Efficient algorithm for optimal generation mix taking into account fuzziness of decision making and planning parameters

Ryuya Tanabe, Keiichiro Yasuda, Ryuichi Yokoyama

    研究成果: Article

    抄録

    The paper presents an efficient computational algorithm for selecting the optimal generation mix under uncertain circumstances. The proposed method is based on dynamic programming is extended by using the Bellman-Zadeh maximizing decision. In this method, each generation technology and generation capacity are selected as stage and state, respectively. It also accomodates fuzziness and other constraints of generation expansion planning such as integer solutions of unit capacities, conditions of existing units. It can also use the arbitrary shape of membership functions.

    元の言語English
    ページ(範囲)37-48
    ページ数12
    ジャーナルElectrical Engineering in Japan (English translation of Denki Gakkai Ronbunshi)
    114
    発行部数4
    出版物ステータスPublished - 1994 1 1

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    Membership functions
    Dynamic programming
    Decision making
    Planning

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering

    これを引用

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