Probabilistic production cost credit evaluation of wind turbine generators

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

    Research output: Contribution to journalArticle

    9 Citations (Scopus)

    Abstract

    This paper proposes an algorithm for probabilistic production cost credit evaluation of wind turbine generators (WTG). Renewable energy resources such as wind, solar, micro hydro, tidal and biomass etc. are becoming increasingly important because of the increased interest in protecting the environment. Wind energy is one of the most successfully used renewable energy sources used to produce electrical energy. The proposed approach was implemented on a power system that includes WTGs. Test results demonstrates the viability of the proposed approach for assessing the wind speed credit from the economics view point.

    Original languageEnglish
    Pages (from-to)3637-3646
    Number of pages10
    JournalInternational Journal of Innovative Computing, Information and Control
    Volume5
    Issue number11
    Publication statusPublished - 2009 Nov

    Keywords

    • Probabilistic production cost credit
    • Wind speed Credit
    • Wind turbine generator

    ASJC Scopus subject areas

    • Computational Theory and Mathematics
    • Information Systems
    • Software
    • Theoretical Computer Science

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