DocumentCode :
1631687
Title :
Research on architecture of ITS based Smart Charging Guide System
Author :
Guo, Qinglai ; Wang, Yao ; Sun, Hongbin ; Li, Zhengshuo ; Zhang, Boming
Author_Institution :
Dept. of Electr. Eng., Tsinghua Univ., Beijing, China
fYear :
2011
Firstpage :
1
Lastpage :
5
Abstract :
Nowadays, environmental-friendly electric vehicles (EVs) attract great attention around the world. However, the adoption of EVs will impact the power system greatly. Different from previous work which concentrated on “when to charge”, research on “where to charge” to minimize the impacts on power grid is presented based on the interaction with Intelligent Transportation System (ITS). With the transportation information from ITS, a Smart Charging Guide System (SCGS) is designed in this paper. Architecture based on interaction between TCC (Traffic Control Center) and PSCC (Power System Control Center) is presented with the following three functions. Firstly, initial routes navigating to destination are selected with necessary charging stations. Secondly, load forecasting is carried out to determine the future power demands on different charging stations. Finally, based on the forecasted load, security evaluation on power system is adopted to produce a security index (SI). The SI will be used to revise the traffic distance to an electrical distance, which involves the contribution to power system operation. Two typical simulation cases are presented to explain the ideas of SCGS and further research prospects are discussed.
Keywords :
electric vehicles; load forecasting; power grids; power system control; power system security; traffic control; traffic engineering computing; transportation; ITS architecture; PSCC; SCGS; TCC; charging station; electrical distance; environmental-friendly electric vehicle; intelligent transportation system; load forecasting; power grid; power system control center; power system operation; power system security evaluation; security index; smart charging guide system; traffic control center; traffic distance; transportation information; Educational institutions; Electrical engineering; Load forecasting; Security; Silicon; Vehicles; Electric Vehicle; Intelligent Transportation System; Power System; Security Analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting, 2011 IEEE
Conference_Location :
San Diego, CA
ISSN :
1944-9925
Print_ISBN :
978-1-4577-1000-1
Electronic_ISBN :
1944-9925
Type :
conf
DOI :
10.1109/PES.2011.6039613
Filename :
6039613
Link To Document :
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