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Charging Strategies for Ultra-Fast Stations with Multiple Plug-in Electric Vehicle Parking Slots

descriptionPublicationkeyboard_double_arrow_right Conference object , Article 23 Sep 2020 Italy Publisher:IEEEJournal:2020 AEIT International Annual Conference (AEIT)

Authors: Franzese P.; Iannuzzi D.; Mottola F.; Proto D.; Pagano M.;

doi: 10.23919/aeit50178.2020.9241141

handle: 11588/827561

Charging Strategies for Ultra-Fast Stations with Multiple Plug-in Electric Vehicle Parking Slots

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Abstract

Worldwide expectancy of larger fleets of PEVs requires an increasing number of available fast and ultra-fast charging stations. In order to reduce the impact on the distribution grid of the power demand of large fleets of PEVs, the coordination of charging in stations equipped with multiple charging slots is mandatory. The paper suggests a smart charging profile of electrical vehicles based on an optimization problem in order to minimize the charging time. Constraints in term of limits on the power supplied by DSO, the available state of charge (SOC) of the BESS and the energy requested by the PEVs are taken into account. Some simulations are presented to validate the suggested charging strategy.

Country

Italy

Related Organizations

University Federico II of Naples
Italy

Keywords

ultra-fast charging station, energy management.; minimization problem; scheduling; ultra-fast charging station, energy management, minimization problem, scheduling

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	2
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average