Fuzzy power system reliability model based on value-at-risk

Bo Wang, You Li, Junzo Watada

    研究成果: Conference contribution

    9 被引用数 (Scopus)

    抄録

    Conventional power system optimization problems deal with the power demand and spinning reserve through real values. In this research, we employ fuzzy variables to better characterize these values in uncertain environment. In building the fuzzy power system reliable model, fuzzy Value-at-Risk (VaR) can evaluate the greatest value under given confidence level and is a new technique to measure the constraints and system reliability. The proposed model is a complex nonlinear optimization problem which cannot be solved by simplex algorithm. In this paper, particle swarm optimization (PSO) is used to find optimal solution. The original PSO algorithm is improved to straighten out local convergence problem. Finally, the proposed model and algorithm are exemplified by one numerical example.

    本文言語English
    ホスト出版物のタイトルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    ページ445-453
    ページ数9
    6277 LNAI
    PART 2
    DOI
    出版ステータスPublished - 2010
    イベント14th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2010 - Cardiff
    継続期間: 2010 9 82010 9 10

    出版物シリーズ

    名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    番号PART 2
    6277 LNAI
    ISSN(印刷版)03029743
    ISSN(電子版)16113349

    Other

    Other14th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2010
    CityCardiff
    Period10/9/810/9/10

    ASJC Scopus subject areas

    • コンピュータ サイエンス(全般)
    • 理論的コンピュータサイエンス

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