ANN Adapting Auto_Reclosing Relay In a Simulated Iraqi Super Grid

Rasool N. S., Al-Kababjie M. F.

11th WSEAS International Conference on Automatic Control, Modelling and Simulation, İstanbul, Türkiye, 30 Mayıs - 01 Haziran 2009, ss.438-439 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: İstanbul
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.438-439
  • İstanbul Teknik Üniversitesi Adresli: Hayır

Özet

In this paper the concept of Artificial Neural Network (ANN) was implemented in constructing an Adaptive Single Phase AR (ASPAR) relay. The heart of this relay is an ANN trained to discriminate healthy system, permanent fault, transient fault and extinguishing of the secondary arc. Thus issuing right decisions. The proposed ANN method is trained only to recognize single phase to ground fault types (both transient and permanent) simulated on TL Model between Baijie Thermal Power Station and Mosul Super Grid Sub-Station 400Kv from Iraqi North Regional Grids (INRG).