2026-04-28T00:33:56Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/75402024-05-14T09:45:32Zcom_10259_6155com_10259_4266com_10259.4_106com_10259_2604col_10259_6156
Martínez, Raquel
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600
Arroyo, Alberto
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600
Pigazo, Alberto
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600
Manana, Mario
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600
Bayona Blanco, Eduardo
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500
0000-0001-5598-3997
Azcondo, Francisco J.
2d321a52-5c3a-4f94-af84-550deeb0c447
600
Bustamante, Sergio
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Laso, Alberto
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2023-03-14T08:12:31Z
2023-03-14T08:12:31Z
2022-12
http://hdl.handle.net/10259/7540
10.3390/s23010195
1424-8220
Power-quality events and operation transients in power systems (PS) with isolated neutral
can saturate inductive voltage transformers (IVT), which, when interacting with the overhead and
underground cable capacitances, can cause ferroresonance events in the local PS. This abnormal
operating mode can partially or totally damage the transformers and switchgears within the affected
PS. Distribution system operators (DSO) can minimize these effects by detecting ferroresonance events
accurately and fast enough and changing the mode of operation accordingly. Direct detection methods,
i.e., based on voltage measurements, are reliable, but the massive deployment of this solution is
relatively expensive; i.e., power quality analyzers cost thousands of USD. Alternatively, indirect
detection methods are also available, e.g., IVT vibration measurements with accelerometers costing
hundreds of USD, but their reliability depends on the installation method used. This manuscript
proposes using the acoustic noise caused by magnetostriction forces within the IVT core during
ferroresonance events to detect their occurrence. Compared to other indirect methods, electret
condenser microphones with preamplifying stage cost less than USD 10 and are less sensitive to
the installation procedure. The proposed method is validated experimentally, and its performance
compared to IVT vibration measurements one by using the same detection methodology.
This work was partially financed by the EU Regional Development Fund (FEDER) and the Spanish Government under RETOS-COLABORACION RTC-2017-6782-3, the Spanish Ministry of Science and Innovation under project PID2021-128941OB-I00, and by the European Union’s Horizon 2020 research and innovation program under grant agreement No. 864579 (FLEXIGRID).
application/pdf
eng
MDPI
Sensors. 2022, V. 23, n. 1, 195
https://doi.org/10.3390/s23010195
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/RTC-2017-6782-3/ES/Localización de averías, monitorización de estado y control redes de Baja Tensión/LOCATE/
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica, Técnica y de Innovación 2021-2023/PID2021-128941OB-I00/ES/TRANSFORMACION EFICIENTE DE LA ENERGIA EN ENTORNOS INDUSTRIALES/
info:eu-repo/grantAgreement/EC/H2020/864579/EU/Interoperable solutions for implementing holistic FLEXIbility services in the distribution GRID/FLEXIGRID/
Atribución 4.0 Internacional
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
Ferroresonance detection
Inductive voltage transformer
Potential transformer
Electrotecnia
Electrical engineering
Acoustic Noise-Based Detection of Ferroresonance Events in Isolated Neutral Power Systems with Inductive Voltage Transformers
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Sensors
23
1
THUMBNAIL
Martinez-sensors_2022.pdf.jpg
Martinez-sensors_2022.pdf.jpg
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LICENSE
license.txt
license.txt
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https://riubu.ubu.es/bitstream/10259/7540/3/license.txt
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ORIGINAL
Martinez-sensors_2022.pdf
Martinez-sensors_2022.pdf
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10259/7540
oai:riubu.ubu.es:10259/7540
2024-05-14 11:45:32.043
Repositorio Institucional de la Universidad de Burgos
bubrep@ubu.es
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