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

页码：146 / +

页数：2

共 10 条

[1]

*GIGRE, 1991, SC34WG04 GIGRE

[2]

Haykin S., 1994, Neural networks: a comprehensive foundation

[3] DIRECT ADAPTIVE OUTPUT TRACKING CONTROL USING MULTILAYERED NEURAL NETWORKS [J].