Magnetic and electric antennas calibration for partial discharge charge estimation in gas-insulated substations

Journal Article (2022)
Author(s)

C. Mier Escurra (TU Delft - High Voltage Technology Group)

A. R. Mor (Universitat Politécnica de Valencia)

Luis Carlos Castro Heredia (TU Delft - ESP LAB)

Peter Vaessen (TU Delft - High Voltage Technology Group)

Research Group
High Voltage Technology Group
Copyright
© 2022 C. Mier Escurra, A. R. Mor, L.C. Castro Heredia, P.T.M. Vaessen
DOI related publication
https://doi.org/10.1016/j.ijepes.2022.108226
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 C. Mier Escurra, A. R. Mor, L.C. Castro Heredia, P.T.M. Vaessen
Research Group
High Voltage Technology Group
Volume number
141
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Abstract

There are no accepted procedures that quantify the apparent charge of partial discharge (PD) in gas-insulated substations (GIS). This paper proposes a calibration method for PD charge estimation using unconventional electromagnetic sensors: a magnetic loop antenna (inductive coupler) and an electric antenna (capacitive coupler.) The calibration procedure is intended for the voltage double integral method, which is reviewed for magnetic antennas and extended for electric antennas. By injecting low-frequency sinusoidal signals, the calibration constants are determined for two different test setups: the first one being a testbench where the characteristic impedance is matched and the second one a full-scale 420 kV GIS. The calibration method is validated in three ways: with a calibrated pulse in the testbench, a calibrated pulse in a full-scale GIS, and PD defects in the full-scale GIS. The calibration procedure revealed a frequency limit range dependent on the GIS length and the sensor's signal-to-noise ratio. The three validation methods showed low charge estimation errors for the magnetic and electric antennas, demonstrating that the PD calibration method applies to any electric/magnetic detector with a low-frequency derivative response. This research paves the way for better GIS insulation monitoring and PD sensor harmonization.