Detection of Ferroresonance Oscillations in Medium Voltage Networks

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 n...

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Main Authors: Krzysztof Solak, Waldemar Rebizant, Matthias Kereit
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/13/16/4129
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author Krzysztof Solak
Waldemar Rebizant
Matthias Kereit
author_facet Krzysztof Solak
Waldemar Rebizant
Matthias Kereit
author_sort Krzysztof Solak
collection DOAJ
description 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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spelling doaj.art-751fb40883b442e7b8c98a338adb63c42023-11-20T09:39:30ZengMDPI AGEnergies1996-10732020-08-011316412910.3390/en13164129Detection of Ferroresonance Oscillations in Medium Voltage NetworksKrzysztof Solak0Waldemar Rebizant1Matthias Kereit2Faculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-370 Wroclaw, PolandFaculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-370 Wroclaw, PolandSiemens AG Berlin, 13629 Berlin, GermanyThis 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.https://www.mdpi.com/1996-1073/13/16/4129ferroresonance oscillationsmedium voltage networksdigital simulationdetection algorithm
spellingShingle Krzysztof Solak
Waldemar Rebizant
Matthias Kereit
Detection of Ferroresonance Oscillations in Medium Voltage Networks
Energies
ferroresonance oscillations
medium voltage networks
digital simulation
detection algorithm
title Detection of Ferroresonance Oscillations in Medium Voltage Networks
title_full Detection of Ferroresonance Oscillations in Medium Voltage Networks
title_fullStr Detection of Ferroresonance Oscillations in Medium Voltage Networks
title_full_unstemmed Detection of Ferroresonance Oscillations in Medium Voltage Networks
title_short Detection of Ferroresonance Oscillations in Medium Voltage Networks
title_sort detection of ferroresonance oscillations in medium voltage networks
topic ferroresonance oscillations
medium voltage networks
digital simulation
detection algorithm
url https://www.mdpi.com/1996-1073/13/16/4129
work_keys_str_mv AT krzysztofsolak detectionofferroresonanceoscillationsinmediumvoltagenetworks
AT waldemarrebizant detectionofferroresonanceoscillationsinmediumvoltagenetworks
AT matthiaskereit detectionofferroresonanceoscillationsinmediumvoltagenetworks