DocumentCode
1766511
Title
Aggregation Model-Based Optimization for Electric Vehicle Charging Strategy
Author
Jinghong Zheng ; Xiaoyu Wang ; Kun Men ; Chun Zhu ; Shouzhen Zhu
Author_Institution
Dept. of Electr. Eng., Tsinghua Univ., Beijing, China
Volume
4
Issue
2
fYear
2013
fDate
41426
Firstpage
1058
Lastpage
1066
Abstract
This paper presents an aggregation charging model for large numbers of electric vehicles (EVs). A genetic algorithm (GA) is employed to obtain the stochastic feature parameters of the aggregation model, and a charging strategy based on the aggregation model is developed to reduce the power fluctuation level caused by EV charging. In addition, an updatable optimization method is proposed to track the variation of the EV charging characteristics. The proposed charging strategy and optimization method are validated by the simulation results.
Keywords
electric vehicles; genetic algorithms; stochastic processes; EV charging characteristics; GA; aggregation model-based optimization; electric vehicle charging strategy; genetic algorithm; power fluctuation level reduction; stochastic feature parameters; updatable optimization method; Batteries; Lithium; Load modeling; Optimization; Stochastic processes; System-on-chip; Vehicles; Aggregation model; electric vehicle; optimal charging; parameter estimation; stochastic distribution;
fLanguage
English
Journal_Title
Smart Grid, IEEE Transactions on
Publisher
ieee
ISSN
1949-3053
Type
jour
DOI
10.1109/TSG.2013.2242207
Filename
6484219
Link To Document