Paper Info
Title
Vehicle-to-Aggregator Interaction Game
Abstract
Electric vehicles (EVs) are likely to become very popular worldwide within the next few years. With possibly millions of such vehicles operating across the country, one can establish a distributed electricity storage system that comprises of the EVs' batteries with a huge total storage capacity. This can help the power grid by providing various ancillary services, once an effective vehicle-to-grid (V2G) market is established. In this paper, we propose a new game-theoretic model to understand the interactions among EVs and aggregators in a V2G market, where EVs participate in providing frequency regulation service to the grid. We develop a smart pricing policy and design a mechanism to achieve optimal frequency regulation performance in a distributed fashion. Simulation results show that our proposed pricing model and designed mechanism work well and can benefit both EVs (in terms of obtaining additional income) and the grid (in terms of achieving the frequency regulation command signal).
Year
DOI
Venue
2012
10.1109/TSG.2011.2166414
IEEE Trans. Smart Grid
Keywords
Field
DocType
vehicle-to-aggregator interaction game,pricing model,frequency control,game-theoretic model,frequency regulation,nash equilibrium,vehicle-to-grid market,ancillary service,optimal frequency regulation,frequency regulation service,smart pricing policy,aggregator,game theory,optimization,smart grid,power grids,electric vehicle,power markets,distributed electricity storage system,total storage capacity,v2g market,electric vehicles,power grid,energy states,pricing,games,storage system
Energy storage,Smart grid,News aggregator,Electric vehicle,Simulation,Control engineering,Automatic frequency control,Game theory,Engineering,Nash equilibrium,Grid,Distributed computing
Journal
Volume
Issue
ISSN
3
1
1949-3053
Citations 
PageRank 
References 
21
1.31
0
Authors
3
Name
Order
Citations
PageRank
Chenye Wu116718.21
Amir Hamed Mohsenian Rad21681159.83
Jianwei Huang33643260.73