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Nonlinear regression applied for power quality disturbances characterization in grids with wind generators

descriptionPublicationkeyboard_double_arrow_right Article 24 Jan 2024Publisher:UK Zhende Publishing Limited CompanyJournal:RE&PQJ, volume 7 (issn: 2172-038X, eissn: 2172-038X, Copyright policy )
Authors: null M. Mahmoodi; null G. B. Gharehpetian;

doi: 10.24084/repqj07.290

Nonlinear regression applied for power quality disturbances characterization in grids with wind generators

Abstract

In previous researches, the large signal models of DC microgrids have been developed without using any time averaging technique. Thus, the results obtained from available DC microgrid large signal models have not been verified by results from their detailed models. This paper presents a suitable large signal model for DC microgrids which has the same response as control area and detailed models. 

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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