Finding Operating Rules for Reservoir of Hydropower Plants

カテゴリ: 部門大会

論文No: 14

グループ名: 【B】平成20年電気学会電力・エネルギー部門大会講演論文集

発行日: 2008/09/24

タイトル(英語): Finding Operating Rules for Reservoir of Hydropower Plants

著者名: Jha Deependra Kumar (Hiroshima University),Naoto Yorino(Hiroshima University),Yoshifumi Zoka(Hiroshima University),Kazunoni Iwata(Chugoku Electric Power Co.,Inc.),Ryuji Oe(Chugoku Electric Power Co.,Inc.)

著者名(英語): Deependra Kumar Jha (Hiroshima University),Yorino Naoto(Hiroshima University),Zoka Yoshifumi(Hiroshima University),Iwata Kazunoni(Chugoku Electric Power Co.,Inc.),Oe Ryuji(Chugoku Electric Power Co.,Inc.)

キーワード: Deterministic Dynamic Programming (DDP)|Markov chain|Reservoir operation policy|Stochastic Dynamic Programming (SDP)

要約(日本語): Stochastic Dynamic Programming (SDP) models can better incorporate the inherent uncertainty associated with the stream inflows. Markov-I (lag-one) and Independent inflow process assumptions find extensive application in the SDP models in deriving operatin

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