• DocumentCode
    2613287
  • Title

    Optimal Charging Control for Electric Vehicles in Smart Microgrids with Renewable Energy Sources

  • Author

    Zhu, Li ; Yu, F. Richard ; Ning, Bin ; Tang, Tao

  • Author_Institution
    State Key Lab. of Rail Traffic Control & Safety, Beijing Jiaotong Univ., Beijing, China
  • fYear
    2012
  • fDate
    6-9 May 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    There is growing interest in plug-in electric vehicles (EVs). Charging EVs from smart microgrids fueled by renewable energy resources is becoming a popular green approach. Although some works have been done about renewable energy sources and EVs in smart microgrids, the stochastic characteristics and the dynamic interplay between these two important green solutions should be carefully considered. In this paper, we study the charging policies in smart microgrids with EVs and renewable energy sources. Based on the renewable energy sources states, battery states, and the number of charging EVs, an optimal charging policy is obtained to maximize the energy utilization with service availability constraints. We formulate the optimal charging problem as a stochastic decision process. Simulation results are presented to show that the proposed scheme can improve the service availability for EVs in microgrids fueled by renewable energy sources.
  • Keywords
    battery management systems; battery powered vehicles; distributed power generation; hybrid electric vehicles; optimal control; renewable energy sources; smart power grids; stochastic processes; EV; battery state; energy utilization; green approach; optimal charging control; plug-in electric vehicle; renewable energy resource; service availability constraints; smart microgrid; stochastic decision process; Batteries; Photovoltaic systems; Renewable energy resources; Smart grids; Solar radiation; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference (VTC Spring), 2012 IEEE 75th
  • Conference_Location
    Yokohama
  • ISSN
    1550-2252
  • Print_ISBN
    978-1-4673-0989-9
  • Electronic_ISBN
    1550-2252
  • Type

    conf

  • DOI
    10.1109/VETECS.2012.6240169
  • Filename
    6240169