DocumentCode :
2183215
Title :
Direct load management of electric vehicles
Author :
Alizadeh, Mahnoosh ; Scaglione, Anna ; Thomas, Robert J.
Author_Institution :
Univ. of California, Davis, CA, USA
fYear :
2011
fDate :
22-27 May 2011
Firstpage :
5964
Lastpage :
5967
Abstract :
Electrical Vehicles are gaining increasing attention, due to the opportunities and challenges they present for the energy market. On the one hand, they will allow to drastically reduce the need for oil; on the other hand they may require a significant shift in the day to day management of the electricity generation. This paper is concerned with finding appropriate models for residential load in light of a widespread penetration of electric vehicles. The analysis is aimed at finding a SmartGrid solution that would enable us to optimize the generation dispatch in real time and allow to plug cars in any SmartGrid enabled plug. The key idea is to discriminate between regular load and the load due to the EVs, gathering in real time aggregate information about the sensed EV arrivals and their associated charging times in a demand matrix, that can be readily used to optimize the dispatch, while updating without real time constraints the billing record for the EV.
Keywords :
electric vehicles; load management; power generation dispatch; power markets; smart power grids; billing record; demand matrix; direct load management; electric vehicle; electricity generation management; energy market; generation dispatch; real time aggregate information; residential load; smart grid; widespread penetration; Electric vehicles; Load forecasting; Load modeling; Mobile communication; Predictive models; Real time systems; Communication; Direct Load Control; Electric Vehicles; Load Forecast; Optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location :
Prague
ISSN :
1520-6149
Print_ISBN :
978-1-4577-0538-0
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2011.5947720
Filename :
5947720
Link To Document :
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