LAPSE:2023.33305
Published Article
LAPSE:2023.33305
Parametric Regression Applied for Determination of Electrical Parameters of Synchronous and Induction Generators Operating in Parallel on the Electrical Energy Repowering System
Alan H. F. Silva, Alana S. Magalhaes, Junio S. Bulhoes, Gabriel A. Wainer, Gevanne P. Furriel, Wesley P. Calixto
April 21, 2023
The purpose of this work is to determine the values of electrical parameters of synchronous and induction machines to validate electrical interactions between an induction generator and a synchronous generator. The generators are connected in two ways: (i) isolated from the common bus and (ii) parallel to the common bus in steady state, subject to nonlinear load. They are old and refurbished machines; thus, the parametric regression methodology is used to determine the electrical parameter values. After the computational model validation, analyses are performed by various system configurations to confirm the repowering and to analyze the system harmonic current flow. The results obtained comparing the computer simulation and experimental tests prove that the validated model represents the real system. With an experimentally validated computational model, it is possible to verify the occurrence of system repowering and the increased value of harmonic distortions in the induction generator terminals, acting as a preferential path for harmonic currents.
Keywords
harmonic distortions, induction generator, parametric regression, synchronous generator
Subject
Suggested Citation
Silva AHF, Magalhaes AS, Bulhoes JS, Wainer GA, Furriel GP, Calixto WP. Parametric Regression Applied for Determination of Electrical Parameters of Synchronous and Induction Generators Operating in Parallel on the Electrical Energy Repowering System. (2023). LAPSE:2023.33305
Author Affiliations
Silva AHF: Studies and Research in Science and Technology Group (GCITE), Federal Institute of Goias (IFG), Goiania 74055-110, Brazil; Electrical, Mechanical & Computer Engineering School (EMC), Federal University of Goias (UFG), Goiania 74605-010, Brazil [ORCID]
Magalhaes AS: Studies and Research in Science and Technology Group (GCITE), Federal Institute of Goias (IFG), Goiania 74055-110, Brazil; Electrical, Mechanical & Computer Engineering School (EMC), Federal University of Goias (UFG), Goiania 74605-010, Brazil [ORCID]
Bulhoes JS: Studies and Research in Science and Technology Group (GCITE), Federal Institute of Goias (IFG), Goiania 74055-110, Brazil; Electrical, Mechanical & Computer Engineering School (EMC), Federal University of Goias (UFG), Goiania 74605-010, Brazil
Wainer GA: Visualization, Simulation and Modeling (VSIM), Carleton University, Ottawa, ON K1S 5B6, Canada
Furriel GP: Electrical, Mechanical & Computer Engineering School (EMC), Federal University of Goias (UFG), Goiania 74605-010, Brazil; Agroindustrial Automation and Precision Agriculture (AutoAgri), Instituto Federal Goiano (IFGoiano), Trindade 75389-269, Brazil
Calixto WP: Studies and Research in Science and Technology Group (GCITE), Federal Institute of Goias (IFG), Goiania 74055-110, Brazil; Electrical, Mechanical & Computer Engineering School (EMC), Federal University of Goias (UFG), Goiania 74605-010, Brazil; Visualizat [ORCID]
Journal Name
Energies
Volume
14
Issue
13
First Page
3875
Year
2021
Publication Date
2021-06-28
Published Version
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en14133875, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.33305
This Record
External Link

doi:10.3390/en14133875
Publisher Version
Download
Files
[Download 1v1.pdf] (944 kB)
Apr 21, 2023
Main Article
License
CC BY 4.0
Meta
Record Statistics
Record Views
62
Version History
[v1] (Original Submission)
Apr 21, 2023
 
Verified by curator on
Apr 21, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.33305
 
Original Submitter
Auto Uploader for LAPSE
Links to Related Works
Directly Related to This Work
Publisher Version