基于数据挖掘的方向保护选线判据的改进研究
Improvement research of line selection criterion of direction protection based on data mining
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摘要: 针对传统选线判据不能准确识别干扰信号、可能导致频繁误跳闸的问题,对传统选线方法进行了改进,即利用数据挖掘中的K-means算法进行聚类分析,根据某一支路的历史数据辨别漏电真零序电流和干扰信号,提高了选线判据的准确性。Abstract: In view of the problem that traditional line selection criterion can not accurately identify interfering signal and may cause frequent mistrip, improvement was carried out to traditional line selection method, namely using K-means algorithm of data mining for clustering analysis, and identifying true zero-sequence current of leakage and interfering signal according to historical data of a branch, so as to improve accuracy of line selection criterion.