A transmission line fault locator based on Elman recurrent networks

被引：48
作者：
Ekici, Sami [1 ]
Yildirim, Selcuk [1 ]
Poyraz, Mustafa [2 ]
机构：
[1] Firat Univ, Dept Elect Educ, TR-23119 Elazig, Turkey
[2] Firat Univ, Dept Elect & Elect Engn, TR-23119 Elazig, Turkey
来源：
APPLIED SOFT COMPUTING | 2009年 / 9卷 / 01期
关键词：
Transmission lines; Fault location; Elman networks; Wavelet transform; DECOMPOSITION;
D O I：
10.1016/j.asoc.2008.04.011
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a transmission line fault location model which is based on an Elman recurrent network (ERN) has been presented for balanced and unbalanced short circuit faults. All fault situations with different inception times are implemented on a 380-kV prototype power system. Wavelet transform (WT) is used for selecting distinctive features about the faulty signals. The system has the advantages of utilizing single-end measurements, using both voltage and current signals. ERN is able to determine the fault location occurred on transmission line rapidly and correctly as an important alternative to standard feedforward back propagation networks (FFNs) and radial basis functions (RBFs) neural networks. (C) 2008 Elsevier B.V. All rights reserved.
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收藏
页码：341 / 347
页数：7
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