• DocumentCode
    232432
  • Title

    Model design and realization of multi-EVSE-level electric vehicle recharging station

  • Author

    Li Yan ; Wang Jin-kuan ; Han Peng ; Han Ying-hua

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
  • fYear
    2014
  • fDate
    28-30 July 2014
  • Firstpage
    6180
  • Lastpage
    6184
  • Abstract
    Based on the EV possession, EV customer requirements, recharging-station scales, service levels, etc., this paper constructs a high-adaptive EV recharging station model, and then builds an impact model of recharging station control method to the grid load. Simulation denotes this model can well reflect the EV recharging demand, recharging station service ability, and operation process of a certain area, moreover, it can reveal the different service level recharging strategies´ influence to the distribution grid. The proposed model is beneficial for providing improved service to the EV customers with different requirements, getting a precise assessment to the recharging station construction in areas with different EV possession ratios, and also assisting the decision making of recharging station scheduling optimization.
  • Keywords
    decision making; electric vehicles; power grids; scheduling; EV customer requirements; EV possession; EV recharging demand; decision making; distribution grid; grid load; high-adaptive EV recharging station model; model design; multiEVSE-level electric vehicle recharging station; recharging station construction; recharging station control method; recharging station scheduling optimization; recharging station service ability; recharging strategies; recharging-station scales; Analytical models; Batteries; Charging stations; Electric vehicles; Load modeling; Monitoring; Smart grids; EV; Load Control; Modelling Technology; Recharging Station;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2014 33rd Chinese
  • Conference_Location
    Nanjing
  • Type

    conf

  • DOI
    10.1109/ChiCC.2014.6896002
  • Filename
    6896002