DocumentCode :
692341
Title :
VANET based online charging strategy for electric vehicles
Author :
Miao Wang ; Hao Liang ; Ruilong Deng ; Ran Zhang ; Shen, Xuemin Sherman
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
fYear :
2013
fDate :
9-13 Dec. 2013
Firstpage :
4804
Lastpage :
4809
Abstract :
An online charging strategy is an efficient approach to provide charging plans for electric vehicles (EVs) from a global point of view, aiming to improve energy efficiency while avoiding overloading of an electric power system. However, designing an efficient online charging strategy to achieve optimal energy utilization remains a challenging problem, especially when the coordinated behaviors of both EVs and charging stations are taken into consideration. In this paper, we first introduce an intelligent power distribution system which utilizes vehicular ad-hoc networks (VANETs) to enable communication among EVs on roads, road-side units (RSUs), and a vehicle-traffic server. Then, we propose a globally optimal online EV charging strategy, which not only improves energy utilization of the whole system but also prevents charging stations from overloading, which may cause a voltage drop in the power distribution system. Lagrange duality optimization techniques are exploited to address the associated optimal EV charging problem. The performance of our proposed strategy is evaluated by extensive simulations, and the results are compared with that of the traditional autonomous offline charging strategy.
Keywords :
distribution networks; duality (mathematics); electric vehicles; optimisation; vehicular ad hoc networks; Lagrange duality optimization techniques; RSU; VANET; charging stations; electric power system; electric vehicles; globally optimal online EV charging strategy; intelligent power distribution system; online charging strategy; optimal EV charging problem; optimal energy utilization; road-side units; vehicle-traffic server; vehicular ad-hoc networks; Batteries; Charging stations; Loading; Power distribution; Servers; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Communications Conference (GLOBECOM), 2013 IEEE
Conference_Location :
Atlanta, GA
Type :
conf
DOI :
10.1109/GLOCOMW.2013.6855711
Filename :
6855711
Link To Document :
بازگشت