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    Coordinated charging of plug-in electric vehicles in unbalanced three-phase residential networks with smart three-phase charger

    Access Status
    Fulltext not available
    Authors
    Masoum, Mohammad Sherkat
    Moghbel, Moayed
    Fereidoni, Alireza
    Date
    2014
    Type
    Conference Paper
    
    Metadata
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    Citation
    Masoum, M.S. and Moghbel, M. and Fereidoni, A. 2014. Coordinated charging of plug-in electric vehicles in unbalanced three-phase residential networks with smart three-phase charger, in Australasian Universities Power Engineering Conference, AUPEC 2014, Sep 28 2014. Perth, Australia: IEEE.
    Source Title
    Power Engineering Conference (AUPEC), 2014 Australasian Universities, IEEE Xplore
    Source Conference
    Australasian Universities Power Engineering Conference, AUPEC 2014
    DOI
    10.1109/AUPEC.2014.6966502
    School
    Department of Electrical and Computer Engineering
    URI
    http://hdl.handle.net/20.500.11937/12603
    Collection
    • Curtin Research Publications
    Abstract

    The penetration levels of plug-in electric vehicles (PEVs) is expected to rapidly increase within the next few years due to global trend of energy saving and environmental protection. It is well-known that uncoordinated charging of PEVs in residential distribution feeders will have significant negative impacts on grid performances causing increased losses, poor voltage regulations, network congestion and overloading of distribution transformers. Furthermore, the forthcoming smart grids will be unbalanced due to non-uniform distributions of DGs such as rooftop PVs as well as PEVs in the three phases with unpredictable charging rates, times and durations. This paper explores the detrimental impacts of random PEV charging on the distribution transformer loading and bus voltage profiles of an unbalanced smart grid. A decentralized three-phase PEV charging strategy is introduced which is capable of switching vehicle charging between the three phases based on the network data provided by the smart meters. Simulation results will be generated and analyzed for an unbalanced three-phase 62 node residential network populated with PEV chargers using Matlab/Simulink software.

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