Application of Multi-Objective Evolutionary Optimization Algorithms to Reactive Power Planning Problem
Fourth International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2008
165-170 頁
2008-12 発行
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この文献の参照には次のURLをご利用ください : https://ir.lib.hiroshima-u.ac.jp/00025642
| ファイル情報(添付) | |
| タイトル ( eng ) |
Application of Multi-Objective Evolutionary Optimization Algorithms to Reactive Power Planning Problem
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| 作成者 |
Eghbal Mehdi
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| 収録物名 |
Fourth International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2008
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| 開始ページ | 165 |
| 終了ページ | 170 |
| 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.
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| NDC分類 |
技術・工学 [ 500 ]
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| 言語 |
英語
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| 資源タイプ | 会議発表論文 |
| 出版者 |
IEEE SMC Hiroshima Chapter
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| 発行日 | 2008-12 |
| 権利情報 |
(c) Copyright by IEEE SMC Hiroshima Chapter.
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| 出版タイプ | Version of Record（出版社版。早期公開を含む） |
| アクセス権 | オープンアクセス |
| 収録物識別子 |
[ISSN] 1883-3977
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