• DocumentCode
    3384056
  • Title

    Controlled charging of electric vehicles in residential distribution networks

  • Author

    O´Connell, Alison ; Flynn, Damian ; Richardson, Paul ; Keane, Andrew

  • Author_Institution
    Sch. of Electr., Electron. & Commun. Eng., Univ. Coll. Dublin, Dublin, Ireland
  • fYear
    2012
  • fDate
    14-17 Oct. 2012
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    The integration of electric vehicles (EVs) poses potential issues for low voltage (LV) distribution networks, such as voltage deviations and overloading of equipment. Controlled EV charging is seen as one possibility for reducing, or even eliminating, these issues. This work presents an optimisation method which focuses on controlling the rate at which EVs charge over a 24-hour time horizon, subject to certain constraints. A sample distribution network is used and the optimisation tool is tested for multiple objective functions.
  • Keywords
    battery powered vehicles; distribution networks; optimisation; 24-hour time horizon; EV; LV distribution network; electric vehicle charging control; low voltage distribution networks; multiple objective functions; optimisation tool; residential distribution networks; sample distribution network; voltage deviations; Educational institutions; Linear programming; Load modeling; Optimization; Sensitivity; Voltage control; Wind forecasting; Electric Vehicle; Load Flow; Optimisation; Smart Grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies (ISGT Europe), 2012 3rd IEEE PES International Conference and Exhibition on
  • Conference_Location
    Berlin
  • ISSN
    2165-4816
  • Print_ISBN
    978-1-4673-2595-0
  • Electronic_ISBN
    2165-4816
  • Type

    conf

  • DOI
    10.1109/ISGTEurope.2012.6465676
  • Filename
    6465676