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

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

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

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

^*Bu çalışma için yazışmadan sorumlu yazar

Elektrik Mühendisliği Bölümü

Araştırma çıktısı: Konferansa katkı › Yazı › Hakem

47 Atıf (Scopus)

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 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.

Orijinal dil	İngilizce
Sayfalar	466-469
Sayfa sayısı	4
Yayın durumu	Yayınlandı - 1999
Etkinlik	Proceedings of the 1999 IEEE/PES Transmission and Distribution Conference - A Vision Into the 21st Century - New Orleans, LA, USA Süre: 11 Nis 1999 → 16 May 1999

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???event.eventtypes.event.conference???	Proceedings of the 1999 IEEE/PES Transmission and Distribution Conference - A Vision Into the 21st Century
Şehir	New Orleans, LA, USA
Periyot	11/04/99 → 16/05/99

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Alıntı Yap

@conference{1cd06d845b1d48cdba0c0eb004731c12,

title = "Fault section estimation in electrical power systems using artificial neural network approach",

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.",

author = "Aygen, \{Z. E.\} and S. Seker and M. Bagriyanik and Bagriyanik, \{F. G.\} and E. Ayaz",

year = "1999",

language = "English",

pages = "466--469",

note = "Proceedings of the 1999 IEEE/PES Transmission and Distribution Conference - A Vision Into the 21st Century ; Conference date: 11-04-1999 Through 16-05-1999",

}

TY - CONF

T1 - Fault section estimation in electrical power systems using artificial neural network approach

AU - Aygen, Z. E.

AU - Seker, S.

AU - Bagriyanik, M.

AU - Bagriyanik, F. G.

AU - Ayaz, E.

PY - 1999

Y1 - 1999

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/0032635385

M3 - Paper

AN - SCOPUS:0032635385

SP - 466

EP - 469

T2 - Proceedings of the 1999 IEEE/PES Transmission and Distribution Conference - A Vision Into the 21st Century

Y2 - 11 April 1999 through 16 May 1999

ER -

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

Özet

???event.eventtypes.event.conference???

Diğer Dosyalar ve Linkler

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