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Wind power plant marker post draught fan selection method based on principal component analysis

A principal component analysis, benchmarking fan technology, applied in the direction of instruments, data processing applications, calculations, etc., can solve the problem of no research or technology in the selection method of benchmarking fans in wind farms, to overcome the poor selection effect, overcome the low selection efficiency, Choose a good effect

Inactive Publication Date: 2013-08-28
STATE GRID CORP OF CHINA +2
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Problems solved by technology

[0004] In the process of realizing the present invention, the inventor found that there is no relevant research or technology on the selection method of wind farm benchmark fans

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  • Wind power plant marker post draught fan selection method based on principal component analysis
  • Wind power plant marker post draught fan selection method based on principal component analysis

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Embodiment Construction

[0041] 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.

[0042] In view of the problems existing in the prior art, according to the embodiment of the present invention, such as figure 1 and figure 2 As shown, a method for selecting benchmark wind turbines in wind farms based on principal component analysis (PCA, or Empirical Orthogonal Decomposition, or EOF) is proposed. Dimensionality reduction analysis can get the most representative benchmark fans.

[0043] see figure 1 , the method for selecting a wind farm benchmark wind turbine based on principal component analysis in this embodiment specifically includes the following steps:

[0044] Step 1: Obtain the historical output curve of each wind turbine in the wind f...

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Abstract

The invention discloses a wind power plant marker post draught fan selection method based on principal component analysis. The method includes the steps of acquiring a historical output power curve of each draught fan in a wind power plant, establishing a draught fan output power matrix according to historical output power of each draught fan in the wind power plant, carrying out the principal component analysis on the draught fan output power matrix after preprocessing the draught fan output power matrix, and with principal components with class distinction degrees as a basis for marker post draught fan selection, selecting the marker post draught fans. The wind power plant marker post draught fan selection method based on the principal component analysis can overcome the shortcomings of low selection efficiency, poor selection effects and the like in the prior art, and is high in selection efficiency and good in selection effect.

Description

technical field [0001] The present invention relates to the technical field of wind power generation, in particular to a method for selecting wind farm benchmark wind turbines based on principal component analysis. Background technique [0002] In order to count the theoretical output of wind farms, it is generally necessary for wind farms to select benchmark fans. In the case of limited output, it should try to ensure that the output of benchmark fans is not limited. Therefore, a new problem of how to select benchmark fans for wind farms arises. The selection of benchmark wind turbines should be representative, able to represent the overall operating status of the wind farm, and objectively reflect the annual theoretical power generation of the wind farm. [0003] At present, since my country's 10-million-kilowatt wind power base is still in the construction stage, a complete and effective selection standard for wind farm benchmark fans has not yet been formed. [0004] In...

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Application Information

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IPC IPC(8): G06Q50/06
Inventor 汪宁渤路亮马彦宏何世恩刘光途李剑楠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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