group of the same dimension; Determining a difference between the maximum photovoltaic array response data and the minimum photovoltaic array response data as a data group difference of the photovoltaic array response data group with the same dimension; Calculating a data group reasonable value of the photovoltaic array response data group of the same dimension based on the data group extreme difference; Presetting a preset data group reasonable value, if the data group reasonable value is greater than or equal to the preset data group reasonable value, then not reorganizing the photovoltaic array response data group of the same dimension; If the data group reasonable value is less than the preset data group reasonable value, the photovoltaic array response data group of the same dimension is sorted in ascending order, and the first photovoltaic array response data and the second photovoltaic array response data are extracted; determining an absolute value of a difference between the first photovoltaic array response data and the second photovoltaic array response data; A preset absolute value of the difference is preset, and if the absolute value of the difference is greater than the preset absolute value of the difference, the first photovoltaic array response data and the second photovoltaic array response data are retained; If the absolute value of the difference is less than or equal to the preset absolute value of the difference, deleting the first photovoltaic array response data and retaining the second photovoltaic array response data; The third photovoltaic array response data and the fourth photovoltaic array response data are extracted, and the photovoltaic array response data in the same-dimensional photovoltaic array response data group are analyzed iteratively, and all the retained photovoltaic array response data are used as the same-dimensional photovoltaic array response data group.

[0051] In some embodiments of the present application, the data analysis module is used to: The reasonable value of the data set of the photovoltaic array response data set with the same dimension is calculated according to the following formula: ; Among them, s is the reasonable value of the data group of the photovoltaic array response data group with the same dimension, a1 is the maximum photovoltaic array response data, a2 is the minimum photovoltaic array response data, n is the number of photovoltaic array response data in the photovoltaic array response data group with the same dimension, k i is the response data of the ith photovoltaic array in the same-dimension photovoltaic array response data group, k i+1 is the i+1th photovoltaic array response data in the photovoltaic array response data group of the same dimension.

[0052] In the description of the above embodiments, specific features, structures, materials or characteristics may be combined in an appropriate manner in any one or more embodiments or examples.

[0053] While the present invention has been described above with reference to exemplary embodiments, various modifications may be made and equivalent components may be substituted without departing from the scope of the present invention. In particular, the various features of the disclosed embodiments may be combined with one another in any manner, provided no structural conflicts exist. These combinations are not fully described in this specification for reasons of space and resource conservation.

[0054] Those skilled in the art will understand that the above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art will still be able to modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein with equivalents. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention.

Claims

1. A photovoltaic array optimization method based on multidimensional data, characterized in that: include: Determine a photovoltaic array, pre-deploy a plurality of data collection locations on the photovoltaic array, and collect a plurality of groups of photovoltaic array response data of the photovoltaic array based on the data collection locations; processing all photovoltaic array response data to obtain a plurality of same-dimensional photovoltaic array response data groups, and calculating a same-dimensional photovoltaic array optimization factor of the photovoltaic array based on the same-dimensional photovoltaic array response data groups; Extracting the same-dimensional photovoltaic array optimization factor corresponding to each same-dimensional photovoltaic array response data group, determining the standard same-dimensional photovoltaic array optimization factor corresponding to all the same-dimensional photovoltaic array optimization factors, and calculating the multi-dimensional photovoltaic array optimization factor of the photovoltaic array based on the standard same-dimensional photovoltaic array optimization factor; According to the relationship between the multidimensional photovoltaic array optimization factor and the preset multidimensional photovoltaic array optimization factor, it is determined whether the photovoltaic array needs to be optimized. If so, an optimization strategy for the photovoltaic array is set based on the multidimensional photovoltaic array optimization factor.

2. The photovoltaic array optimization method based on multidimensional data according to claim 1, characterized in that: Before calculating the same-dimensional photovoltaic array optimization factor of the photovoltaic array based on the same-dimensional photovoltaic array response data group, the method further includes: Determining maximum photovoltaic array response data and minimum photovoltaic array response data from the same-dimensional photovoltaic array response data group; Determining a difference between the maximum photovoltaic array response data and the minimum photovoltaic array response data as a data group difference of the photovoltaic array response data group with the same dimension; Calculating a data group reasonable value of the photovoltaic array response data group of the same dimension based on the data group extreme difference; Presetting a preset data group reasonable value, if the data group reasonable value is greater than or equal to the preset data group reasonable value, then not reorganizing the photovoltaic array response data group of the same dimension; If the data group reasonable value is less than the preset data group reasonable value, the photovoltaic array response data group of the same dimension is sorted in ascending order, and the first photovoltaic array response data and the second photovoltaic array response data are extracted; determining an absolute value of a difference between the first photovoltaic array response data and the second photovoltaic array response data; A preset absolute value of the difference is preset, and if the absolute value of the difference is greater than the preset absolute value of the difference, the first photovoltaic array response data and the second photovoltaic array response data are retained; If the absolute value of the difference is less than or equal to the preset absolute value of the difference, deleting the first photovoltaic array response data and retaining the second photovoltaic array response data; The third photovoltaic array response data and the fourth photovoltaic array response data are extracted, and the photovoltaic array response data in the same-dimensional photovoltaic array response data group are analyzed iteratively, and all the retained photovoltaic array response data are used as the same-dimensional photovoltaic array response data group.

