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
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;
Conference_Titel :
Innovative Smart Grid Technologies (ISGT), 2012 IEEE PES
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4577-2158-8
DOI :
10.1109/ISGT.2012.6175791