A novel approach for fault location on transmission lines

Author

Tawfik, Mohamed M ; Morcos, M.M.

Author_Institution

Dept. of Electr. & Comput. Eng., Kansas State Univ., Manhattan, KS

Volume

18

Issue

11

fYear

1998

fDate

11/1/1998 12:00:00 AM

Firstpage

58

Lastpage

60

Abstract

A new approach for power transmission line fault location is investigated. The fault locator estimation is based on the noise generated by the fault in the sending-end current signal. The proposed scheme consists of a wavelet-based filter module, a Prony-based signal processor and an ANN-based estimator. Input data has been generated using the Alternative Transient Program (ATP). A three-phase, frequency-dependent (FD) transmission line model was used. The scheme is tested using data employed in the ANN training as well as new data sets. The proposed locator has a good level of accuracy

Keywords

fault location; filtering theory; learning (artificial intelligence); neural nets; power system analysis computing; power transmission lines; transmission line theory; wavelet transforms; Alternative Transient Program; Prony-based signal processor; artificial neural networks; computer simulation; data sets; fault location approach; fault noise generation; input data generation; power transmission line; three-phase frequency-dependent power line model; training; wavelet-based filter module; Fault location; Filters; Frequency; Noise generators; Power system transients; Power transmission lines; Signal generators; Signal processing; Testing; Transmission lines;

fLanguage

English

Journal_Title

Power Engineering Review, IEEE

Publisher

ieee

ISSN

0272-1724

Type

jour

DOI

10.1109/39.726909

Filename

726909