The harmonic measurement accuracy obtained with voltage transformers can be greatly improved through proper compensation of their nonlinear behavior. In this respect, the authors of this paper have previously proposed a frequency-domain approach for mitigating the harmonic distortion, namely the strongest nonlinear effect. However, identifying the parameters of the compensation formulas requires injecting a broad set of signals, resembling those found during regular operation. The present paper proposes a new approach that enables dramatically reducing the number of training waveforms, thus the duration of the procedure, which has paramount importance for a large-scale implementation. Numerical simulations performed on a reference VT model highlight that the fast identification method enables the same accuracy as the conventional one, while showing exemplary robustness with respect to the metrological performance of the voltage generator used to apply the training waveforms.

A New Method For Identifying Harmonic Distortion Compensation Filters For Voltage Transformers

Faifer M.;Laurano C.;Ottoboni R.;Toscani S.
2023-01-01

Abstract

The harmonic measurement accuracy obtained with voltage transformers can be greatly improved through proper compensation of their nonlinear behavior. In this respect, the authors of this paper have previously proposed a frequency-domain approach for mitigating the harmonic distortion, namely the strongest nonlinear effect. However, identifying the parameters of the compensation formulas requires injecting a broad set of signals, resembling those found during regular operation. The present paper proposes a new approach that enables dramatically reducing the number of training waveforms, thus the duration of the procedure, which has paramount importance for a large-scale implementation. Numerical simulations performed on a reference VT model highlight that the fast identification method enables the same accuracy as the conventional one, while showing exemplary robustness with respect to the metrological performance of the voltage generator used to apply the training waveforms.
2023
Conference Record - IEEE Instrumentation and Measurement Technology Conference
978-1-6654-5383-7
ELETTRICI
Error compensation
Instrument transformers
Nonlinear systems
Power quality
Power system harmonics
System identification
Voltage transformers
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1257289
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