Fuzzy theory-based best generation mix considering renewable energy generators

Jeongje Park, Liang Wu, Jaeseok Choi, Junmin Cha, A. A. El-Keib, Junzo Watada

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Citations (Scopus)

    Abstract

    This paper proposes a fuzzy linear programming (LP)-based solution approach for the long-term multi-stages best generation mix (BGM) problem considering wind turbine generators (WTG) and solar cell generators (SCG), and CO 2 emissions constraints. The proposed method uses fuzzy set theory to consider the uncertain circumstances ambiguities associated with budgets and reliability criterion level. The proposed approach provides a more flexible solution compared to a crisp robust plan. The effectiveness of the proposed approach is demonstrated by applying it to solve the multi-years best generation mix problem on the Korean power system, which contains nuclear, coal, LNG, oil, pumped-storage hydro, and WTGs and SCGs.

    Original languageEnglish
    Title of host publicationIEEE International Conference on Fuzzy Systems
    Pages1462-1467
    Number of pages6
    DOIs
    Publication statusPublished - 2009
    Event2009 IEEE International Conference on Fuzzy Systems - Jeju Island
    Duration: 2009 Aug 202009 Aug 24

    Other

    Other2009 IEEE International Conference on Fuzzy Systems
    CityJeju Island
    Period09/8/2009/8/24

    Keywords

    • Air pollution
    • Best generation mix
    • Fuzzy linear programming
    • Renewable energy generators

    ASJC Scopus subject areas

    • Software
    • Artificial Intelligence
    • Applied Mathematics
    • Theoretical Computer Science

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  • Cite this

    Park, J., Wu, L., Choi, J., Cha, J., El-Keib, A. A., & Watada, J. (2009). Fuzzy theory-based best generation mix considering renewable energy generators. In IEEE International Conference on Fuzzy Systems (pp. 1462-1467). [5277196] https://doi.org/10.1109/FUZZY.2009.5277196