Emissions constrained multi-criteria-best generation mix using fuzzy dynamic programming

Jungji Kwon, Jaeseok Choi*, Trungtinh Tran, A. A. El-Keib, Junzo Watada

*この研究の対応する著者

    研究成果: Article査読

    8 被引用数 (Scopus)

    抄録

    This paper proposes a new approach for solving long-term best generation mix problem considering air pollution constraints (SOχ, NOχ and CO2) and multicriteria under uncertain circumstances by using fuzzy dynamic programming. A characteristic feature of the proposed approach can handle not only fuzziness in fuel and construction cost, load growth, reliability and air pollution but also considering many constraints of best generation mix problems. This approach can accommodate an arbitrary shape of a membership function and the pumped-storage hydro generator operation. The effectiveness of the proposed approach is demonstrated by applying it to solve the multi-years best generation mix problem on the KEPCO-system which contains nuclear, coal, LNG, oil and pumped-storage hydro power plants in Korea.

    本文言語English
    ページ(範囲)41-52
    ページ数12
    ジャーナルInternational Journal of Innovative Computing, Information and Control
    3
    1
    出版ステータスPublished - 2007 2

    ASJC Scopus subject areas

    • 計算理論と計算数学
    • 情報システム
    • ソフトウェア
    • 理論的コンピュータサイエンス

    フィンガープリント

    「Emissions constrained multi-criteria-best generation mix using fuzzy dynamic programming」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

    引用スタイル