Artificial intelligent based fault location technique for EHV series-compensated lines

被引：0
|
作者：
Joorabian, M [1 ]
机构：
[1] Shahid Chamran Univ, Sch Elect Engn, Ahvaz 61355, Iran
来源：
PROCEEDINGS OF EMPD '98 - 1998 INTERNATIONAL CONFERENCE ON ENERGY MANAGEMENT AND POWER DELIVERY, VOLS 1 AND 2 AND SUPPLEMENT | 1998年
关键词：
fault location; EHV series-compensated lines; fuzzy logic; artificial neural networks;
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：
This paper proposes the use of fuzzy neural networks (FNN) to solve the fault location problem for Series-Compensated Lines. The technique is based on a hybrid intelligent model that integrates artificial neural networks (ANN) and fuzzy logic system (FLS), The frequency components of the instantaneous three phase voltages and currents derived at the fault locator end of the line are used to train an ANN to classify the fault type, and a separate FNN is used to accurately locate a fault on EHV Series-Compensated Lines.
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页码：479 / 484
页数：6
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