LAPSE:2023.34583v1
Published Article
LAPSE:2023.34583v1
Stability Metric Based on Sensitivity Analysis Applied to Electrical Repowering System
April 27, 2023
Abstract
Stability metrics are used to quantify a system’s ability to maintain equilibrium under disturbances. We did not identify the proposition of a stability metric using sensitivity analysis within the literature. This work proposes a system stability metric and its application to an electrical repowering system. The methodology for applying the proposed metric comprises: (i) system parameters sensitivity analysis and spider diagram construction, (ii) determining the array containing the line segments inclination angles of each spider diagram curve, and (iii) stability calculation using the array mean and maximum inclination value of a line segment. After simulating the model built for the electrical repowering system and applying the methodology, we obtain results regarding the sensitivity indices and stability values of system inputs relative to their outputs, considering the original system and with reduced parameters. Using the stability study, it was possible to determine different stability categories for the system parameters, which indicates the need for different analysis levels.
Keywords
electric repowering, parameter suppression, sensitivity analysis, stability metric
Suggested Citation
Paiva JRB, Magalhães AS, Moraes PHF, Bulhões JS, Calixto WP. Stability Metric Based on Sensitivity Analysis Applied to Electrical Repowering System. (2023). LAPSE:2023.34583v1
Author Affiliations
Paiva JRB: Studies and Researches in Science and Technology Group (GCITE), Federal Institute of Goias (IFG), Goiania 74130-012, GO, Brazil; Electrical, Mechanical and Computer Engineering School (EMC), Federal University of Goias (UFG), Goiania 74605-010, GO, Brazil [ORCID]
Magalhães AS: Studies and Researches in Science and Technology Group (GCITE), Federal Institute of Goias (IFG), Goiania 74130-012, GO, Brazil; Electrical, Mechanical and Computer Engineering School (EMC), Federal University of Goias (UFG), Goiania 74605-010, GO, Brazil [ORCID]
Moraes PHF: Department of Electrical Engineering (DEE), University of Brasilia (UnB), Brasilia 70910-900, DF, Brazil [ORCID]
Bulhões JS: Studies and Researches in Science and Technology Group (GCITE), Federal Institute of Goias (IFG), Goiania 74130-012, GO, Brazil; Electrical, Mechanical and Computer Engineering School (EMC), Federal University of Goias (UFG), Goiania 74605-010, GO, Brazil [ORCID]
Calixto WP: Studies and Researches in Science and Technology Group (GCITE), Federal Institute of Goias (IFG), Goiania 74130-012, GO, Brazil; Electrical, Mechanical and Computer Engineering School (EMC), Federal University of Goias (UFG), Goiania 74605-010, GO, Brazil [ORCID]
Journal Name
Energies
Volume
14
Issue
22
First Page
7824
Year
2021
Publication Date
2021-11-22
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en14227824, Publication Type: Journal Article
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LAPSE:2023.34583v1
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https://doi.org/10.3390/en14227824
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Apr 27, 2023
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