Fault section estimation in electrical power systems using artificial neural network approach

被引：23

作者：

Aygen, ZE ^{[1
]}

Seker, S ^{[1
]}

Bagriyanik, M ^{[1
]}

Bagriyanik, FG ^{[1
]}

Ayaz, E ^{[1
]}

机构：

[1] Istanbul Tech Univ, Elect & Elect Fac, Dept Elect Engn, TR-80626 Istanbul, Turkey

来源：

1999 IEEE TRANSMISSION AND DISTRIBUTION CONFERENCE, VOLS 1 & 2 | 1999年

关键词：

fault section estimation; artificial neural networks;

D O I：

10.1109/TDC.1999.756098

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：

Fault section estimation is important for the power system to be restored to its normal state after the faulty section is isolated. In this study, artificial neural network based approach is proposed to estimate the faulty section in pow er system by using the information from the protective relays and circuit breakers. The proposed approach is applied to a sample system where bus, transformer and line protection schemes an considered and the results an given.

引用

页码：466 / 469

页数：4

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