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    LTC and Switched Shunt Capacitor Scheduling in Smart Grid with Electric Vehicles and Wind Distributed Generation Systems

    226521.pdf (3.451Mb)
    Access Status
    Open access
    Authors
    Deilami, Sara
    Naghibi, Bahman
    Janfeshan, K.
    Date
    2014
    Type
    Conference Paper
    
    Metadata
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    Citation
    Deilami, S. and Naghibi, B. and Janfeshan, K. 2014. LTC and Switched Shunt Capacitor Scheduling in Smart Grid with Electric Vehicles and Wind Distributed Generation Systems, 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.2014.6966570
    School
    Department of Electrical and Computer Engineering
    URI
    http://hdl.handle.net/20.500.11937/21280
    Collection
    • Curtin Research Publications
    Abstract

    Future smart grids (SGs) are expected to include distributed generations (DG), plug-in electric vehicles (PEVs) and smart appliances, as well as nonlinear industrial loads that may decrease grid efficiency and deteriorate the quality of electric power. This paper performs optimal (load tap changer)LTC and switched shunt capacitor (SSC) in SGs with nonlinear loads, wind distributed generation (WDGs) systems and PEV charging at consumers’ premises and PEV charging stations (PEV-CSs). The substantial grid energy requirements at high PEV penetrations is assumed to be partially supplied by WDGs located within the distribution network. PEV charging is performed based on a recently proposed online maximum sensitivities selection based coordination algorithm (OL-MSSCA), nonlinear loads are assumed to inject low order odd current harmonics and WDGs are treated as negative PQ loads in the employed decoupled harmonic load flow (DHLF) algorithm. Simulations are performed for the modified IEEE 23kV distribution system with three WDGs, three PEV-CSs and 22 low voltage residential networks with PEVs. Impacts of PEV coordination and WDG on the LTC/SSC scheduling outcomes including grid losses, voltage profiles and THDs are investigated.

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