配電系統切替実施時における意思決定支援を目的とした進化型多数目的最適化手法の開発

カテゴリ: 論文誌(論文単位)

グループ名: 【B】電力・エネルギー部門

発行日: 2018/12/01

タイトル(英語): A Development of Evolutionary Many-objective Optimization Method for Decision Aid on Distribution System Reconfiguration

著者名: 関崎　真也（広島大学大学院工学研究科），山崎　拓哉（広島大学大学院工学研究科），西崎　一郎（広島大学大学院工学研究科），林田　智弘（広島大学大学院工学研究科），石川　博之（中部電力（株）），上西　宏和（中部電力（株））

著者名(英語): Shinya Sekizaki (Graduate School of Engineering, Hiroshima University), Takuya Yamasaki (Graduate School of Engineering, Hiroshima University), Ichiro Nishizaki (Graduate School of Engineering, Hiroshima University), Tomohiro Hayashida (Graduate School of

キーワード: 配電系統切替問題，多数目的最適化，意思決定支援，パレート最適解　　distribution system reconfiguration problem，many-objective optimization，decision aid，pareto optimal solution

要約(英語): This paper develops a novel, effective, and practical decision aid tool for distribution system operators based on a many-objective evolutionary algorithm. Since the distribution network reconfiguration problem in the real world has many objectives including discrete objectives, non-convexity, and severe constraints, the distribution system operators have difficulty in finding a preferred solution by him/her with little effort. To realize an efficient decision making in such a complicated optimization problem, providing alternatives with him/her to be chosen among them is one of practical approaches from the viewpoint of the multi-objective optimization approach. In order to find well-diversified Pareto optimal solutions for the many-objective optimization problem with an unknown Pareto front, we propose novel algorithms specialized for the distribution system reconfiguration problem integrated with a promising many-objective evolutionary algorithm, i.e., non-dominated sorting genetic algorithm III (NSGA-III). The proposed method enables the distribution system operators to find Pareto optimal solutions within a practical computational time and also choose the most preferred solution among them. The developed algorithm is validated using a realistic distribution system model with many nodes, switches including remote switches, and SVRs on multiple feeders.

本誌: 電気学会論文誌B（電力・エネルギー部門誌） Vol.138 No.12 （2018）

本誌掲載ページ: 925-938 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejpes/138/12/138_925/_article/-char/ja/