効率的な配電系統拡張計画のための多目的最適化手法の適用

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: 2012/11/01

タイトル(英語): Applying Multi-Objective Optimization for Effective Network Expansion Planning

著者名: 平田　陽介（東海大学工学部電気電子工学科），青木　秀憲（東海大学工学部電気電子工学科）

著者名(英語): Yosuke Hirata (Department of Electrical, Electrical and Electronics Engineering, Tokai University), Hidenori Aoki (Department of Electrical, Electrical and Electronics Engineering, Tokai University)

キーワード: 配電系統拡張計画，多目的最適化，リンケージ同定アルゴリズム，日負荷曲線　　distribution network expansion planning，multi-objective optimization，linkage identification genetic algorithm，daily load curve

要約(英語): This paper presents applying multi-objective optimization methods to network expansion planning. The distribution network expansion planning minimizes system cost and distribution loss while satisfying the constraints. Problem formulation results in combinatorial optimization problems that are difficult to solve due to complexity. This research applies a genetic algorithm, which is a meta-heuristics method. The present study proposes a new method of multi-objective optimization methods; NSGA-II and SPEA2 are assumed to be the best method now. The proposed method introduces the concept of a linkage identification genetic algorithm, enabling more efficient searching than methods hitherto known. In the past, most research that's network expansion planning didn't include load curve. This research demonstrated that the research has to include load curve. Also it proposed new method that's how to search including load curve for the research.

本誌: 電気学会論文誌B（電力・エネルギー部門誌） Vol.132 No.11 （2012）

本誌掲載ページ: 894-902 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/132/11/132_894/_article/-char/ja/