• DocumentCode
    1507421
  • Title

    Electrical Vehicles in the Smart Grid: A Mean Field Game Analysis

  • Author

    Couillet, Romain ; Perlaza, Samir M. ; Tembine, Hamidou ; Debbah, Mérouane

  • Author_Institution
    SUPELEC, Gif-sur-Yvette, France
  • Volume
    30
  • Issue
    6
  • fYear
    2012
  • fDate
    7/1/2012 12:00:00 AM
  • Firstpage
    1086
  • Lastpage
    1096
  • Abstract
    In this article, we investigate the competitive interaction between electrical vehicles or hybrid oil-electricity vehicles in a Cournot market consisting of electricity transactions to or from an underlying electricity distribution network. We provide a mean field game formulation for this competition, and introduce the set of fundamental differential equations ruling the behavior of the vehicles at the feedback Nash equilibrium, referred here to as the mean field equilibrium. This framework allows for a consistent analysis of the evolution of the price of electricity as well as of the instantaneous electricity demand in the power grid. Simulations precisely quantify those parameters and suggest that significant reduction of the daily electricity peak demand can be achieved by appropriate electricity pricing.
  • Keywords
    differential equations; game theory; hybrid electric vehicles; power distribution economics; power markets; smart power grids; Cournot market; electrical vehicles; electricity distribution network; electricity pricing; feedback Nash equilibrium; fundamental differential equation ruling; hybrid oil-electricity vehicles; instantaneous electricity demand; mean field equilibrium; mean field game analysis; smart power grid; Batteries; Cost function; Electricity; Equations; Games; Trajectory; Vehicles; Electrical Vehicles; Game Theory; Mean Field Equilibrium; Smart Grids; large populations;
  • fLanguage
    English
  • Journal_Title
    Selected Areas in Communications, IEEE Journal on
  • Publisher
    ieee
  • ISSN
    0733-8716
  • Type

    jour

  • DOI
    10.1109/JSAC.2012.120707
  • Filename
    6194233