The concept of electrical-mobility in opposition to the present oil-mobility is becoming even more attractive worldwide. Fast Charging Station (FCS) refers charging stations with nominal power equal or higher than 50 kW. The impacts of EV charging on electricity grids is becoming an increasingly important subject of study, but detailed knowledge about the future charging profiles of EVs appears to be missing in Literature. The FCS requires high power and they must be connected to MV networks. For that reasons, it is crucial to analyze these situations and to model the FCS consumption, in order to correctly plan the expansion of the MV system. In the paper a Monte Carlo simulation methodology is proposed to model the aspects that influence the request of fast charge for EVs. The EV charge profiles should be used in the planning and in the EV impact analysis of the future networks.

Aggregated Electric Vehicles load profiles with Fast Charging Stations

CELLI, GIANNI;SOMA, GIAN GIUSEPPE;PILO, FABRIZIO GIULIO LUCA;MOCCI, SUSANNA;NATALE, NICOLA
2014-01-01

Abstract

The concept of electrical-mobility in opposition to the present oil-mobility is becoming even more attractive worldwide. Fast Charging Station (FCS) refers charging stations with nominal power equal or higher than 50 kW. The impacts of EV charging on electricity grids is becoming an increasingly important subject of study, but detailed knowledge about the future charging profiles of EVs appears to be missing in Literature. The FCS requires high power and they must be connected to MV networks. For that reasons, it is crucial to analyze these situations and to model the FCS consumption, in order to correctly plan the expansion of the MV system. In the paper a Monte Carlo simulation methodology is proposed to model the aspects that influence the request of fast charge for EVs. The EV charge profiles should be used in the planning and in the EV impact analysis of the future networks.
2014
978-83-935801-2-5
978-83-935801-3-2
Vehicles, Batteries, Planning, System-on-chip, Probabilistic logic, Monte Carlo methods, Charging stations
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11584/109200
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