The artificial neural networks based relay algorithm for distribution system high impedance fault detection

被引：0
|
作者：
Snider, LA [1 ]
Shan, YY [1 ]
机构：
[1] Univ Hong Kong, Hong Kong, Peoples R China
来源：
FOURTH INTERNATIONAL CONFERENCE ON ADVANCES IN POWER SYSTEM CONTROL, OPERATION & MANAGEMENT, VOLS 1 AND 2 | 1997年
关键词：
D O I：
暂无
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：
The paper presents a practical artificial neural network (ANN) based relay algorithm for electric distribution high impedance fault detection. The scheme utilizes the characteristics of high impedance faults (HIFs) in the resulting waveforms of the three phase residual current, voltage, admittance and power. By using Fourier analysis, their low order harmonic vectors were worked out which were then fed to a neural network. The network was based on either perceptron or feed forward algorithm. The trained network was verified using other distribution systems.
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收藏
页码：100 / 106
页数：7
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