DocumentCode :
3729597
Title :
A traffic flow based planning strategy for optimal siting and sizing of charging stations
Author :
Yue Xiang;Junyong Liu;Shuoya Tang;Hao Zhou;Songling Dai;Ting Li;Xiaoming Wang
Author_Institution :
School of Electrical Engineering and Information, Sichuan University, Chengdu, China
fYear :
2015
Firstpage :
1
Lastpage :
5
Abstract :
Planning and construction of charge stations are important aspects of promoting the development of electric vehicles (EVs). Integrated with the equilibrium traffic flow, a comprehensive optimization strategy aiming at achieving siting and sizing planning of charging stations on the road network is presented in this paper. The system optimization model is used for generating and assigning the equilibrium traffic flow in typical time periods based on the original-destination (OD) data. On this basis, queuing theory is used to deploy the capacity of each station in the alternative plan. Furthermore, an economic optimal planning model, including different types of cost functions, is proposed for the final decision, integrated with the proposed load capability constraint. Case studies have demonstrated the feasibility and effectiveness of the proposed planning strategy.
Keywords :
"Decision support systems","Power systems","Roads","Queueing analysis","Analytical models","Mathematical model","Indexes"
Publisher :
ieee
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2015 IEEE PES Asia-Pacific
Type :
conf
DOI :
10.1109/APPEEC.2015.7380895
Filename :
7380895
Link To Document :
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