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

    Fingerprint

    Fuzzy Theory
    Renewable Energy
    Generator
    Fuzzy Linear Programming
    Fuzzy set theory
    Wind Turbine
    Turbogenerators
    Fuzzy Set Theory
    Solar Cells
    Liquefied natural gas
    Power System
    Wind turbines
    Linear programming
    Solar cells
    Coal
    Ambiguity
    Oils

    Keywords

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

    ASJC Scopus subject areas

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

    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

    Fuzzy theory-based best generation mix considering renewable energy generators. / Park, Jeongje; Wu, Liang; Choi, Jaeseok; Cha, Junmin; El-Keib, A. A.; Watada, Junzo.

    IEEE International Conference on Fuzzy Systems. 2009. p. 1462-1467 5277196.

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

    Park, J, Wu, L, Choi, J, Cha, J, El-Keib, AA & Watada, J 2009, Fuzzy theory-based best generation mix considering renewable energy generators. in IEEE International Conference on Fuzzy Systems., 5277196, pp. 1462-1467, 2009 IEEE International Conference on Fuzzy Systems, Jeju Island, 09/8/20. https://doi.org/10.1109/FUZZY.2009.5277196
    Park J, Wu L, Choi J, Cha J, El-Keib AA, Watada J. Fuzzy theory-based best generation mix considering renewable energy generators. In IEEE International Conference on Fuzzy Systems. 2009. p. 1462-1467. 5277196 https://doi.org/10.1109/FUZZY.2009.5277196
    Park, Jeongje ; Wu, Liang ; Choi, Jaeseok ; Cha, Junmin ; El-Keib, A. A. ; Watada, Junzo. / Fuzzy theory-based best generation mix considering renewable energy generators. IEEE International Conference on Fuzzy Systems. 2009. pp. 1462-1467
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