Profit and cost based thermal unit maintenance scheduling under price volatility

Hiroki Tajima, Junjiro Sugimoto, 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, firstly, electricity prices are forecasted for the targeted period using Artificial Neural Network (ANN). Secondly, the optimal combinatorial maintenance-scheduling problem is solved by using Reactive Tabu Search in the light of the electricity prices forecasted. 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Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference
    ページ1-6
    ページ数6
    2005
    DOI
    出版ステータスPublished - 2005
    イベント2005 IEEE/PES Transmission and DistributionConference and Exhibition - Asia and Pacific - Dalian
    継続期間: 2005 8 152005 8 18

    Other

    Other2005 IEEE/PES Transmission and DistributionConference and Exhibition - Asia and Pacific
    CityDalian
    Period05/8/1505/8/18

    ASJC Scopus subject areas

    • 工学(全般)
    • エネルギー(全般)

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