Design and implementation of ANN-based fault location for EHV transmission lines

被引：0
|
作者：
Joorabian, M [1 ]
Asl, SMAT [1 ]
Monadi, M [1 ]
Marashi, SA [1 ]
机构：
[1] Shahid Chamran Univ, Khuzestan, Iran
来源：
IPEC 2003: Proceedings of the 6th International Power Engineering Conference, Vols 1 and 2 | 2003年
关键词：
fault locator; transmission lines; RBF 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 describes the design and implementation of an artificial neural networks-based fault locator for EHV transmission lines. This locator utilizes faulted voltage and current waveforms at one end of the line only. The RBF networks are trained with various samples of fault situations and used for fault type classification and fault location on the transmission line. The obtained results from testing of RBF networks clearly show that this technique is highly robust and very accurate. The technique takes into account all the practical limitations associated with a real system. Therefore, it is possible to economically implement an AI-based fault locator on a real system.
引用
收藏
页码：757 / 761
页数：5
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