LAPSE:2023.25766
Published Article

LAPSE:2023.25766
Detection of Ferroresonance Oscillations in Medium Voltage Networks
March 29, 2023
Abstract
This paper presents a new algorithm for the detection of ferroresonance oscillations in medium voltage (MV) power systems. The proposed method is based on an analysis of estimated flux resulting from the voltage in open delta voltage transformer (VT) connection. The testing results proved that the new solution is capable of identifying quickly and reliably ferroresonance oscillations and it does not maloperate during faults. In addition, this method is simple for hardware implementation. The developed solution has been thoroughly tested on simulation runs (from the MATLAB2019b/Simulink program), as well as recorded signals.
This paper presents a new algorithm for the detection of ferroresonance oscillations in medium voltage (MV) power systems. The proposed method is based on an analysis of estimated flux resulting from the voltage in open delta voltage transformer (VT) connection. The testing results proved that the new solution is capable of identifying quickly and reliably ferroresonance oscillations and it does not maloperate during faults. In addition, this method is simple for hardware implementation. The developed solution has been thoroughly tested on simulation runs (from the MATLAB2019b/Simulink program), as well as recorded signals.
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Keywords
detection algorithm, digital simulation, ferroresonance oscillations, medium voltage networks
Subject
Suggested Citation
Solak K, Rebizant W, Kereit M. Detection of Ferroresonance Oscillations in Medium Voltage Networks. (2023). LAPSE:2023.25766
Author Affiliations
Solak K: Faculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-370 Wroclaw, Poland [ORCID]
Rebizant W: Faculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-370 Wroclaw, Poland
Kereit M: Siemens AG Berlin, 13629 Berlin, Germany
Rebizant W: Faculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-370 Wroclaw, Poland
Kereit M: Siemens AG Berlin, 13629 Berlin, Germany
Journal Name
Energies
Volume
13
Issue
16
Article Number
E4129
Year
2020
Publication Date
2020-08-10
ISSN
1996-1073
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Original Submission
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PII: en13164129, Publication Type: Journal Article
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LAPSE:2023.25766
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https://doi.org/10.3390/en13164129
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Mar 29, 2023
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