• DocumentCode
    2117044
  • Title

    Dynamic charging and discharging for electric vehicles in microgrids

  • Author

    Le, Tan N. ; Al-Rubaye, Saba ; Liang, Hao ; Choi, Bong Jun

  • Author_Institution
    Department of Computer Science, The State University of New York (SUNY) Korea, Korea
  • fYear
    2015
  • fDate
    8-12 June 2015
  • Firstpage
    2018
  • Lastpage
    2022
  • Abstract
    Electric vehicle (EV) charging and discharging management is an essential component of the smart grids, especially in microgrids due to the high dependence on the local energy sources. In order to provide EV users with freedom to charge and travel, we propose a dynamic scheduling algorithm that does not require EV users to inform their charging time to the control center. The proposed algorithm serves the charging requests from EVs in a best-effort manner while minimizing the energy cost of EV users and guaranteeing the grid related constraint of microgrid. Specifically, we formulate a stochastic optimization problem to minimize the energy cost of charging and discharging for each EV with respect to the same constraints of the proposed algorithm. The simulation results show that the proposed algorithm achieves energy cost better or close to that of the conventional methods without requiring the a-priori knowledge of load demand, renewable energy source (RES) output, and EV charging plans.
  • Keywords
    Batteries; Dynamic scheduling; Heuristic algorithms; Load modeling; Microgrids; Optimization; Smart grids;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Workshop (ICCW), 2015 IEEE International Conference on
  • Conference_Location
    London, United Kingdom
  • Type

    conf

  • DOI
    10.1109/ICCW.2015.7247477
  • Filename
    7247477