N-1事故を考慮した電力系統用蓄電池の最適配置

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: 2016/05/01

タイトル(英語): Optimal Assignment of the Battery for the Electric Power System Against N-1 Accident

著者名: 渡邉　秀俊（千葉大学大学院工学研究科），高瀬　信彰（千葉大学大学院工学研究科），岡本　卓（千葉大学大学院工学研究科），関　孝二郎（富士電機(株)），神通川　亨（富士電機(株)），相吉　英太郎（慶應義塾大学理工学部）

著者名(英語): Hidetoshi Watanabe (Graduate School of Engineering, Chiba University), Nobuaki Takase (Graduate School of Engineering, Chiba University), Takashi Okamoto (Graduate School of Engineering, Chiba University), Kojiro Seki (Fuji Electric Corporation), Toru Jintsugawa (Fuji Electric Corporation), Eitaro Aiyoshi (Faculty of Science and Technology, Keio University)

キーワード: 電力系統，蓄電池，最適配置，最適化，メタヒューリスティクス　　Electric power system，Storage battery，Optimal assignment，Optimization，Meta-heuristics

要約(英語): Recently, the introduction of the battery has been investigated in the electric power system. The purpose of the introduction of the battery is the system stabilization against the voltage fluctuation and the frequency fluctuation caused by the introduction of the renewable energy and the system accident. In this study, the battery is ranked as an instantaneous reserve power that instantaneously provides energy to the system in order to stabilize the system against the system disturbance. This study investigates the optimal battery assignment method against the system disturbance. Specifically, the one line accident in the electric power system is assumed as the cause for the system disturbance. Then, a new optimal battery assignment problem whose objective is the minimization of the variation of phase difference on all nodes caused by the accident at each branch is formulated. Then, an optimization method that consists of the tabu search and the differential evolution is applied to the formulated problem. The effectiveness of the proposed method is confirmed through numerical experiments of the application to the IEEJ EAST10 model.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.136 No.5 （2016） 特集：PID制御ベースのコントローラの高機能化アプローチ

本誌掲載ページ: 746-757 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/136/5/136_746/_article/-char/ja/