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

fYear

2012

fDate

12-14 Dec. 2012

Firstpage

305

Lastpage

310

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;

fLanguage

English

Publisher

ieee

Conference_Titel

IPEC, 2012 Conference on Power & Energy

Conference_Location

Ho Chi Minh City

Type

conf

DOI

10.1109/ASSCC.2012.6523283

Filename

6523283