The server is under maintenance between 08:00 to 12:00 (GMT+08:00), and please visit later.
We apologize for any inconvenience caused
Login  | Sign Up  |  Oriprobe Inc. Feed
China/Asia On Demand
Journal Articles
Laws/Policies/Regulations
Companies/Products
Bookmark and Share
Price Control for Electric Vehicle Charging in Smart Grid: Adaptive Dynamic Programming Approach
Author(s): 
Pages: 636-640
Year: Issue:  4
Journal: Journal of University of Electronic Science and Technology of China

Keyword:  adaptive dynamic programmingelectric vehicleprice controlsmart grid;
Abstract: With the rapid growing of electric vehicles(EVs), it is necessary to implement the charging control for huge number of EVs to ensure the reliability of smart grid. In this paper, a strategy of price control is proposed for EV charging. The aggregator manages EV batteries centrally and controls the EV charging demand through price. EV users change their charging demand based on the price information. However, the EV mobility is unknown in advance, which causes the inaccurate prediction of EV state and impacts the performance of price control. Thus, adaptive dynamic programming(ADP) is leveraged to achieve the optimal price policy by using online network training. Simulation results show that the proposed method is able to tune the EV charging demand close to the expected level by learning from the EV charging process and the EV mobility, which ensures the smart grid runs steadily.
Related Articles
No related articles found