Wind direction clustering method and device and electronic equipment

Abstract

The invention provides a wind direction clustering method and device and electronic equipment, and the method comprises the steps: obtaining the periodic wind direction data of each fan of a wind power plant; determining a similarity measurement index suitable for the periodic wind direction data according to the periodic wind direction data; based on a similarity measurement index, selecting k clustering centers, and dividing the periodic wind direction data into k clusters; determining an error sum-of-squares criterion function based on the periodic wind direction data; and evaluating the clustering effect of the k clusters based on an error sum of squares criterion function, and determining a final clustering effect. The similarity measurement index and the error sum of squares criterion function suitable for the periodic wind direction data are determined through the periodic wind direction data, so that the defect that a traditional K-means algorithm is not suitable for clustering the periodic wind direction data is overcome, and the reliability and authenticity of a clustering result are ensured; and reliable and reasonable fan division can be obtained according to a clustering result, so that the subjectivity of manual sector division is avoided.

Description

technical field [0001] The present invention relates to the technical field of data clustering, in particular to a wind direction clustering method, device and electronic equipment. Background technique [0002] At present, my country's wind power generation is in a period of rapid and steady development. However, wind energy has randomness and volatility, resulting in greater uncertainty in the output power of wind farms. Existing research mainly focuses on the influence of wind speed characteristics on wind power output, and wind direction is also an important factor affecting wind power output. When studying wind direction factors, in order to avoid the subjective shortcomings of artificial division of sectors, a clustering algorithm is used to cluster the wind direction data recorded by the fan data acquisition and monitoring system, and the wind direction sectors are divided according to the clustering results. [0003] The commonly used clustering algorithm in the pri...

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Problems solved by technology

[0005] In view of this, the object of the present invention is to provide a wind direction clustering method, device and electronic equipment, which can determine the similarity measurement index and the error sum of squares criterion function through the wind direction change angle, and solve the problem that the traditional clustering algorithm is not suitable for periodic wind direction Disadvantages of clustering data

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