RT info:eu-repo/semantics/article
T1 Acoustic Noise-Based Detection of Ferroresonance Events in Isolated Neutral Power Systems with Inductive Voltage Transformers
A1 Martínez, Raquel
A1 Arroyo, Alberto
A1 Pigazo, Alberto
A1 Manana, Mario
A1 Bayona Blanco, Eduardo
A1 Azcondo, Francisco J.
A1 Bustamante, Sergio
A1 Laso, Alberto
K1 Ferroresonance detection
K1 Inductive voltage transformer
K1 Potential transformer
K1 Ingeniería eléctrica
K1 Electric engineering
AB Power-quality events and operation transients in power systems (PS) with isolated neutralcan saturate inductive voltage transformers (IVT), which, when interacting with the overhead andunderground cable capacitances, can cause ferroresonance events in the local PS. This abnormaloperating mode can partially or totally damage the transformers and switchgears within the affectedPS. Distribution system operators (DSO) can minimize these effects by detecting ferroresonance eventsaccurately 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 isrelatively expensive; i.e., power quality analyzers cost thousands of USD. Alternatively, indirectdetection methods are also available, e.g., IVT vibration measurements with accelerometers costinghundreds of USD, but their reliability depends on the installation method used. This manuscriptproposes using the acoustic noise caused by magnetostriction forces within the IVT core duringferroresonance events to detect their occurrence. Compared to other indirect methods, electretcondenser microphones with preamplifying stage cost less than USD 10 and are less sensitive tothe installation procedure. The proposed method is validated experimentally, and its performancecompared to IVT vibration measurements one by using the same detection methodology.
PB MDPI
YR 2022
FD 2022-12
LK http://hdl.handle.net/10259/7540
UL http://hdl.handle.net/10259/7540
LA eng
NO 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).
DS Repositorio Institucional de la Universidad de Burgos
RD 04-may-2024