A new protection detection technique for high impedance fault using neural network

被引：15
|
作者：
Eissa, M. M. [1 ]
Sowilam, G. M. A. [1 ]
Sharaf, A. M. [2 ]
机构：
[1] Helwan Univ, Fac Engn, Dept Elect Engn, Giza, Egypt
[2] Univ New Brunswick, Dept Elect Engn, Fredericton, NB, Canada
来源：
2006 LARGE ENGINEERING SYSTEMS CONFERENCE ON POWER ENGINEERING | 2006年
关键词：
EHV transmission line; non linear ARC model; Matlab/Simulink; protective relaying; pattern recognition; ANN based relaying;
D O I：
10.1109/LESCPE.2006.280378
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
The paper presents the application of Neural Network technique as a pattern recognition to high impedance faults (HIFs). The relay is based on a novel low-frequency (3(rd) and 5(th) harmonic feature diagnostic vector). The currents and voltages are used as a featured extracted signals for fault discrimination. The focus of this paper is to design a robust ANN-based relay, which can determine the high impedance low current faults on distribution radial electrical systems. A variety of faults and system conditions have been simulated to evaluate the reliability and sensitivity of the proposed technique. Index Terms: EHV Transmission line, Non linear ARC model, MatlablSimulink, Protective Relaying, Pattern recognition, ANN based relaying.
引用
收藏
页码：146 / +
页数：2
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