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Planning of Distributed Energy Storage Systems in μGrids Accounting for Voltage Dips

descriptionPublicationkeyboard_double_arrow_right Article , Journal , Other literature type 14 Jan 2020 Italy Publisher:MDPI AGJournal:Energies, volume 13, page 401 (eissn: 1996-1073,

Authors: Fabio Mottola; Daniela Proto; Pietro Varilone; Paola Verde;

doi: 10.3390/en13020401

handle: 11588/788515 , 11580/80013

Planning of Distributed Energy Storage Systems in μGrids Accounting for Voltage Dips

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Abstract

This paper deals with the optimal planning of the electrical energy storage systems in the microgrids aimed at cost minimization. The optimization accounts for the compensation of the voltage dips performed by the energy storage systems. A multi-step procedure, at the first step, identifies a set of candidate buses where the installation of a storage device produces the maximum benefit in terms of dip compensation; then, the life cycle costs in correspondence of different alternatives in terms of size and location of the storage systems are evaluated by considering an optimized use of the energy storage systems. The simulations on a medium voltage microgrid allowed validating the effectiveness of the proposed procedure.

Country

Italy

Related Organizations

University Federico II of Naples
Italy
University of Cassino and Southern Lazio
Italy

Keywords

Technology, Electrical energy storage systems; Microgrid planning; Power quality; Voltage dips, T, Microgrid planning, electrical energy storage systems, voltage dips, power quality, microgrid planning, electrical energy storage systems; voltage dips; power quality; microgrid planning, Electrical energy storage systems, Power quality, Voltage dips

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).	12
	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.	Top 10%
	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%