3. The photovoltaic array optimization method based on multidimensional data according to claim 2, characterized in that: When calculating the data group reasonable value of the photovoltaic array response data group of the same dimension based on the data group extreme difference, it includes: The reasonable value of the data set of the photovoltaic array response data set with the same dimension is calculated according to the following formula: ； Among them, s is the reasonable value of the data group of the photovoltaic array response data group with the same dimension, a1 is the maximum photovoltaic array response data, a2 is the minimum photovoltaic array response data, n is the number of photovoltaic array response data in the photovoltaic array response data group with the same dimension, k i is the response data of the ith photovoltaic array in the same-dimension photovoltaic array response data group, k i+1 is the i+1th photovoltaic array response data in the photovoltaic array response data group of the same dimension.

4. The photovoltaic array optimization method based on multidimensional data according to claim 1, characterized in that: When calculating the same-dimensional photovoltaic array optimization factor of the photovoltaic array based on the same-dimensional photovoltaic array response data group, the method includes: randomly extracting first photovoltaic array response data from the same-dimensional photovoltaic array response data group, and determining an absolute value of a difference between the remaining photovoltaic array response data in the same-dimensional photovoltaic array response data group and the first photovoltaic array response data as the first photovoltaic array response data difference; extracting a maximum first photovoltaic array response data difference from all first photovoltaic array response data differences, and generating a first difference mark; randomly extracting second photovoltaic array response data from the same-dimensional photovoltaic array response data group, and determining an absolute value of a difference between the remaining photovoltaic array response data in the same-dimensional photovoltaic array response data group and the second photovoltaic array response data as the second photovoltaic array response data difference; extracting the maximum second photovoltaic array response data difference from all second photovoltaic array response data differences, and generating a second difference mark; Analyze the remaining photovoltaic array response data to determine a plurality of corresponding difference markers; Extract the photovoltaic array response data corresponding to all difference marks, and determine whether there is the same photovoltaic array response data. If so, count the number of the same photovoltaic array response data; Count the number of different photovoltaic array response data of the remaining photovoltaic array response data; Determining a ratio of the amount of the same photovoltaic array response data to the amount of the different photovoltaic array response data as a same-dimensional photovoltaic array optimization factor of the photovoltaic array; If not, determining maximum photovoltaic array response data and minimum photovoltaic array response data from the difference flag, and determining the photovoltaic array response data and value of the maximum photovoltaic array response data and the minimum photovoltaic array response data; Calculate the remaining photovoltaic array response data and values ​​of the remaining photovoltaic array response data; A ratio of the photovoltaic array response data and value to the remaining photovoltaic array response data and values ​​is determined as a same-dimensional photovoltaic array optimization factor of the photovoltaic array.

5. The photovoltaic array optimization method based on multidimensional data according to claim 1, characterized in that: When determining the standard same-dimensional photovoltaic array optimization factors corresponding to all same-dimensional photovoltaic array optimization factors, and calculating the multi-dimensional photovoltaic array optimization factor of the photovoltaic array based on the standard same-dimensional photovoltaic array optimization factors, the method includes: Extracting the same photovoltaic array optimization factor from all photovoltaic array optimization factors of the same dimension, and obtaining multiple sequences of the same photovoltaic array optimization factors; Counting the number of first identical photovoltaic array optimization factor sequences of identical photovoltaic array optimization factor sequences; Extracting a same photovoltaic array optimization factor from all the same photovoltaic array optimization factor sequences respectively, and calculating the first same photovoltaic array optimization factor and value; Obtaining a predetermined standard photovoltaic array optimization factor of the same dimension, eliminating all identical photovoltaic array optimization factor sequences that are smaller than the standard photovoltaic array optimization factor of the same dimension, and counting the number of second identical photovoltaic array optimization factor sequences of the remaining identical photovoltaic array optimization factor sequences; Extracting one identical photovoltaic array optimization factor from the remaining identical photovoltaic array optimization factor sequences, and calculating the second identical photovoltaic array optimization factor and value; The multi-dimensional photovoltaic array optimization factor of the photovoltaic array is calculated according to the number of the first identical photovoltaic array optimization factor sequences, the number of the second identical photovoltaic array optimization factor sequences, the first identical photovoltaic array optimization factor sum value, and the second identical photovoltaic array optimization factor sum value.

6. The photovoltaic array optimization method based on multidimensional data according to claim 1, characterized in that: When determining whether the photovoltaic array needs to be optimized based on the relationship between the multi-dimensional photovoltaic array optimization factor and the preset multi-dimensional photovoltaic array optimization factor, the method includes: When the multi-dimensional photovoltaic array optimization factor is less than the preset multi-dimensional photovoltaic array optimization factor, it is determined that the photovoltaic array needs to be optimized; When the multi-dimensional photovoltaic array optimization factor is greater than or equal to the preset multi-dimensional photovoltaic array optimization factor, it is determined that the photovoltaic array does not need to be optimized.

