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

LI Pengju; JIANG Xiaoping; GUO Jingyu; HUANG Chaojie; SHI Xuan; LI Jia

doi:10.13272/j.issn.1671-251x.2015.10.010

Volume 41 Issue 10

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LI Pengju, JIANG Xiaoping, GUO Jingyu, et al. Improvement research of line selection criterion of direction protection based on data mining[J]. Industry and Mine Automation, 2015, 41(10): 36-39. doi: 10.13272/j.issn.1671-251x.2015.10.010

Citation:

LI Pengju, JIANG Xiaoping, GUO Jingyu, et al. Improvement research of line selection criterion of direction protection based on data mining[J]. Industry and Mine Automation, 2015, 41(10): 36-39. doi: 10.13272/j.issn.1671-251x.2015.10.010

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

doi: 10.13272/j.issn.1671-251x.2015.10.010

1.
State Grid Fuyang Electric Power Supply Company, Fuyang 236017, China
2.
School of Mechanical Electronic and Information Engineering, China University of Mining and Technology (Beijing), Beijing 10

Publish Date: 2015-10-10

Abstract

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.
- leakage protection,
- line selection criterion,
- data mining,
- K-means algorithm,
- cluster analysis