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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
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Suceava - 720229

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  2/2018 - 7

Self-Excited Induction Generator Based Microgrid with Supercapacitor Energy Storage to Support the Start-up of Dynamic Loads

ION, C. P. See more information about ION, C. P. on SCOPUS See more information about ION, C. P. on IEEExplore See more information about ION, C. P. on Web of Science, SERBAN, I. See more information about SERBAN, I. on SCOPUS See more information about SERBAN, I. on SCOPUS See more information about SERBAN, I. on Web of Science
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Download PDF pdficon (1,682 KB) | Citation | Downloads: 840 | Views: 1,981

Author keywords
microhydro power, generators, induction motors, supercapacitors, DC-DC power converters

References keywords
induction(25), power(24), energy(20), dynamic(16), generator(15), excited(14), motor(11), microgrid(11), load(11), loads(10)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2018-05-31
Volume 18, Issue 2, Year 2018, On page(s): 51 - 60
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2018.02007
Web of Science Accession Number: 000434245000007
SCOPUS ID: 85047870424

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A supercapacitor storage system (SCSS) is used for improving the dynamic performances of a microgrid (MG) fed by a self-excited induction generator (SEIG), in the case of the direct start-up of an induction motor (IM) of comparable power. The primary control system contains a voltage source inverter (VSI) with a dump load (DL), to which the SCSS is added. The control strategy for the SCSS consists of injecting power into the VSI DC-link when, because of the overload created by the IM, the DC voltage decreases under the acceptable limit. Thus, the overall performance of the SEIG-supplied MG is significantly improved. Simulations and experimental results accomplished on a laboratory-scale MG validate the effectiveness of the proposed control structure.

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References Weight

Web of Science® Citations for all references: 1,731 TCR
SCOPUS® Citations for all references: 2,195 TCR

Web of Science® Average Citations per reference: 33 ACR
SCOPUS® Average Citations per reference: 41 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

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