Modeling of load demand due to EV battery charging in distribution systems

Kejun Qian, Chengke Zhou, Malcolm Allan, Yue Yuan

    Research output: Contribution to journalArticle

    Abstract

    This paper presents a methodology for modeling and
    analyzing the load demand in a distribution system due to electric
    vehicle (EV) battery charging. Following a brief introduction to the
    common types of EV batteries and their charging characteristics,
    an analytical solution for predicting the EV charging load is developed.
    The method is stochastically formulated so as to account
    for the stochastic nature of the start time of individual battery
    charging and the initial battery state-of-charge. A comparative
    study is carried out by simulating four EV charging scenarios, i.e.,
    uncontrolled domestic charging, uncontrolled off-peak domestic
    charging, “smart” domestic charging and uncontrolled public
    charging—commuters capable of recharging at the workplace.

    Original languageEnglish
    Pages (from-to)802-810
    Number of pages9
    JournalIEEE Transactions on Power Systems
    Volume26
    Issue number2
    DOIs
    Publication statusPublished - Jan 2011

    Keywords

    • electric vehicle battery charging
    • distribution system

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