Optimal deployment of fuel cells in distribution systems by using genetic algorithms

Y. Zoka*, H. Sasaki, J. Kubokawa, R. Yokoyama, H. Tanaka

*この研究の対応する著者

    研究成果: Conference contribution

    16 被引用数 (Scopus)

    抄録

    A fuel cell has been expected to be a very energy efficient and clean device and has been technologically matured to a stage of practical use. In consideration of its relatively small generation capacity, a fuel cell may be installed in a distribution network. This paper presents the framework of a method of introducing fuel cells into a radial distribution system. According to this framework, an optimal deployment problem of fuel cells is formulated as a combinatorial optimization problem. Since this problem has nonlinear objective function to be minimized, the optimal solution could be obtains only through an exhaustive search, which is susceptible to combinatorial explosion for large scale systems. Hence, a genetic algorithm (GA) must be an adequate method to obtain a solution within reasonable computation time. Further, several kinds of techniques to improve GA performance have been introduced in this paper. The proposed algorithm has been applied to test distribution systems of 69 and 111 nodes with successful results.

    本文言語English
    ホスト出版物のタイトルProceedings of the IEEE Conference on Evolutionary Computation
    Place of PublicationPiscataway, NJ, United States
    出版社IEEE
    ページ479-484
    ページ数6
    1
    出版ステータスPublished - 1995
    イベントProceedings of the 1995 IEEE International Conference on Evolutionary Computation. Part 1 (of 2) - Perth, Aust
    継続期間: 1995 11 291995 12 1

    Other

    OtherProceedings of the 1995 IEEE International Conference on Evolutionary Computation. Part 1 (of 2)
    CityPerth, Aust
    Period95/11/2995/12/1

    ASJC Scopus subject areas

    • 工学(全般)

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