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

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

IEEE/PES Transmission and Distribution Conference on A Vision Into the 21st Century, Louisiana, United States Of America, 11 - 16 April 1999, pp.466-469 identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/tdc.1999.756098
  • City: Louisiana
  • Country: United States Of America
  • Page Numbers: pp.466-469
  • Keywords: fault section estimation, artificial neural networks, EXPERT SYSTEM
  • Istanbul Technical University Affiliated: Yes

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 pow er 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 an considered and the results an given.