Method for selecting benchmarking photovoltaic components of photovoltaic power station on basis of principal component analysis

A technology of principal component analysis and photovoltaic modules, which is applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problems of the selection method or technology of wind farm benchmark photovoltaic modules, and overcome the poor selection effect, Overcoming low selection efficiency and good selection effect

Inactive Publication Date: 2013-09-11
STATE GRID CORP OF CHINA +2
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[0004] In the process of realizing the present invention, the inventor found that there is no re

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  • Method for selecting benchmarking photovoltaic components of photovoltaic power station on basis of principal component analysis

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[0043] The preferred embodiments of the present invention will be described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0044] In view of the problems existing in the prior art, according to the embodiment of the present invention, such as figure 1 As shown, a method for selecting benchmark photovoltaic modules of photovoltaic power stations based on principal component analysis (PCA, or Empirical Orthogonal Decomposition, or EOF) is proposed. Dimension reduction analysis of power data can obtain the most representative benchmark photovoltaic modules, so as to realize the selection of benchmark photovoltaic modules.

[0045] see figure 1 , the method for selecting a benchmark photovoltaic module of a photovoltaic power station based on principal component analysis in this embodiment...

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Abstract

The invention discloses a method for selecting benchmarking photovoltaic components of a photovoltaic power station on basis of principal component analysis. The method includes that historical output curves of each photovoltaic module of the photovoltaic power station are acquired; a photovoltaic module output matrix Xmxn is established based on the historical output curves of each photovoltaic module of the photovoltaic power station; the m refers to the number of the photovoltaic modules of the photovoltaic power station, the n refers to the number of power samples of each photovoltaic module, and Xij refers to the ith photovoltaic module and actual output of the jth time point; the photovoltaic module output matrix is subjected to principal component analysis after being preprocessed; principal components having category differentiation are taken as a basis for selecting the benchmarking photovoltaic modules. The method for selecting benchmarking photovoltaic components of the photovoltaic power station on basis of the principal component analysis has the advantages that the defects of low selection efficiency and poor selection effect and the like in the prior art are overcome, and high selection efficiency and good selection effect are realized and the like.

Description

technical field [0001] The present invention relates to the technical field of photovoltaic power generation, in particular to a method for selecting a benchmark photovoltaic module of a photovoltaic power station based on principal component analysis. Background technique [0002] In order to count the theoretical output of photovoltaic power plants, it is generally necessary for the photovoltaic power plant to select benchmark photovoltaic modules (inverters). In the case of limited output, it should try to ensure that the benchmark photovoltaic The whole new problem of component selection. The selection of benchmark photovoltaic modules should be representative, able to represent the overall operating status of the photovoltaic power station, and objectively reflect the annual theoretical power generation of the photovoltaic power station. [0003] At present, since my country's million-kilowatt-level photovoltaic power generation base is still in the initial stage of co...

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Application Information

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IPC IPC(8): G06F19/00
Inventor 路亮汪宁渤马彦宏何世恩刘光途王小勇赵龙丁坤王定美周强周识远李津马明张金平黄蓉吕清泉张建美
Owner STATE GRID CORP OF CHINA
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