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    Online Coordination of Plug-In Electric Vehicle Charging in Smart Grid with Distributed Wind Power Generation Systems

    Access Status
    Fulltext not available
    Authors
    Masoum, A.
    Deilami, Sara
    Masoum, Mohammad Sherkat
    Abu-Siada, Ahmed
    Islam, Syed
    Date
    2014
    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. 2014. Online Coordination of Plug-In Electric Vehicle Charging in Smart Grid with Distributed Wind Power Generation Systems, in IEEE Power & Energy Society General Meeting, Jul 27 2014. National Harbor, MD, USA: IEEE.
    Source Title
    PES General Meeting | Conference & Exposition, 2014 IEEE
    Source Conference
    2014 IEEE Power & Energy Society General Meeting
    DOI
    10.1109/PESGM.2014.6939133
    School
    Department of Electrical and Computer Engineering
    URI
    http://hdl.handle.net/20.500.11937/31415
    Collection
    • Curtin Research Publications
    Abstract

    Plug-in electric vehicles (PEVs) and wind distributed generations (WDGs) will represent key technologies in the future smart grid configurations. PEV charging at high penetration levels requires substantial grid energy that can be partially supplied by WDGs. This paper examines the impacts of WDGs on performance of recently implemented online maximum sensitivities selection based coordination algorithm (OL-MSSCA) for PEV charging. The algorithm considers random arrivals of vehicles and time-varying market energy price to reduce the total cost of energy generation for PEV charging and the associated grid losses while providing consumer priorities based on defined charging time zones. OL-MSSCA will be improved to also consider DGs while maintaining network operation criteria such as maximum generation limits and voltage profiles within their permissible limits. Detailed simulation is performed on the modified IEEE 23kV distribution system with three WDGs and 22 low voltage residential networks populated with PEVs. The main contributions of this paper are inclusion of WDGs in OL-MSSCA, as well as detailed investigations on the impacts of their peak generation times, penetrations and locations on the performance of smart grid populated with PEVs.

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