Profit-based thermal unit maintenance scheduling under price volatility in competitive environment

Junjiro Sugimoto, Hiroki Tajima, Shuichi Machi, Ryuichi Yokoyama, V. V R Silva

    研究成果: Conference contribution

    2 被引用数 (Scopus)

    抄録

    This paper presents an improved profit-based maintenance scheduling approach by using Reactive Tabu search (RTS) in competitive environment. In competitive power markets, electricity prices are determined by biddings in electric power exchanges or bilateral contracts among suppliers and customers. 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 Eighth IASTED International Conference on Intelligent Systems and Control, ISC 2005
    編集者M.H. Hamza
    ページ131-136
    ページ数6
    出版ステータスPublished - 2005
    イベントEighth IASTED International Conference on Intelligent Systems and Control, ISC 2005 - Cambridge, MA
    継続期間: 2005 10 312005 11 2

    Other

    OtherEighth IASTED International Conference on Intelligent Systems and Control, ISC 2005
    CityCambridge, MA
    Period05/10/3105/11/2

    ASJC Scopus subject areas

    • 工学(全般)

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