DocumentCode :
715119
Title :
Optimal renewable energy transfer via electrical vehicles
Author :
Arikan, Abdurrahman ; Ruofan Jin ; Bing Wang ; Song Han ; Pattipati, Krishna R. ; Ping Yi ; Ting Zhu
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of Connecticut, Storrs, CT, USA
fYear :
2015
fDate :
18-20 Feb. 2015
Firstpage :
1
Lastpage :
5
Abstract :
Using electrical vehicles (EV) in transportation systems is more cost effective and environmental friendly than using conventional vehicles. In addition, the energy storage capability and mobility of EVs provide a convenient way to transfer energy from renewable energy sources to locations that have no direct access to renewable energy. As an example, an EV can be charged by a renewable energy source and discharge energy at a charge station; other EVs passing by the charge station can get charged, and hence indirectly use the energy from the renewable energy source. In this paper, we investigate the optimal renewable energy transfer problem in a bus system. Specifically, the goal is to determine how much energy a bus should deposit or withdraw at a charge station so that the total amount of renewable energy used by the bus system is maximized. We formulate and solve the above optimization problem using linear programming. Simulation results using the Manhattan city bus system demonstrate that our approach significantly outperforms a baseline scheme and provides an effective way for distributing renewable energy in bus systems.
Keywords :
automotive electrics; battery powered vehicles; linear programming; renewable energy sources; Manhattan city bus system; discharge energy; electrical vehicles; energy storage capability; linear programming; optimal renewable energy transfer; optimization problem; transportation systems; Batteries; Cities and towns; Discharges (electric); Energy exchange; Optimization; Renewable energy sources; Schedules;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Smart Grid Technologies Conference (ISGT), 2015 IEEE Power & Energy Society
Conference_Location :
Washington, DC
Type :
conf
DOI :
10.1109/ISGT.2015.7131839
Filename :
7131839
Link To Document :
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