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Content Provider | IEEE Xplore Digital Library |
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Author | Shaoyun Ge Liang Feng Hong Liu |
Copyright Year | 2011 |
Description | Author affiliation: School of Electrical Engineering & Automation, Tianjin University, Tianjin, China (Shaoyun Ge; Liang Feng; Hong Liu) |
Abstract | The paper proposed a method of locating and sizing of charging station for electric vehicle based on grid partition. This method is aimed at minimizing the users' loss on the way to the charging station, zoning the planning area with grid partition method, and choosing the best location of each partition in GA (Genetic Algorithm) on the consideration of traffic density and charging station's capacity constraints. Through repeated calculations and adjusting the coverage of each partition and the sites of charging stations, this paper will finally get the reasonable planning of electric vehicle charging station in the whole area. The practical example proves that the methods and models in this paper are feasible. |
Starting Page | 2726 |
Ending Page | 2730 |
File Size | 302992 |
Page Count | 5 |
File Format | |
ISBN | 9781424481620 |
e-ISBN | 9781424481651 |
DOI | 10.1109/ICECENG.2011.6057636 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2011-09-16 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Planning of charging station Roads Genetic algorithm Grid partition method Electric vehicles Electric vehicle Planning Mathematical model Equations Genetic algorithms Capacity planning |
Content Type | Text |
Resource Type | Article |
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