DocumentCode
2359981
Title
Stochastic charging management for plug-in electric vehicles in smart microgrids fueled by renewable energy sources
Author
Zhu, Li ; Yu, F. Richard ; Bin Ning ; Tao Tang
Author_Institution
Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, ON, Canada
fYear
2011
fDate
26-29 Sept. 2011
Firstpage
7
Lastpage
12
Abstract
Charging electric vehicles (EVs) from smart microgrids fueled by renewable energy resources is becoming a popular green approach. Although some works have been done about renewable energy sources and EVs in smart microgrids, the stochastic characteristics and the dynamic interplay between these two important green solutions should be carefully considered. Furthermore, one of the important performance metrics, service availability for EVs, is largely ignored in the existing works. In this paper, we study the charging policies in smart microgrids with EVs and renewable energy sources. We analyze service availability under different charging policies. Numerical results are presented to show the performance of different charging policies.
Keywords
distributed power generation; electric vehicles; renewable energy sources; smart power grids; stochastic processes; green approach; plug-in electric vehicles; renewable energy sources; smart microgrids; stochastic charging management; Equations; Green products; Vehicles; Electric vehicles; renewable energy; smart microgrids;
fLanguage
English
Publisher
ieee
Conference_Titel
Online Conference on Green Communications (GreenCom), 2011 IEEE
Conference_Location
New York, NY
Print_ISBN
978-1-4244-9518-4
Type
conf
DOI
10.1109/GreenCom.2011.6082526
Filename
6082526
Link To Document