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

Ryuya Tanabe*, Keiichiro Yasuda, Ryuichi Yokoyama

*この研究の対応する著者

    研究成果: Article査読

    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.

    本文言語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
    4
    出版ステータスPublished - 1994 1 1

    ASJC Scopus subject areas

    • 電子工学および電気工学

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