Two-stage multi-objective unit commitment optimization under future load uncertainty

Bo Wang, You Li, Junzo Watada

    研究成果: Conference contribution

    1 被引用数 (Scopus)

    抄録

    The unit commitment problem is to reduce the total generation cost as much as possible while satisfying future power demands. Therefore, optimization must be performed based on correct predictions of future demands. However, various uncertain factors affect these loads making an exact forecasting unsuccessful. This study mitigates this difficulty by applying fuzzy set theory and the objective is to build a two-stage multi-objective fuzzy programming model. To define the supply reliability effectively, we propose a new concept of maximal blackout time based on the fuzzy credibility theory. In addition, an improved two-layer multi-objective particle swarm optimization algorithm is designed as the solution. Finally, the performance of this study is discussed in comparison with experimental results from several test systems.

    本文言語English
    ホスト出版物のタイトルProceedings - 2012 6th International Conference on Genetic and Evolutionary Computing, ICGEC 2012
    ページ128-131
    ページ数4
    DOI
    出版ステータスPublished - 2012
    イベント2012 6th International Conference on Genetic and Evolutionary Computing, ICGEC 2012 - Kitakyushu
    継続期間: 2012 8 252012 8 28

    Other

    Other2012 6th International Conference on Genetic and Evolutionary Computing, ICGEC 2012
    CityKitakyushu
    Period12/8/2512/8/28

    ASJC Scopus subject areas

    • Biochemistry, Genetics and Molecular Biology(all)

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