CO2, sox and NOx emissions constrained multi-criteria-best generation mix using fuzzy set theory

Jaeseok Choi*, Sangheon Jeong, Shi Bo, Jeongje Park, A. A. El-Keib, Junzo Watada

*この研究の対応する著者

    研究成果: Conference contribution

    8 被引用数 (Scopus)

    抄録

    A new approach considering CO2 air pollution constraints in the long-term generation mix is proposed under uncertain circumstances. CO 2 emission of electricity system industry has over thirty percent of total emission quantity in the world. The CO2 emission in coal power plant competitive with nuclear power plant is very severe. The air pollution in coal is requiring LNG or new environmental type generation system (wind power, solar power tidal power et al.) instead of coal power plant, despite the new generation systems ask for very high construction cost. A characteristic feature of the presented approach in this paper is what effects give the air pollution constraints in long term best generation mix. Best generation mix problem is formulated by linear programming with fuel and construction cost minimization with load growth, reliability (reserve margin rate) and air pollution constraints. The proposed method accommodates the operation of pumped-storage generator. It was assumed in this study that the construction planning of the hydro power plants is given separately from the other generation plans. The effectiveness of the proposed approach is demonstrated by applying to the best generation mix problem of KEPCO-system, which contains nuclear, coal, LNG, oil and pumped-storage hydro plant in multi-years.

    本文言語English
    ホスト出版物のタイトルLESCOPE'07 - 2007 Large Engineering Systems Conference on Power Engineering
    ページ118-124
    ページ数7
    DOI
    出版ステータスPublished - 2007
    イベント2007 Large Engineering Systems Conference on Power Engineering, LESCOPE'07 - Montreal, QC
    継続期間: 2007 10 102007 10 12

    Other

    Other2007 Large Engineering Systems Conference on Power Engineering, LESCOPE'07
    CityMontreal, QC
    Period07/10/1007/10/12

    ASJC Scopus subject areas

    • エネルギー工学および電力技術
    • 制御およびシステム工学

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