配電系統における設備形成制約を考慮した標準系統最適化

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: 2023/08/01

タイトル(英語): Distribution System Reconfiguration Considering Constraints for Asset Planning

著者名: 関崎　真也（広島大学大学院先進理工系科学研究科），寺山　正剛（広島大学大学院先進理工系科学研究科），西崎　一郎（広島大学大学院先進理工系科学研究科），林田　智弘（広島大学大学院先進理工系科学研究科），彦山　和久（中部電力パワーグリッド（株）），野々山　公亮（中部電力パワーグリッド（株））

著者名(英語): Shinya Sekizaki (Graduate School of Advanced Science and Engineering, Hiroshima University), Seigo Terayama (Graduate School of Advanced Science and Engineering, Hiroshima University), Ichiro Nishizaki (Graduate School of Advanced Science and Engineering, Hiroshima University), Tomohiro Hayashida (Graduate School of Advanced Science and Engineering, Hiroshima University), Kazuhisa Hikoyama (Chubu Electric Power Grid Company), Tomoaki Nonoyama (Chubu Electric Power Grid Company)

キーワード: 標準系統最適化，設備形成制約，多数目的最適化，進化型多数目的最適化アルゴリズム　　distribution system reconfiguration，constraints for asset planning，many-objective optimization，many-objective evolutionary algorithm

要約(英語): When constraints required for asset planning in distribution systems are violated by installing a new large load, distribution system reconfiguration becomes necessary to satisfy the constraints. However, due to the severe constraints caused by installing the new large load, it is not easy to find new distribution system candidates. If the reconfiguration does not satisfy the constraints, the investment in equipment such as upsizing distribution lines is required, which should be avoided as much as possible to minimize monetary costs. This paper proposes a multi-objective optimization-based approach to find new distribution system candidates to handle this intractable problem. We formulate the reconfiguration problem as a many-objective optimization problem with four minimization objectives: (i) the upper and lower bound violations of voltage, (ii) the upper bound violation of distribution line current, (iii) the bias in the number of automatic switch sections, and (iv) the number of exchanges between manual and remote switches. This problem is efficiently solved by a many-objective evolutionary algorithm that can provide both the distribution system candidates and information on the necessary upsizing lines to satisfy the constraints. The effectiveness of the proposed method is verified by computational experiments using a practical large-scale distribution system model.

本誌: 電気学会論文誌B（電力・エネルギー部門誌） Vol.143 No.8 （2023）

本誌掲載ページ: 492-502 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/143/8/143_492/_article/-char/ja/