DocumentCode
1980518
Title
An energy efficient solution: Integrating Plug-In Hybrid Electric Vehicle in smart grid with renewable energy
Author
Li, Yifan ; Kaewpuang, Rakpong ; Wang, Ping ; Niyato, Dusit ; Han, Zhu
Author_Institution
Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore
fYear
2012
fDate
25-30 March 2012
Firstpage
73
Lastpage
78
Abstract
Nowadays, there is a conflict between the rapidly increasing demand for electricity and the requirement for reducing dependence on fossil fuel to decrease the greenhouse gas emissions. Proper utilization of renewable energy such as wind energy is proposed as an efficient solution to address this problem. However, due to the high inter-temporal variation and limited predictability, it is difficult to make full use of renewable energy as supplement to the conventional thermal power plants in smart grid. In this paper, we provide an energy efficient solution to solve this problem: the integration of Pug-In-Hybrid Electric Vehicle (PHEV). Through proper charging and discharging processes, the PHEV fleet can act as energy storage when there is excess renewable energy, while in case of energy shortage, the energy can be properly returned to the grid. Optimization models based on stochastic programming are developed for both the cases without PHEV fleet and with PHEV fleet, while various uncertainties such as power price, renewable power and user demand are taken into account. By solving the two stochastic programming problems, the optimal power management solutions are obtained, and the numerical results show that the integration of PHEV can effectively reduce the energy to be generated by conventional thermal power plants, and as a result, the overall energy generation cost can be significantly reduced.
Keywords
air pollution control; fossil fuels; hybrid electric vehicles; power generation economics; smart power grids; stochastic programming; thermal power stations; wind power; PHEV fleet; charging process; discharging process; electricity demand; energy efficient solution; energy generation cost; energy shortage; energy storage; fossil fuel; greenhouse gas emissions; high intertemporal variation; optimal power management solutions; plug-in hybrid electric vehicle; renewable energy; smart grid; stochastic programming-based optimization models; thermal power plants; wind energy; Batteries; Generators; Programming; Renewable energy resources; Wind energy; Wind power generation;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Communications Workshops (INFOCOM WKSHPS), 2012 IEEE Conference on
Conference_Location
Orlando, FL
Print_ISBN
978-1-4673-1016-1
Type
conf
DOI
10.1109/INFCOMW.2012.6193522
Filename
6193522
Link To Document