Fault section estimation in electrical power systems using artificial neural network approach

Z. E. Aygen*, S. Seker, M. Bagriyanik, F. G. Bagriyanik, E. Ayaz

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

47 Citations (Scopus)

Abstract

Fault section estimation is important for the power system to be restored to its normal state after the faulty section is isolated. In this study, artificial neural network based approach is proposed to estimate the faulty section in power system by using the information from the protective relays and circuit breakers. The proposed approach is applied to a sample system where bus, transformer and line protection schemes are considered and the results are given.

Original languageEnglish
Pages466-469
Number of pages4
Publication statusPublished - 1999
EventProceedings of the 1999 IEEE/PES Transmission and Distribution Conference - A Vision Into the 21st Century - New Orleans, LA, USA
Duration: 11 Apr 199916 May 1999

Conference

ConferenceProceedings of the 1999 IEEE/PES Transmission and Distribution Conference - A Vision Into the 21st Century
CityNew Orleans, LA, USA
Period11/04/9916/05/99

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