DocumentCode :
3665632
Title :
Real-time scheduling of electric vehicles for ancillary services
Author :
Frederik Juul;Matias Negrete-Pincetic;Jason MacDonald;Duncan Callaway
Author_Institution :
Energy Resources Group at the University of California, Berkeley, USA
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
1
Lastpage :
5
Abstract :
This work is part of a project that aims to demonstrate the concept of Vehicle-to-Grid (V2G) with an operational fleet. A fleet of electric vehicles is operated with the objective of providing regulation services to the grid. The focus of this paper is on the real-time operation of the fleet. Specifically, given an optimal trajectory for the vehicle state of charge, schemes for distributing the regulation power commands among the vehicles are tested. A scheme based on a convex optimization problem is proposed. Several numerical illustrations and simulations show the effectiveness of the scheme respect to common scheduling heuristics in terms of accuracy.
Keywords :
"Vehicles","Trajectory","Real-time systems","Batteries","Frequency control","Accuracy","Automatic generation control"
Publisher :
ieee
Conference_Titel :
Power & Energy Society General Meeting, 2015 IEEE
ISSN :
1932-5517
Type :
conf
DOI :
10.1109/PESGM.2015.7286093
Filename :
7286093
Link To Document :
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