DocumentCode :
3733717
Title :
Optimal electric vehicle scheduling in smart home with V2H/V2G regulation
Author :
Dalong Guo;Peizhong Yi;Chi Zhou;Jia Wang
Author_Institution :
Electrical and Computer Engineering Department, Illinois Institute of Technology, Chicago, IL, USA
fYear :
2015
Firstpage :
1
Lastpage :
6
Abstract :
The popularity of electric vehicle (EV) provides both challenges and opportunities. Although EV increases the load pressure to the grid, it can also serve as the potential storage to facilitate the demand response for residential customers. In this paper, we propose an optimal and automatic scheduling scheme to exploit the benefits of EV not only from residential side but also from utility companies. Specifically we consider that the EVs can achieve a two-way discharging, either supply the power usage of its house (i.e., V2H) when the electric price is high or sell back to the Grid (i.e., V2G) if the market price is more attractive. The objective is to minimize the total cost, including electricity expenditure and storage depreciation cost, while satisfying various practical constraints. Simulation results show our proposed scheme can not only lower the cost but also share part of the pressure from utility companies.
Keywords :
"Smart homes","Batteries","Optimal scheduling","Load management","Electric vehicles","Companies"
Publisher :
ieee
Conference_Titel :
Smart Grid Technologies - Asia (ISGT ASIA), 2015 IEEE Innovative
Electronic_ISBN :
2378-8542
Type :
conf
DOI :
10.1109/ISGT-Asia.2015.7387135
Filename :
7387135
Link To Document :
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