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, Amerika Birleşik Devletleri, 11 - 16 Nisan 1999, ss.466-469 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/tdc.1999.756098
  • Basıldığı Şehir: Louisiana
  • Basıldığı Ülke: Amerika Birleşik Devletleri
  • Sayfa Sayıları: ss.466-469
  • Anahtar Kelimeler: fault section estimation, artificial neural networks, EXPERT SYSTEM
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

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.