Title :
A semi-distributed V2V fast charging strategy based on price control
Author :
Miao Wang ; Ismail, Muhammad ; Ran Zhang ; Xuemin Shen ; Serpedin, Erchin ; Qaraqe, Khalid
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
Abstract :
A vehicle-to-vehicle (V2V) (dis)charging strategy can provide charging plans for gridable electric vehicles (GEVs), aiming to offload the heavy power loads from the electric power system. However, designing an efficient online V2V (dis)charging strategy to achieve optimal energy utilization is still an open issue. In this paper, we propose a semi-distributed online V2V (dis)charging strategy at a swapping station based on price control. Specifically, based on the electricity price control strategy, GEVs are motivated to contribute to a V2V energy transaction due to expected high revenue for discharging GEVs and low cost for charging GEVs. The Oligopoly game and Lagrange duality optimization techniques are exploited to address the associated optimal V2V (dis)charging strategies. Simulation results are presented to demonstrate the performance of the proposed V2V (dis)charging strategy.
Keywords :
cost reduction; electric vehicles; game theory; oligopoly; GEV; Lagrange duality optimization techniques; V2V energy transaction; electric power system; electricity price control strategy; gridable electric vehicles; heavy power loads; oligopoly game; semidistributed V2V fast charging strategy; swapping station; vehicle-to-vehicle charging strategy; Batteries; Decision making; Electricity; Oligopoly; Partial discharges; Vehicles; Wireless communication;
Conference_Titel :
Global Communications Conference (GLOBECOM), 2014 IEEE
Conference_Location :
Austin, TX
DOI :
10.1109/GLOCOM.2014.7037525
