• DocumentCode
    3441589
  • Title

    Optimal decentralized protocol for electric vehicle charging

  • Author

    Gan, Lingwen ; Topcu, Ufuk ; Low, Steven

  • Author_Institution
    Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA, USA
  • fYear
    2011
  • fDate
    12-15 Dec. 2011
  • Firstpage
    5798
  • Lastpage
    5804
  • Abstract
    Motivated by the power-grid-side challenges in the integration of electric vehicles, we propose a decentralized protocol for negotiating day-ahead charging schedules for electric vehicles. The overall goal is to shift the load due to electric vehicles to fill the overnight electricity demand valley. In each iteration of the proposed protocol, electric vehicles choose their own charging profiles for the following day according to the price profile broadcast by the utility, and the utility updates the price profile to guide their behavior. This protocol is guaranteed to converge, irrespective of the specifications (e.g., maximum charging rate and deadline) of electric vehicles. At convergence, the l2 norm of the aggregated demand is minimized, and the aggregated demand profile is as “flat” as it can possibly be. The proposed protocol needs no coordination among the electric vehicles, hence requires low communication and computation capability. Simulation results demonstrate convergence to optimal collections of charging profiles within few iterations.
  • Keywords
    battery powered vehicles; iterative methods; power grids; protocols; scheduling; aggregated demand profile; day-ahead charging schedule; electric vehicle charging; l2 norm; optimal decentralized protocol; overnight electricity demand valley; power-grid-side; price profile broadcast; Algorithm design and analysis; Convergence; Electric vehicles; Electricity; Electronic mail; Protocols;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-61284-800-6
  • Electronic_ISBN
    0743-1546
  • Type

    conf

  • DOI
    10.1109/CDC.2011.6161220
  • Filename
    6161220