ANN-based techniques for estimating fault location on transmission lines using Prony method

Author

Tawfik, M.M. ; Morcos, M.M.

Author_Institution

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

Volume

16

Issue

2

fYear

2001

fDate

4/1/2001 12:00:00 AM

Firstpage

219

Lastpage

224

Abstract

A system is proposed to locate faults on transmission lines using the traveling wave phenomenon. Prony method is used to analyze the voltage or current signal at the local bus and extract its modal information. This information represents the traveling wave generated by the fault and can be used to estimate its location. Artificial neural networks (ANNs) are used to estimate the fault location based on the modal information. Two schemes are presented: the first with a voltage input signal; and the second with a current input signal. Training and testing data are obtained by ATP-EMTP simulations. Tests were done to study the effect of fault resistance variation and fault incidence angle on both schemes. The system has the advantages of utilizing single-end measurements, using either a voltage or current signal; no pre-fault data is required

Keywords

EMTP; fault location; neural nets; power system analysis computing; power transmission faults; power transmission lines; power transmission protection; transmission network calculations; ANN-based techniques; ATP-EMTP simulations; Prony method; fault incidence angle; fault resistance variation; modal information extraction; power transmission line fault location; testing data; training data; Artificial neural networks; Current measurement; Data mining; Electrical resistance measurement; Fault location; Information analysis; Signal analysis; Testing; Transmission lines; Voltage;

fLanguage

English

Journal_Title

Power Delivery, IEEE Transactions on

Publisher

ieee

ISSN

0885-8977

Type

jour

DOI

10.1109/61.915486

Filename

915486