• DocumentCode
    627687
  • Title

    Maximizing the penetration of plug-in electric vehicles in distribution network

  • Author

    Junhui Zhao ; Yang Wang ; Caisheng Wang ; Feng Lin ; Le Yi Wang

  • Author_Institution
    Wayne State Univ., Detroit, MI, USA
  • fYear
    2013
  • fDate
    16-19 June 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The increasing number of plug-in electric vehicles (PEVs) will post new challenges to the existing power grid, as they as a whole will become a substantially large load to the power grid when they are being charged. In this paper, an algorithm is proposed to maximize the injection of PEVs in distribution networks (DNs) without violating power limitations and causing voltage problems. This method is able to optimally calculate the maximum allowed numbers of PEVs in DNs based on the system parameters and load conditions. Voltage stability index, power supply limits, thermal line limits, and power balance equations are taken into account as the constraints of the optimization algorithm. This method is able to provide a clear reference to distribution network operators (DNO) to manage the charging of the PEVs in DNs.
  • Keywords
    distribution networks; electric vehicles; optimisation; power grids; voltage regulators; DN; PEV injection maximization; distribution network operators; load conditions; optimization algorithm; plug-in electric vehicle penetration maximization; power balance equations; power grid; power limitations; power supply limits; system parameters; thermal line limits; transportation electrification; voltage problems; voltage stability index; Circuit stability; Indexes; Optimization; Power system stability; Stability criteria; Thermal stability; Active Management; Distribution Network; Optimization; Plug-In Electric Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transportation Electrification Conference and Expo (ITEC), 2013 IEEE
  • Conference_Location
    Detroit, MI
  • Print_ISBN
    978-1-4799-0146-3
  • Type

    conf

  • DOI
    10.1109/ITEC.2013.6573509
  • Filename
    6573509