Title :
Optimized power trading of a PEV charging station with energy storage system
Author :
Tehrani, Nima H. ; Shrestha, G.B. ; Peng Wang
Author_Institution :
Div. of Power Eng., NTU, Singapore, Singapore
Abstract :
In this paper, we will characterize the operation of fast charging infrastructures equipped with renewable energy sources (RES) and energy storage to optimize the pattern of charging and selling power to the grid according to price variations to maximize the objective function that is benefit of participating in the electricity market. 2009 National Household Travel Survey (NHTS) data set has been utilized in several ways to probabilistically quantify the Plug-in Electric Vehicles´ (PEV) status in order to characterize their real-time mobility behavior. Analysis based on the level of forecast uncertainty is considered. The result shows the effectiveness of the optimization method.
Keywords :
battery chargers; battery storage plants; electric vehicles; energy storage; power markets; renewable energy sources; NHTS; National Household Travel Survey; PEV charging station; electricity market; energy storage system; fast charging infrastructures; plug-in electric vehicles; power trading; renewable energy sources; Electric vehicles; charging station; fast charging; optimization; power trading; renewable sources;
Conference_Titel :
IPEC, 2012 Conference on Power & Energy
Conference_Location :
Ho Chi Minh City
DOI :
10.1109/ASSCC.2012.6523283
