• DocumentCode
    265618
  • Title

    Scheduling protocol with load managementfor EV charging

  • Author

    Said, Dhaou ; Cherkaoui, Soumaya ; Khoukhi, Lyes

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. de Sherbrooke, Sherbrooke, QC, Canada
  • fYear
    2014
  • fDate
    8-12 Dec. 2014
  • Firstpage
    362
  • Lastpage
    367
  • Abstract
    In the next few years, as the number of EVs will become important, the smart grid will be solicited to satisfy high power demands. To deal with this problem, efficient power charge scheduling techniquesare required. In this paper, a scheduling protocol with a load management technique is introduced. The scheduling protocol is aimed first at minimizing peak loads due to multiple EVs charging at home while using pricing policies. Second, it aims at coordinating charging and discharging processes to achieve cost optimization and improve grid stability. An analytical formulation is given for the scheduling problem with a load management strategy. The simulation results showed the effectiveness of the proposed approach in minimizing peak loads, optimization cost and improving grid stability while satisfying the defined constraints.
  • Keywords
    electric vehicles; load management; pricing; scheduling; EV charging; coordinating charging; cost optimization; discharging processes; grid stability; load management; optimization cost; pricing policies; scheduling protocol; Energy consumption; Load management; Load modeling; Power demand; Scheduling; Smart grids; Vehicles; EV; V2G; load management; scheduling; smart grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Communications Conference (GLOBECOM), 2014 IEEE
  • Conference_Location
    Austin, TX
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2014.7036835
  • Filename
    7036835