• DocumentCode
    1698598
  • Title

    Optimization of electric vehicle charging capacity in a parking lot for reducing peak and filling valley in power grid

  • Author

    Dai MengTing ; Zheng JingHong ; Zhang Man ; Wang WenZhuo

  • Author_Institution
    Dept. of Electr. Eng., Tsinghua Univ., Beijing, China
  • Volume
    2
  • fYear
    2011
  • Firstpage
    1501
  • Lastpage
    1506
  • Abstract
    The cluster effect of charging load characteristics of the large-number of EVs will put forward a new requirement on the power supply of distribution system. Based on the power load model of single EV charger in consideration of batteries SOC, the normal distribution of initial SOC and Poisson distribution of the time vehicles arrived, a charging station model for the cluster effect of EVs is presented to analyze the load demand in a parking lot in a day. Then an optimization strategy of vehicles charged orderly is proposed. By Monte Carlo simulation, it is verified that the proposed strategy could help on reducing peak and filling valley while meeting EVs users´ charging demand.
  • Keywords
    Monte Carlo methods; Poisson distribution; battery chargers; battery powered vehicles; distribution networks; load (electric); optimisation; Monte Carlo simulation; Poisson distribution; cluster effect; distribution system power supply; electric vehicle charging capacity; parking lot; power grid; power load model; state of charge; Batteries; Fluctuations; Load modeling; Monte Carlo methods; Optimization; System-on-a-chip; Vehicles; Monte Carlo simulation; Poisson process; electric vehicle (EV); load model; optimization; power demand; state-of-charge (SOC);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Power System Automation and Protection (APAP), 2011 International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-9622-8
  • Type

    conf

  • DOI
    10.1109/APAP.2011.6180604
  • Filename
    6180604