• DocumentCode
    1360143
  • Title

    The Impact of Charging Plug-In Hybrid Electric Vehicles on a Residential Distribution Grid

  • Author

    Clement-Nyns, Kristien ; Haesen, Edwin ; Driesen, Johan

  • Author_Institution
    Dept. of Electr. Eng., Katholieke Univ. Leuven, Leuven, Belgium
  • Volume
    25
  • Issue
    1
  • fYear
    2010
  • Firstpage
    371
  • Lastpage
    380
  • Abstract
    Alternative vehicles, such as plug-in hybrid electric vehicles, are becoming more popular. The batteries of these plug-in hybrid electric vehicles are to be charged at home from a standard outlet or on a corporate car park. These extra electrical loads have an impact on the distribution grid which is analyzed in terms of power losses and voltage deviations. Without coordination of the charging, the vehicles are charged instantaneously when they are plugged in or after a fixed start delay. This uncoordinated power consumption on a local scale can lead to grid problems. Therefore, coordinated charging is proposed to minimize the power losses and to maximize the main grid load factor. The optimal charging profile of the plug-in hybrid electric vehicles is computed by minimizing the power losses. As the exact forecasting of household loads is not possible, stochastic programming is introduced. Two main techniques are analyzed: quadratic and dynamic programming.
  • Keywords
    distribution networks; dynamic programming; hybrid electric vehicles; power grids; quadratic programming; stochastic programming; coordinated charging; corporate car park; dynamic programming; grid load factor; plug-in hybrid electric vehicles; quadratic programming; residential distribution grid; stochastic programming; voltage deviations; Coordinated charging; distribution grid; dynamic programming; plug-in hybrid electric vehicles; quadratic programming;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2009.2036481
  • Filename
    5356176