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ID 14825
Eprint ID
14825
フルテキストURL
著者
Mehdi Eghbal Hiroshima University
Yorino Naoto Hiroshima University
Zoka Yoshifumi Hiroshima University
抄録
This paper presents a new approach to treat reactive power (VAr) planning problem using multi-objective evolutionary algorithms. Specifically, Strength Pareto Evolutionary Algorithm (SPEA) and Multi-Objective Particle Swarm Optimization (MOPSO) approaches have been developed and successfully applied. The overall problem is formulated as a nonlinear constrained multi-objective optimization problem. Minimizing the total incurred cost and maximizing the amount of Available Transfer Capability (ATC) are defined as the main objective functions. The proposed approaches have been successfully tested on IEEE 14 bus system. As a result a wide set of optimal solutions known as Pareto set is obtained and encouraging results show the superiority of the proposed approaches and confirm their potential to solve such a large scale multi-objective optimization problem.
発行日
2008-12-11
出版物タイトル
Proceedings : Fourth International Workshop on Computational Intelligence & Applications
2008巻
1号
出版者
IEEE SMC Hiroshima Chapter
開始ページ
165
終了ページ
170
ISSN
1883-3977
資料タイプ
会議発表論文
言語
English
イベント
Fourth International Workshop on Computational Intelligence & Applications IEEE SMC Hiroshima Chapter : IWCIA 2008
イベント地
東広島市
イベント地の別言語
Higashi-Hiroshima City
論文のバージョン
publisher
査読
有り
Eprints Journal Name
IWCIA