DocumentCode :
30962
Title :
Electric Vehicle Charging Station Placement: Formulation, Complexity, and Solutions
Author :
Lam, Albert Y. S. ; Yiu-Wing Leung ; Xiaowen Chu
Author_Institution :
Dept. of Comput. Sci., Hong Kong Baptist Univ., Kowloon Tong, China
Volume :
5
Issue :
6
fYear :
2014
fDate :
Nov. 2014
Firstpage :
2846
Lastpage :
2856
Abstract :
To enhance environmental sustainability, many countries will electrify their transportation systems in their future smart city plans, so the number of electric vehicles (EVs) running in a city will grow significantly. There are many ways to recharge EVs´ batteries and charging stations will be considered as the main source of energy. The locations of charging stations are critical; they should not only be pervasive enough such that an EV anywhere can easily access a charging station within its driving range, but also widely spread so that EVs can cruise around the whole city upon being recharged. Based on these new perspectives, we formulate the EV charging station placement problem (EVCSPP) in this paper. We prove that the problem is nondeterministic polynomial-time hard. We also propose four solution methods to tackle EVCSPP, and evaluate their performance on various artificial and practical cases. As verified by the simulation results, the methods have their own characteristics and they are suitable for different situations depending on the requirements for solution quality, algorithmic efficiency, problem size, nature of the algorithm, and existence of system prerequisite.
Keywords :
battery powered vehicles; computational complexity; optimisation; power system planning; secondary cells; smart power grids; EV battery recharging; EV driving; EVCSPP; electric vehicle charging station placement problem; environmental sustainability; future smart city plans; nondeterministic polynomial time hard; transportation systems; Charging stations; Complexity theory; Electric vehicles; Mathematical model; Urban planning; Charging station; electric vehicle (EV); location; smart city planning;
fLanguage :
English
Journal_Title :
Smart Grid, IEEE Transactions on
Publisher :
ieee
ISSN :
1949-3053
Type :
jour
DOI :
10.1109/TSG.2014.2344684
Filename :
6879337
Link To Document :
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