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Direct Load Management of Electric Vehicles
Author:
Alizadeh, Mahnoosh; Scaglione, Anna; Thomas, Robert J.
Year:
2011
Abstract:

This paper appears in: Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Issue Date: 22-27 May 2011
On page(s): 5964 - 5967
Location: Prague, Czech Republic
ISSN: 1520-6149
E-ISBN: 978-1-4577-0537-3
Print ISBN: 978-1-4577-0538-0
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.

Document Type:
Technical paper
Source:
IEEE