太陽光発電大量導入時におけるメタヒューリスティクスを用いた揚水発電所の最適運用計画作成手法

カテゴリ: 研究会(論文単位)

論文No: PSE11100

グループ名: 【B】電力・エネルギー部門 電力系統技術研究会

発行日: 2011/09/29

タイトル(英語): Study on Optimal Operational Scheduling of Pumped Storage Power Plant in a Power System with a Large Penetration of Photovoltaic Generation Using Meta-Heuristics Methods

著者名: 相原 良太(東京大学),横山 明彦(東京大学),野見山 史敏(九州電力)

著者名(英語): Aihara Ryota(The University of Tokyo),Yokoyama Akihiko(The University of Tokyo),Nomiyama Fumitoshi(Kyushu Electric Power Co.,Inc.)

要約(日本語): In recent years, a substantial amount of photovoltaic (PV) generations have been installed in power systems.However, the power output from the PVs is random and intermittent in nature. Therefore, the PVgenerations pose many challenges to the power system operation. To solve these issues, we propose thatpumped storage hydro power plant (PSHPP) is used effectively. In this paper, a new method for schedulingeffective operating patterns for PSHPP that make it possible to improve both reliability and economy ispresented.

原稿種別: 日本語

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