Scenario selection by genetic algorithm for evaluating power resource planning

Yasuhiro Hayashi, Koichi Nara

    Research output: Contribution to journalArticle

    1 Citation (Scopus)

    Abstract

    Power resource planning which decides the construction time of generators is affected by several uncertain factors: load demand, fuel cost, and others. To evaluate power resource planning involving several uncertainties, planners have to prepare many scenarios and analyze whether the particular resource plan is feasible for every scenario. Of course, it takes a long time to analyze even one scenario. Therefore, in order to realize an efficient scenario analysis, effective scenarios must be selected, and the plan must be evaluated for these scenarios. In this paper, the authors propose a new algorithm for evaluating power resource planning with a genetic algorithm. Specifically, (1) a new preferable scenario selection algorithm, and (2) a new multi-objective scenario analyse algorithm are developed. Several numerical results for a new scenario selection algorithm are presented to demonstrate the effectiveness of the proposed algorithm.

    Original languageEnglish
    Pages (from-to)142-146
    Number of pages5
    JournalInternational Journal of Power and Energy Systems
    Volume18
    Issue number2
    Publication statusPublished - 1998

    Fingerprint

    Genetic algorithms
    Planning
    Genetic Algorithm
    Scenarios
    Resources
    Scenario Analysis
    Generator
    Costs
    Uncertainty
    Numerical Results
    Evaluate
    Demonstrate

    Keywords

    • Genetic algorithm
    • Power resource planning
    • Scenario selection

    ASJC Scopus subject areas

    • Energy (miscellaneous)

    Cite this

    Scenario selection by genetic algorithm for evaluating power resource planning. / Hayashi, Yasuhiro; Nara, Koichi.

    In: International Journal of Power and Energy Systems, Vol. 18, No. 2, 1998, p. 142-146.

    Research output: Contribution to journalArticle

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