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

^*Corresponding author for this work

Department of Electrical Engineering

Istanbul Technical University

Research output: Contribution to conference › Paper › peer-review

3 Citations (Scopus)

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.

Original language	English
Pages	1080-1083
Number of pages	4
Publication status	Published - 1998
Event	Proceedings of the 1998 9th Mediterranean Electrotechnical Conference, MELECON. Part 2 (of 2) - Tel-Aviv, Israel Duration: 18 May 1998 → 20 May 1998

Conference

Conference	Proceedings of the 1998 9th Mediterranean Electrotechnical Conference, MELECON. Part 2 (of 2)
City	Tel-Aviv, Israel
Period	18/05/98 → 20/05/98

Cite this

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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",

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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 - http://www.scopus.com/inward/record.url?scp=0032289597&partnerID=8YFLogxK

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

Abstract

Conference

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