配電系統事故復旧の困難さに応じて解空間を選択的にサンプリングする遺伝的アルゴリズム

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2011/05/01

タイトル(英語): Genetic Algorithm Sampling the Solution Space Selectively Depending on Difficulty of Power Distribution Network Restoration

著者名: 加藤　能史（横浜国立大学大学院工学府），濱上　知樹（横浜国立大学大学院工学府）

著者名(英語): Yoshifumi Kato (Graduate School of Engineering, Yokohama National University), Tomoki Hamagami (Graduate School of Engineering, Yokohama National University)

キーワード: スマートグリッド，配電系統事故復旧問題，遺伝的アルゴリズム，選択的サンプリング　　smart grid，distribution power network restoration，genetic algorithm，selective sampling

要約(英語): A new genetic algorithm for multi agent based autonomous power distribution network restoration system is proposed. The state of the art of this study is to realize a new genetic algorithm using selective sampling for improving the restoration performance. A proposed method realizes the selective sampling by a virtual accident selecting algorithm that changes probability of selecting virtual accident area. The virtual accident selecting algorithm consists of weight table and area-value list. The weight table represents a difficulty of restoration in each accident area. The area-value list represents a difficulty of restoration in latest generation, and effects on weight table in next generation. This architecture enables the system to change the probability of changing each virtual accident area autonomously from restoration simulation. The simulation results show the proposed method achieves to improve the performance.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.131 No.5 （2011） 特集：メタヒューリスティクスとその応用

本誌掲載ページ: 1031-1037 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/ieejeiss/131/5/131_5_1031/_article/-char/ja/