Wavelet-based ANN approach for transmission line protection

被引：68

作者：

Martín, F ^{[1
]}

Aguado, JA ^{[1
]}

机构：

[1] Univ Malaga, Dept Elect Engn, E-29013 Malaga, Spain

来源：

IEEE TRANSACTIONS ON POWER DELIVERY | 2003年 / 18卷 / 04期

关键词：

artificial neural networks; discrete wavelet transform; transmission line protection;

D O I：

10.1109/TPWRD.2003.817523

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：

A new approach of digital relays for transmission line protection is presented. The proposed technique consists of a preprocessing module based on discrete wavelet transforms (DWTs) in combination with an artificial neural network (ANN) for detecting and classifying fault events. The DWT acts as an extractor of distinctive features in the input signals at the relay location. This information is then fed into an ANN for classifying fault conditions. A DWT with quasioptimal performance for the preprocessing stage is also presented.

引用

页码：1572 / 1574

页数：3