Improvement research of line selection criterion of direction protection based on data mining

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.