Fault localization in electrical power systems: A pattern recognition approach

被引:62
|
作者
Zhang, Ya-Gang [1 ]
Wang, Zeng-Ping [1 ]
Zhang, Jin-Fang [1 ]
Ma, Jing [1 ]
机构
[1] N China Elect Power Univ, Minist Educ, Key Lab Power Syst Protect & Dynam Secur Monitori, Baoding 071003, Peoples R China
基金
中国国家自然科学基金;
关键词
Pattern recognition; Classification; Linear discriminant principle; Phasor measurement unit; Wide area measurement system; Fault localization; ROUGH SET; PLACEMENT; DIAGNOSIS;
D O I
10.1016/j.ijepes.2011.01.018
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Electrical power system is one of the most complex artificial systems in this world, which safe, steady, economical and reliable operation plays a very important part in social economic development, even in social stability. The fault in power system cannot be completely avoided. In this paper, we developed a method to resolve fault localization problems in power system. In our researches, based on real-time measurement of phasor measurement units, we used mainly pattern classification technology and linear discrimination principle of pattern recognition theory to search for laws of electrical quantity marked changes. The simulation results indicate that respectively study on the phase voltage, positive sequence voltage, negative sequence voltage, phase current, positive sequence current, negative sequence current of single-phase grounding faults and the positive sequence voltage, positive sequence current of three-phase short circuit faults, the pattern classification technology and linear discrimination principle are able to quickly and accurately identify the fault components and fault sections, and eventually accomplish fault isolation. In the study of electrical power systems, pattern recognition theory must have a good prospect of application. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:791 / 798
页数:8
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