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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/19693

Title: Relationship between spatio-temporal electricity costvariability and e-mobility
Authors: Usman, Muhammad
Fraile-Ardanuy, J.
Knapen, Luk
Yasar, Ansar
Bellemans, Tom
Janssens, Davy
Wets, Geert
Issue Date: 2015
Citation: Procedia Computer Science, p. 772-779
Series/Report: Procedia Computer Science
Series/Report no.: 52
Abstract: Charging cost of electric vehicles depends on the selection of the charging strategy when operating in a spatio-temporal electricity pricing market. In such scenario, selection of the charging strategy can be critical in order to keep the charging cost minimum. Furthermore, a coordination of charging strategies is required to prevent the electric grid from overloading during peak demand periods. Hence, a cost optimization model is implemented for individual travelers in a coordinated context. Individuals minimize their cost and are constrained by power delivery constraints in space and time. The charging strategy optimization applies to the scenario where the electric energy price varies with time and location. When all trips are fixed in time, interesting low cost charging time slots may be unavailable to a particular individual. Hence, in order to charge at such cheap moments, a shift in traveling moments is proposed in this work. Furthermore, a comparison between cost savings and the required agenda adaptations also is discussed in the paper.
URI: http://hdl.handle.net/1942/19693
DOI: 10.1016/j.procs.2015.05.132
ISSN: 1877-0509
Category: C1
Type: Proceedings Paper
Validation: vabb, 2017
Appears in Collections: Research publications

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