Auction price-based thermal unit maintenance scheduling by reactive tabu search

Hiroki Tajima, Junjiro Sugimoto, Toshihisa Funabashi, Ryuichi Yokoyama

    研究成果: Conference contribution

    抄録

    This paper presents an improved both profit and cost based maintenance scheduling approach by using Reactive Tabu search (RTS) in competitive environment. In competitive power markets, electricity prices are determined by balance between demand and supply in electric power exchanges or bilateral contracts. So it is essential for system operation planners and market participants to take the volatility of electricity price into consideration. In the proposed maintenance scheduling method, the optimal combinatorial maintenance-scheduling problem is solved by using Reactive Tabu Search in the light of the electricity prices trend. This method proposes a new objective function by which the most profitable maintenance schedule would be attained. As an objective function, opportunity Loss of Maintenance (OLM) is adopted to maximize the profit of Generation Companies (GENCOS). Finally, the proposed maintenance scheduling is applied to a practical power system test model to verify the advantages and effectiveness of the method.

    本文言語English
    ホスト出版物のタイトル41st International Universities Power Engineering Conference, UPEC 2006, Conference Procedings
    ページ421-425
    ページ数5
    2
    DOI
    出版ステータスPublished - 2006
    イベント41st International Universities Power Engineering Conference, UPEC 2006 - Newcastle upon Tyne
    継続期間: 2006 9 62006 9 8

    Other

    Other41st International Universities Power Engineering Conference, UPEC 2006
    CityNewcastle upon Tyne
    Period06/9/606/9/8

    ASJC Scopus subject areas

    • エネルギー工学および電力技術

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