Proposal and evaluation of determination method for multi-objective dispatch of frequency control generators output to compensate renewable energy systems fluctuation in multi area system operation

Akihisa Kaneko, Yasuhiro Hayashi, Shunsuke Nonaka

    Research output: Contribution to journalArticle

    Abstract

    Recently, a multi area system operation utilized a tie-line has been verified to resolve a shortage of a control capacity of frequency control generators output due to a widespread penetration of renewable energy systems (RES). In order to determine the proper dispatch of the generators output to compensate RES fluctuation in the multi area system operation, the power system operators should consider power flow constrains and indexes of power system conditions such as the speed of dispatch, the balance of reserved control capacity in each area and the stability of power supply. In this paper, we propose a methodology to determine multi-objective dispatch candidates of frequency control generators output to compensate RES fluctuation in multi area system operation considering three indexes, a speed of dispatch, a reserved control capacity and a transient stability based on OPF and MOPSO. The methods determine the dispatch based on Euclidean norm of the indexes in the calculated candidates in order to consider all indexes well-balanced. The effectiveness of the proposed methodology is verified by a numerical simulation used IEEJ EAST 30-machine system model with much RES, and the effectiveness of the dispatch minimized Euclidean norm is confirmed by comparison to single-objective solution in each index among the calculated candidates.

    Original languageEnglish
    Pages (from-to)265-274
    Number of pages10
    JournalIEEJ Transactions on Power and Energy
    Volume138
    Issue number4
    DOIs
    Publication statusPublished - 2018 Jan 1

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    Computer simulation

    Keywords

    • Dispatch of frequency control generators output
    • Multi area system operation
    • Multi-objective optimization
    • Multi-objective particle swarm optimization
    • Optimal power flow
    • Renewable energy systems

    ASJC Scopus subject areas

    • Energy Engineering and Power Technology
    • Electrical and Electronic Engineering

    Cite this

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