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Impact of non-programmable distributed generation in an islanded microgrid: the case study of Ustica

descriptionPublicationkeyboard_double_arrow_right Conference object 14 Jun 2022 Italy Publisher:IEEEJournal:2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON)

Authors: Caravello G.; Artale G.; Cataliotti A.; Cosentino V.; Panzavecchia N.; Boscaino V.; Guaiana S.; +3 Authors

doi: 10.1109/melecon53508.2022.9842993

handle: 20.500.14243/447432 , 10447/573407

Impact of non-programmable distributed generation in an islanded microgrid: the case study of Ustica

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Abstract

The paper presents a systematic analysis of non-programmable distributed generation impact in an islanded microgrid. Different issues have been analyzed, with a special focus on the most significant ones in a small islanded network. To this aim, the case study of Ustica island was considered. A digital twin of the MV network was developed starting from the network topology data and the power measurement acquired in each secondary substation. Simulations were then performed in the hypothesis of a large increment of distributed generation installation into the network. A discussion is then reported on which are the main technical issues to be faced in the considered case study.

Country

Italy

Related Organizations

Keywords

smart-grid, distributed generation, grid stability, Distributed generation

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).	1
	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