DocumentCode :
1278803
Title :
Spatial and Temporal Model of Electric Vehicle Charging Demand
Author :
Bae, Sungwoo ; Kwasinski, Alexis
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Texas, Austin, TX, USA
Volume :
3
Issue :
1
fYear :
2012
fDate :
3/1/2012 12:00:00 AM
Firstpage :
394
Lastpage :
403
Abstract :
This paper presents a spatial and temporal model of electric vehicle charging demand for a rapid charging station located near a highway exit. Most previous studies have assumed a fixed charging location and fixed charging time during the off-peak hours for anticipating electric vehicle charging demand. Some other studies have based on limited charging scenarios at typical locations instead of a mathematical model. Therefore, from a distribution system perspective, electric vehicle charging demand is still unidentified quantity which may vary by space and time. In this context, this study proposes a mathematical model of electric vehicle charging demand for a rapid charging station. The mathematical model is based on the fluid dynamic traffic model and the M/M/s queueing theory. Firstly, the arrival rate of discharged vehicles at a charging station is predicted by the fluid dynamic model. Then, charging demand is forecasted by the M/M/s queueing theory with the arrival rate of discharged vehicles. This mathematical model of charging demand may allow grid´s distribution planners to anticipate a charging demand profile at a charging station. A numerical example shows that the proposed model is able to capture the spatial and temporal dynamics of charging demand in a highway charging station.
Keywords :
battery powered vehicles; power distribution planning; queueing theory; M-M-s queueing theory; distribution planning approach; distribution system; electric vehicle charging demand; fluid dynamic traffic model; highway charging station; mathematical model; rapid charging station; spatial model; temporal model; Batteries; Equations; Mathematical model; Numerical models; Queueing analysis; Road transportation; Vehicles; Charging demand; Poisson processes; charging station; electric vehicle; energy management; modeling; planning; power demand; power distribution planning; spatial and temporal model;
fLanguage :
English
Journal_Title :
Smart Grid, IEEE Transactions on
Publisher :
ieee
ISSN :
1949-3053
Type :
jour
DOI :
10.1109/TSG.2011.2159278
Filename :
5959242
Link To Document :
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