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    Hybrid optimal online-overnight charging coordination of plug-in electric vehicles in smart grid

    Access Status
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    Authors
    Masoum, Mohammad Sherkat
    Nabavi, S.
    Date
    2016
    Type
    Journal Article
    
    Metadata
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    Citation
    Masoum, M.S. and Nabavi, S. 2016. Hybrid optimal online-overnight charging coordination of plug-in electric vehicles in smart grid. Journal of Power Sources. 330: pp. 7-17.
    Source Title
    Journal of Power Sources
    DOI
    10.1016/j.jpowsour.2016.08.124
    ISSN
    0378-7753
    School
    Department of Electrical and Computer Engineering
    URI
    http://hdl.handle.net/20.500.11937/50672
    Collection
    • Curtin Research Publications
    Abstract

    Optimal coordinated charging of plugged-in electric vehicles (PEVs) in smart grid (SG) can be beneficial for both consumers and utilities. This paper proposes a hybrid optimal online followed by overnight charging coordination of high and low priority PEVs using discrete particle swarm optimization (DPSO) that considers the benefits of both consumers and electric utilities. Objective functions are online minimization of total cost (associated with grid losses and energy generation) and overnight valley filling through minimization of the total load levels. The constraints include substation transformer loading, node voltage regulations and the requested final battery state of charge levels (SOCreq). The main challenge is optimal selection of the overnight starting time (toptimal-overnight,start) to guarantee charging of all vehicle batteries to the SOCreq levels before the requested plug-out times (treq) which is done by simultaneously solving the online and overnight objective functions. The online-overnight PEV coordination approach is implemented on a 449-node SG; results are compared for uncoordinated and coordinated battery charging as well as a modified strategy using cost minimizations for both online and overnight coordination. The impact of toptimal-overnight,start on performance of the proposed PEV coordination is investigated.

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