Name
Abstract | ||
|---|---|---|
The objective of this paperis to carry out an intelligent charging scenario for electric vehicles according to the vehicle-to-grid technology. A management algorithm is put in place to ensure optimal power control with respect to several constraints related to electricity price, battery capacity and state of charge. A14 nodes distribution network is considered for this study, where the proposed strategy can charge and discharge electric vehicles batteries according to the electricity price. Yet, electric vehicle owners can benefit from the smart charging process. In this paper, a charging station with a high number of gridable vehicles connected to a distribution node is implemented to illustrate the efficiency of the proposed optimization algorithm. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/SSD.2019.8893171 | 2019 16th International Multi-Conference on Systems, Signals & Devices (SSD) |
Keywords | Field | DocType |
Electric vehicle,V2G scheme,dumb charge,SOC,electricity price,voltage pattern,demand pattern | Battery capacity,Automotive engineering,Computer science,Charging station,Electric vehicle,Power control,Control engineering,Optimization algorithm,Electricity price,Cost benefit,State of charge | Conference |
ISSN | ISBN | Citations |
2474-0438 | 978-1-7281-1821-5 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Khouloud Wali | 1 | 0 | 0.68 |
| Rayhane Koubaa | 2 | 0 | 1.01 |
| lotfi krichen | 3 | 0 | 4.39 |