DocumentCode :
3665283
Title :
A hierarchical charging strategy for electric vehicles considering the users´ habits and intentions
Author :
Jia Ning; Yi Tang; Wenzhong Gao
Author_Institution :
School of Electrical Engineering, Southeast University, Nanjing, China
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
1
Lastpage :
5
Abstract :
With the rapid growth of electric vehicles (EVs), charging large-scale EVs will affect the security and economy of power system operation. When developing the charging strategy, not only technical and economic issues but also the patterns of EVs´ utilization should be considered. This paper presents a hierarchical charging strategy for EVs considering both system level and user level benefits, together with the travel habits and intentions of users. Firstly, a system level charging strategy is proposed as a multi-objective optimization problem, which can minimize the customers´ charging fees, reduce the peak-valley difference and smooth the load fluctuation. Then a distribution charging strategy of EVs at user level based on the users´ habits and intentions is presented, which aims for the minimization of each EV battery´s charging times based on historical travel miles and real-time State of Charge (SOC). Finally, a case study indicates the effectiveness of proposed methodology to meet the requirements of power system and users.
Keywords :
"System-on-chip","Optimization","Smart grids","Batteries","Economics","Power system stability","Fluctuations"
Publisher :
ieee
Conference_Titel :
Power & Energy Society General Meeting, 2015 IEEE
ISSN :
1932-5517
Type :
conf
DOI :
10.1109/PESGM.2015.7285726
Filename :
7285726
Link To Document :
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