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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Gharbaoui, M. Bruno, R. Martini, B. Valcarenghi, L. Conti, M. Castoldi, P. |
| Copyright Year | 2014 |
| Description | Author affiliation: Scuola Superiore Sant'Anna, Pisa, Italy (Gharbaoui, M.; Valcarenghi, L.; Castoldi, P.) || IIT, Pisa, Italy (Bruno, R.; Conti, M.) || CNIT, Pisa, Italy (Martini, B.) |
| Abstract | The availability of publicly accessible charging stations in urban areas can foster the widespread adoption of Electric Vehicles (EVs). However, the introduction of public charging infrastructures will put an additional strain on the power grid due to the possible occurrence of peak demands. This study is a first attempt to quantitatively assess the potential benefits of introducing in a public charging infrastructure smart charging stations that are capable of modulating the current supplied to the EVs. Specifically, we assume that each charging station has limited power resources that must be shared among the EVs attached to its charging sockets according to a given scheduling strategy. To evaluate the performance of such system we utilise SUMO, an open-source and widely used vehicular traffic simulator, along with a highly realistic mobility trace for the metropolitan area of Luxembourg City. Simulation results indicate that the use of simple charging strategies that take advantage of the modulation capabilities of smart charging stations (e.g., fair-sharing or token-based scheduling approaches) can effectively mitigate the impact of EV charging demands on the power grid with a limited degradation of charging performance. However, our results also confirm that a significant investment on charging infrastructure might be necessary to guarantee a non-blocking charging service. |
| Starting Page | 299 |
| Ending Page | 305 |
| File Size | 693143 |
| Page Count | 7 |
| File Format | |
| e-ISBN | 9781479967292 |
| DOI | 10.1109/ICCVE.2014.7297560 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-11-03 |
| Publisher Place | Austria |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Simulations Adaptive charging strategies Sockets Public charging infrastructure Mobility traces Modulation Electric Vehicles Charging stations Cities and towns Electric vehicles Batteries |
| Content Type | Text |
| Resource Type | Article |
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