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    Predicting Voltage Unbalance Impacts of Plug-in Electric Vehicles Penetration in Residential Low-voltage Distribution Networks

    196087.pdf (712.6Kb)
    Access Status
    Open access
    Authors
    Shahnia, Farhad
    Ghosh, Arindam
    Ledwich, G.
    Zare, F.
    Date
    2013
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Shahnia, F. and Ghosh, A. and Ledwich, G. and Zare, F. 2013. Predicting Voltage Unbalance Impacts of Plug-in Electric Vehicles Penetration in Residential Low-voltage Distribution Networks. Electric Power Components and Systems. 41 (16): pp. 1594-1616.
    Source Title
    Electric Power Components and Systems
    DOI
    10.1080/15325008.2013.834004
    ISSN
    0731-356X
    School
    School of Electrical Engineering, Computing and Mathematics
    Remarks

    This is an Author's Accepted Manuscript of an article published in Electric Power Components and Systems, 2013, copyright Taylor & Francis, available online at: http://www.tandfonline.com/10.1080/15325008.2013.834004

    URI
    http://hdl.handle.net/20.500.11937/31622
    Collection
    • Curtin Research Publications
    Abstract

    Plug-in electric vehicles will soon be connected to residential distribution networks in high quantities and will add to already overburdened residential feeders. However, as battery technology improves, plug-in electric vehicles will also be able to support networks as small distributed generation units by transferring the energy stored in their battery into the grid. Even though the increase in the plug-in electric vehicle connection is gradual, their connection points and charging/discharging levels are random. Therefore, such single-phase bidirectional power flows can have an adverse effect on the voltage unbalance of a three-phase distribution network. In this article, a voltage unbalance sensitivity analysis based on charging/discharging levels and the connection point of plug-in electric vehicles in a residential low-voltage distribution network is presented. Due to the many uncertainties in plug-in electric vehicle ratings and connection points and the network load, a Monte Carlo-based stochastic analysis is developed to predict voltage unbalance in the network in the presence of plug-in electric vehicles. A failure index is introduced to demonstrate the probability of non-standard voltage unbalance in the network due to plug-in electric vehicles.

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