7. The photovoltaic array optimization method based on multidimensional data according to claim 1, characterized in that: When setting the optimization strategy of the photovoltaic array based on the multi-dimensional photovoltaic array optimization factor, it includes: Obtaining a current strategy of the photovoltaic array; Presetting a first preset multi-dimensional photovoltaic array optimization factor and a second preset multi-dimensional photovoltaic array optimization factor; Presetting a first preset optimization coefficient, a second preset optimization coefficient, and a third preset optimization coefficient; When the multi-dimensional photovoltaic array optimization factor is less than the first preset multi-dimensional photovoltaic array optimization factor, optimizing the current strategy based on the first preset optimization factor to obtain an optimization strategy for the photovoltaic array; When the multidimensional photovoltaic array optimization factor is greater than or equal to the first preset multidimensional photovoltaic array optimization factor and less than a second preset multidimensional photovoltaic array optimization factor, optimizing the current strategy based on the second preset optimization factor to obtain an optimization strategy for the photovoltaic array; When the multi-dimensional photovoltaic array optimization factor is greater than or equal to the second preset multi-dimensional photovoltaic array optimization factor, the current strategy is optimized based on the third preset optimization coefficient to obtain the optimization strategy of the photovoltaic array.

8. A photovoltaic array optimization system based on multidimensional data, applied to the photovoltaic array optimization method based on multidimensional data according to any one of claims 1 to 7, characterized in that: include: a data collection module, configured to determine a photovoltaic array, pre-deploy a plurality of data collection locations on the photovoltaic array, and collect a plurality of groups of photovoltaic array response data of the photovoltaic array based on the data collection locations; a first calculation module, configured to process all photovoltaic array response data to obtain a plurality of same-dimensional photovoltaic array response data groups, and calculate a same-dimensional photovoltaic array optimization factor of the photovoltaic array based on the same-dimensional photovoltaic array response data groups; A second calculation module is used to extract the same-dimensional photovoltaic array optimization factor corresponding to each same-dimensional photovoltaic array response data group, determine the standard same-dimensional photovoltaic array optimization factor corresponding to all the same-dimensional photovoltaic array optimization factors, and calculate the multi-dimensional photovoltaic array optimization factor of the photovoltaic array based on the standard same-dimensional photovoltaic array optimization factor; an optimization control module for determining whether the photovoltaic array needs to be optimized based on a relationship between the multidimensional photovoltaic array optimization factor and a preset multidimensional photovoltaic array optimization factor, and if so, setting an optimization strategy for the photovoltaic array based on the multidimensional photovoltaic array optimization factor.

9. The photovoltaic array optimization system based on multidimensional data according to claim 8, characterized in that: Also includes: a data analysis module, configured to determine maximum photovoltaic array response data and minimum photovoltaic array response data from the photovoltaic array response data group of the same dimension; Determining a difference between the maximum photovoltaic array response data and the minimum photovoltaic array response data as a data group difference of the photovoltaic array response data group with the same dimension; Calculating a data group reasonable value of the photovoltaic array response data group of the same dimension based on the data group extreme difference; Presetting a preset data group reasonable value, if the data group reasonable value is greater than or equal to the preset data group reasonable value, then not reorganizing the photovoltaic array response data group of the same dimension; If the data group reasonable value is less than the preset data group reasonable value, the photovoltaic array response data group of the same dimension is sorted in ascending order, and the first photovoltaic array response data and the second photovoltaic array response data are extracted; determining an absolute value of a difference between the first photovoltaic array response data and the second photovoltaic array response data; A preset absolute value of the difference is preset, and if the absolute value of the difference is greater than the preset absolute value of the difference, the first photovoltaic array response data and the second photovoltaic array response data are retained; If the absolute value of the difference is less than or equal to the preset absolute value of the difference, deleting the first photovoltaic array response data and retaining the second photovoltaic array response data; The third photovoltaic array response data and the fourth photovoltaic array response data are extracted, and the photovoltaic array response data in the same-dimensional photovoltaic array response data group are analyzed iteratively, and all the retained photovoltaic array response data are used as the same-dimensional photovoltaic array response data group.

10. The photovoltaic array optimization system based on multidimensional data according to claim 9, characterized in that: The data analysis module is used to: The reasonable value of the data set of the photovoltaic array response data set with the same dimension is calculated according to the following formula: ； Among them, s is the reasonable value of the data group of the photovoltaic array response data group with the same dimension, a1 is the maximum photovoltaic array response data, a2 is the minimum photovoltaic array response data, n is the number of photovoltaic array response data in the photovoltaic array response data group with the same dimension, k i is the response data of the ith photovoltaic array in the same-dimension photovoltaic array response data group, k i+1 is the i+1th photovoltaic array response data in the photovoltaic array response data group of the same dimension.

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