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SCOPUS CiteScore: 2.0
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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

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


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  2/2016 - 13

Determination of Operation Characteristics of a Synchronous Generator by Static Experimental Tests

ILINA, I.-D. See more information about ILINA, I.-D. on SCOPUS See more information about ILINA, I.-D. on IEEExplore See more information about ILINA, I.-D. on Web of Science, TUDORACHE, T. See more information about TUDORACHE, T. on SCOPUS See more information about TUDORACHE, T. on SCOPUS See more information about TUDORACHE, T. on Web of Science
 
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Download PDF pdficon (1,434 KB) | Citation | Downloads: 751 | Views: 2,917

Author keywords
electric machines, generators, parameter estimation, performance evaluation, circuit testing

References keywords
synchronous(25), machine(15), parameters(13), energy(9), conversion(9), identification(7), estimation(7), test(6), generator(6), stand(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2016-05-31
Volume 16, Issue 2, Year 2016, On page(s): 93 - 100
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2016.02013
Web of Science Accession Number: 000376996100013
SCOPUS ID: 84974850932

Abstract
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This paper deals with the determination of the operation characteristics of a Synchronous Generator (SG) using static experimental tests (current and voltage decay tests). Using these tests the magnetization characteristic, the machine parameters (synchronous magnetization inductances and differential magnetization inductances), the no-load characteristic and the external characteristic were determined. The magnetization characteristic, the parameters and the operational characteristics provide important information about the performance of synchronous generator, machine which is currently used in most power plants. Compared to classical experimental methods with moving rotor and numerical methods of field computation that require the knowledge of geometric dimensions and material properties, static experimental methods are distinguished by several advantages: simple implementation for any type of SG, quick results, low power consumption and no effect on the drive system where the machine is integrated. The mathematical model of SG uses dedicated Matlab-Simulink programs and the results obtained by static methods are compared with those obtained by classical methods. Also to better approach the phenomenon of magnetic saturation and a more accurate estimate of the parameters, the magnetization characteristic, synchronous magnetization inductances and differential magnetization inductances are determined versus the total magnetizing current.


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Cited-By SCOPUS

SCOPUS® Times Cited: 4
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Cited-By CrossRef

[1] Predictive Controller Based on Paraconsistent Annotated Logic for Synchronous Generator Excitation Control, Da Silva Filho, João Inácio, de Oliveira, Raphael Adamelk Bispo, Rodrigues, Marcos Carneiro, Côrtes, Hyghor Miranda, Rocco, Alexandre, Mario, Mauricio Conceição, Garcia, Dorotéa Vilanova, Abe, Jair Minoro, Torres, Claudio Rodrigo, Ricciotti, Viviane B. Duarte, Ricciotti, Antonio Carlos Duarte, de Carvalho, Arnaldo, Lambert-Torres, Germano, Energies, ISSN 1996-1073, Issue 4, Volume 16, 2023.
Digital Object Identifier: 10.3390/en16041934
[CrossRef]

[2] Output Voltage Model of the Automotive Alternator, Puzakov, Andrey, 2023 International Ural Conference on Electrical Power Engineering (UralCon), ISBN 979-8-3503-0339-1, 2023.
Digital Object Identifier: 10.1109/UralCon59258.2023.10291102
[CrossRef]

[3] Determining the Parameters and Simulate Operation of the Synchronous Generators, Ilina, Ion-Daniel, 2023 13th International Symposium on Advanced Topics in Electrical Engineering (ATEE), ISBN 979-8-3503-3193-6, 2023.
Digital Object Identifier: 10.1109/ATEE58038.2023.10108097
[CrossRef]

Updated 2 days, 6 hours ago

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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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