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    Overnight coordinated charging of plug-in electric vehicles based on maximum sensitivities selections

    Access Status
    Fulltext not available
    Authors
    Masoum, Amir
    Deilami, Sara
    Masoum, Mohammad Sherkat
    Abu-Siada, Ahmed
    Islam, Syed
    Date
    2015
    Type
    Conference Paper
    
    Metadata
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    Citation
    Masoum, A. and Deilami, S. and Masoum, M.S. and Abu-Siada, A. and Islam, S. 2015. Overnight coordinated charging of plug-in electric vehicles based on maximum sensitivities selections, in Deng, W. (ed), 2014 AASRI International Conference on Applied Engineering Sciences (ICAES 2014), Jul 23-24 2014, pp. 65-70. Los Angeles, USA: CRC Press.
    Source Title
    Applied Engineering Sciences
    Source Conference
    2014 AASRI International Conference on Applied Engineering Sciences (ICAES 2014)
    ISBN
    978-1-138-02649-0
    School
    Department of Electrical and Computer Engineering
    URI
    http://hdl.handle.net/20.500.11937/42112
    Collection
    • Curtin Research Publications
    Abstract

    The future smart grid (SG) will be populated with high penetrations of plug-in electric vehicles (PEVs) that may deteriorate the quality of electric power. The consumers will also be seeking economical options to charge their vehicles. This paper proposes an overnight maximum sensitivities selection based coordination algorithm (ON-MSSCA) for inexpensive overnight PEV charging in SG. The approach is based on a recently implemented online algorithm (OL-MSSCA) that charges the vehicles as soon as they are randomly plugged-in while considering SG generation, demand and voltage constraints. In contrast to the online approach, ON-MSSCA relies on inexpensive off-peak load hours charging to reduce the cost of generating energy such that SG constraints are not violated and all vehicles are fully charged overnight. Performances of the online and overnight algorithms are compared for the modified IEEE 23kV distribution system with low voltage residential feeders populated with PEVs.

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