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

Ryuya Tanabe, Keiichiro Yasuda, Ryuichi Yokoyama

    Research output: Contribution to journalArticle


    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.

    Original languageEnglish
    Pages (from-to)37-48
    Number of pages12
    JournalElectrical Engineering in Japan (English translation of Denki Gakkai Ronbunshi)
    Issue number4
    Publication statusPublished - 1994 Jan 1


    ASJC Scopus subject areas

    • Electrical and Electronic Engineering

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