Optimal Power Flow by Evolutionary Programming with Crossover Technique

カテゴリ: 全国大会

論文No: 6-111

グループ名: 【全国大会】平成20年電気学会全国大会論文集

発行日: 2008/03/19

タイトル(英語): Optimal Power Flow by Evolutionary Programming with Crossover Technique

著者名: Kritsana Tangpatiphan(東京大学),横山 明彦(東京大学)

著者名(英語): Kritsana Tangpatiphan(The University of Tokyo),Akihiko Yokoyama(The University of Tokyo)

要約(日本語): In the past, the application of classical optimization techniques is exploited to obtain the optimal power flow (OPF) solution, which is used to operate the power system in effective way. As a result of various constrains imposed by the physical and operational features of the electric network, the optimal solution of OPF becomes cumbersome to be obtained by using classical techniques. In this paper, the evolutionary programming (EP) with crossover technique is proposed to handle OPF. The effectiveness of the proposed method is investigated on IEEE 30-bus system with three different generator cost curves to represent a non-smooth and non-convex generator fuel cost function.

原稿種別: 日本語

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