• DocumentCode
    1645092
  • Title

    Charging station selection optimization for plug-in electric vehicles: An oligopolistic game-theoretic framework

  • Author

    Escudero-Garzás, J. Joaquín ; Seco-Granados, Gonzalo

  • Author_Institution
    Group of Signal Process. for Commun. & Navig. Group (SPCOMNAV), Univ. Autonoma de Barcelona, Bellaterra, Spain
  • fYear
    2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    In this paper, we describe a framework for the selection of the best charging station when plug-in electric vehicles (PEV) need to recharge their batteries, while at the same time the power utilities, which own the charging stations (CS), optimize their revenue. We use two-way communication to transmit positioning information, which is a key factor so that the plug-in electric vehicles evaluate its required energy. Within this framework, we also describe a procedure that is implemented in a distributed manner and is based on a non-cooperative oligopoly game that makes use of differentiated products theory and conjectural variations to provide a Nash equilibrium in prices and quantities.
  • Keywords
    battery powered vehicles; game theory; oligopoly; Nash equilibrium; battery recharge; charging station selection optimization; differentiated products theory; noncooperative oligopolistic game-theoretic framework; plug-in electric vehicles; positioning information transmission; power utilities; two-way communication; Batteries; Cascading style sheets; Companies; Electric vehicles; Games; Generators; Oligopoly; Battery recharge; conjectural variations; game theory; oligopoly; plug-in electric vehicle;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies (ISGT), 2012 IEEE PES
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-1-4577-2158-8
  • Type

    conf

  • DOI
    10.1109/ISGT.2012.6175791
  • Filename
    6175791