Name
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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/GLOCOM.2014.7036835 | Global Communications Conference |
Keywords | Field | DocType |
electric vehicles,load management,pricing,scheduling,EV charging,coordinating charging,cost optimization,discharging processes,grid stability,load management,optimization cost,pricing policies,scheduling protocol,EV,V2G,load management,scheduling,smart grid | Load management,Job shop scheduling,Fair-share scheduling,Smart grid,Load balancing (electrical power),Computer science,Scheduling (computing),Real-time computing,Dynamic priority scheduling,Grid | Conference |
ISSN | Citations | PageRank |
2334-0983 | 0 | 0.34 |
References | Authors | |
7 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dhaou Said | 1 | 17 | 2.00 |
| Soumaya Cherkaoui | 2 | 187 | 40.89 |
| Lyes Khoukhi | 3 | 304 | 44.30 |