Combined fuzzy-logic wavelet-based fault classification technique for power system relaying

被引:129
|
作者
Youssef, OAS [1 ]
机构
[1] Suez Canal Univ, Suez 43515, Egypt
关键词
decision making; fuzzy control; fuzzy sets; knowledge-based systems; wavelet analysis; wavelet transforms;
D O I
10.1109/TPWRD.2004.826386
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
This paper presents a new approach to real-time fault classification in power transmission systems using fuzzy-logic-based multicriteria approach. Only the three line currents are utilized to detect fault types such as LG, LL, and LLG, and then to define the faulty line. An online wavelet-based preprocessor stage,[1]-[4] is used with data window of ten samples (based on 4.5-kHz sampling rate and 50-Hz power frequency). The multicriteria algorithm is developed based on fuzzy sets for the decision-making part of the scheme. Computer simulation has been conducted using EMTP programs. Results are shown and they indicate that this approach can be used as an effective tool for high-speed digital relaying, as the correct detection is achieved in less than half a cycle and that computational burden is much simpler than the recently postulated fault classification techniques.
引用
收藏
页码:582 / 589
页数:8
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