Transmission expansion planning using neuro-computing hybridized with genetic algorithm

Katsuhisa Yoshimoto, Keiichiro Yasuda, Ryuichi Yokoyama

    研究成果: Conference contribution

    33 被引用数 (Scopus)

    抄録

    The aim of transmission expansion planning is to determine which right-of-way to construct new lines in order to meet the future load in the most economical way. This problem has been solved by the mathematical programming techniques, which require considerable computational efforts, or by successive planning based on sensitivity analysis, which find a single non-optimal solution. Although another method that has efficiency for combinatorial problems is the neuro-computing, this approach obtains poor solutions while it saves computational efforts. The most desirable approach for this planning problem can find many good solutions in reasonable time, because experts of planning will easily plan the economical and reliable expansion according to these solutions by compare with each other. This paper presents an approach for solving transmission expansion planning based on neuro-computing hybridized with genetic algorithm. This approach generates suitable initial states, which include past information, of neural networks utilizing genetic algorithm. Mingling neuro-computing and genetic algorithm, the proposed approach can find many good solutions in reasonable time making full use of their merits. Computational examples show the effectiveness of the proposed approach by comparison with conventional approaches.

    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126-131
    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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