Wavelet-based ANN approach for transmission line protection

Author

Martín, Francisco ; Aguado, José A.

Author_Institution

Dept. of Electr. Eng., Malaga Univ., Spain

Volume

18

Issue

4

fYear

2003

Firstpage

1572

Lastpage

1574

Abstract

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.

Keywords

discrete wavelet transforms; neural nets; power engineering computing; power transmission faults; power transmission lines; power transmission protection; relay protection; artificial neural network; digital relays; discrete wavelet transforms; fault conditions classification; fault events detection; preprocessing module; preprocessing stage; quasioptimal performance; transmission line protection; wavelet-based ANN; Artificial neural networks; Digital relays; Discrete wavelet transforms; Power system faults; Power system protection; Power system relaying; Power system reliability; Power system transients; Protective relaying; Wavelet transforms;

fLanguage

English

Journal_Title

Power Delivery, IEEE Transactions on

Publisher

ieee

ISSN

0885-8977

Type

jour

DOI

10.1109/TPWRD.2003.817523

Filename

1234723