DocumentCode
265618
Title
Scheduling protocol with load managementfor EV charging
Author
Said, Dhaou ; Cherkaoui, Soumaya ; Khoukhi, Lyes
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. de Sherbrooke, Sherbrooke, QC, Canada
fYear
2014
fDate
8-12 Dec. 2014
Firstpage
362
Lastpage
367
Abstract
In the next few years, as the number of EVs will become important, the smart grid will be solicited to satisfy high power demands. To deal with this problem, efficient power charge scheduling techniquesare required. In this paper, a scheduling protocol with a load management technique is introduced. The scheduling protocol is aimed first at minimizing peak loads due to multiple EVs charging at home while using pricing policies. Second, it aims at coordinating charging and discharging processes to achieve cost optimization and improve grid stability. An analytical formulation is given for the scheduling problem with a load management strategy. The simulation results showed the effectiveness of the proposed approach in minimizing peak loads, optimization cost and improving grid stability while satisfying the defined constraints.
Keywords
electric vehicles; load management; pricing; scheduling; EV charging; coordinating charging; cost optimization; discharging processes; grid stability; load management; optimization cost; pricing policies; scheduling protocol; Energy consumption; Load management; Load modeling; Power demand; Scheduling; Smart grids; Vehicles; EV; V2G; load management; scheduling; smart grid;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Communications Conference (GLOBECOM), 2014 IEEE
Conference_Location
Austin, TX
Type
conf
DOI
10.1109/GLOCOM.2014.7036835
Filename
7036835
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