DocumentCode :
3574755
Title :
Neighborhood level network aware electric vehicle charging management with mixed control strategy
Author :
Di Wu ; Haibo Zeng ; boulet, benoit
Author_Institution :
Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, QC, Canada
fYear :
2014
Firstpage :
1
Lastpage :
7
Abstract :
With the fast development of the electric vehicle (EV) technology and the pressing environment conditions. It is expected that EVs will grow rapidly in the near feature. However, the broad adoption of EVs will produce a high power demand on the power grid. Smart charging control of the EVs could help to relieve the possible negative influences on the power grid. Many researchers have investigated possible algorithms for EV charging control. Considering customers´ willingness, this paper proposes a mixed charging control framework. The proposed control framework is aimed to minimize the charging cost and satisfy the customers´ charging freedom requirements. A user satisfaction determining method is also proposed which can help to evaluate user satisfactions for different control algorithms. Within the proposed framework, both the benefits for the utility companies and the customers are considered. The optimization framework is evaluated with the data from a local utility company. Simulation results show the efficiency of the proposed framework. The framework can also be further used to evaluate the penetration for a certain neighborhood level network.
Keywords :
electric vehicles; power grids; secondary cells; charging cost; charging management; electric vehicle charging control; local utility company; mixed charging control framework; mixed control strategy; neighborhood level network aware electric vehicle; power grid; smart charging control; user satisfaction determining method; Aging; Electric vehicles; Equations; Load modeling; Mathematical model; Optimization; Power demand; Neighborhood level network; charging management; electric vehicle; mixed control; penetration level;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Vehicle Conference (IEVC), 2014 IEEE International
Type :
conf
DOI :
10.1109/IEVC.2014.7056207
Filename :
7056207
Link To Document :
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