Artificial neural network based application to reactive power dispatch problem

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

Artificial neural network based application to reactive power dispatch problem

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

^*Bu çalışma için yazışmadan sorumlu yazar

Elektrik Mühendisliği Bölümü

Araştırma çıktısı: Konferansa katkı › Yazı › Hakem

3 Atıf (Scopus)

Özet

Optimal reactive power dispatch problem is important for the power system to operate in a reliable and economic way. Many linear and nonlinear optimization techniques may be used to solve this problem. In this study, artificial neural network approach (ANN) to optimal reactive power dispatch problem is proposed. A multi layer feed forward ANN with error backpropagation algorithm is used. The proposed method is tested on a sample system and the results are compared with the ones obtained by classical optimization techniques.

Orijinal dil	İngilizce
Sayfalar	1080-1083
Sayfa sayısı	4
Yayın durumu	Yayınlandı - 1998
Etkinlik	Proceedings of the 1998 9th Mediterranean Electrotechnical Conference, MELECON. Part 2 (of 2) - Tel-Aviv, Israel Süre: 18 May 1998 → 20 May 1998

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???event.eventtypes.event.conference???	Proceedings of the 1998 9th Mediterranean Electrotechnical Conference, MELECON. Part 2 (of 2)
Şehir	Tel-Aviv, Israel
Periyot	18/05/98 → 20/05/98

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Link to publication in Scopus

Alıntı Yap

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title = "Artificial neural network based application to reactive power dispatch problem",

abstract = "Optimal reactive power dispatch problem is important for the power system to operate in a reliable and economic way. Many linear and nonlinear optimization techniques may be used to solve this problem. In this study, artificial neural network approach (ANN) to optimal reactive power dispatch problem is proposed. A multi layer feed forward ANN with error backpropagation algorithm is used. The proposed method is tested on a sample system and the results are compared with the ones obtained by classical optimization techniques.",

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

year = "1998",

language = "English",

pages = "1080--1083",

note = "Proceedings of the 1998 9th Mediterranean Electrotechnical Conference, MELECON. Part 2 (of 2) ; Conference date: 18-05-1998 Through 20-05-1998",

}

TY - CONF

T1 - Artificial neural network based application to reactive power dispatch problem

AU - Aygen, Z. E.

AU - Bagriyanik, M.

AU - Seker, S.

AU - Bagriyanik, F. G.

PY - 1998

Y1 - 1998

N2 - Optimal reactive power dispatch problem is important for the power system to operate in a reliable and economic way. Many linear and nonlinear optimization techniques may be used to solve this problem. In this study, artificial neural network approach (ANN) to optimal reactive power dispatch problem is proposed. A multi layer feed forward ANN with error backpropagation algorithm is used. The proposed method is tested on a sample system and the results are compared with the ones obtained by classical optimization techniques.

AB - Optimal reactive power dispatch problem is important for the power system to operate in a reliable and economic way. Many linear and nonlinear optimization techniques may be used to solve this problem. In this study, artificial neural network approach (ANN) to optimal reactive power dispatch problem is proposed. A multi layer feed forward ANN with error backpropagation algorithm is used. The proposed method is tested on a sample system and the results are compared with the ones obtained by classical optimization techniques.

UR - https://www.scopus.com/pages/publications/0032289597

M3 - Paper

AN - SCOPUS:0032289597

SP - 1080

EP - 1083

T2 - Proceedings of the 1998 9th Mediterranean Electrotechnical Conference, MELECON. Part 2 (of 2)

Y2 - 18 May 1998 through 20 May 1998

ER -

Artificial neural network based application to reactive power dispatch problem

Özet

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

Diğer Dosyalar ve Linkler

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