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Optimal storage operation in EV charging stations delivering grid services

descriptionPublicationkeyboard_double_arrow_right Conference object , Article 01 Jun 2016 Italy Publisher:IEEEJournal:2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC)

Authors: BARSALI, STEFANO; GIGLIOLI, ROMANO; LUTZEMBERGER, GIOVANNI; POLI, DAVIDE;

doi: 10.1109/eeeic.2016.7555542

handle: 11568/834128

Optimal storage operation in EV charging stations delivering grid services

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Abstract

This paper presents criteria for the optimal operation of an EV charging station, capable of providing the grid with regulation services such as frequency and voltage control, peak shaving, and load leveling. The presence of an additional storage device connected to the charging station is investigated; both configurations are analyzed in which the storage device of each vehicle contributes to such services and in which the charging profile is independently imposed by the vehicle charging control system.

Country

Italy

Related Organizations

University of Pisa
Italy
Università degli studi di Salerno
Italy

Keywords

ancillary services; control architecture; electric vehicles; energy storage; power quality; Energy Engineering and Power Technology; Renewable Energy, Sustainability and the Environment; Electrical and Electronic Engineering

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).	7
	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).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%