Partial discharge and interference discrimination in gas-insulated systems using electric and magnetic sensors

Journal Article (2024)
Authors

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

Armando Rodrigo Rodrigo Mor (Universitat Politécnica de Valencia)

Tianming Luo (TU Delft - High Voltage Technology Group)

P.T.M. Vaessen (Kema Labs, TU Delft - High Voltage Technology Group)

Research Group
High Voltage Technology Group
Copyright
© 2024 C. Mier Escurra, A. R. Mor, T. Luo, P.T.M. Vaessen
To reference this document use:
https://doi.org/10.1016/j.ijepes.2024.109911
More Info
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Publication Year
2024
Language
English
Copyright
© 2024 C. Mier Escurra, A. R. Mor, T. Luo, P.T.M. Vaessen
Research Group
High Voltage Technology Group
Volume number
158
DOI:
https://doi.org/10.1016/j.ijepes.2024.109911
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Abstract

The correct identification of partial discharges (PDs) is instrumental for the maintenance plan in gas-insulated systems (GIS). However, onsite PD measurements are difficult, especially in HVDC systems, where partial discharges can be confused with interference. This paper proposes a method to discern PDs from interferences based on the GIS characteristic impedance. The characteristic impedance is measured using very-high frequency electric and magnetic sensors, and it is calculated using four approaches based on the PD charge magnitude, peak value, peak-to-peak value, and frequency spectrum. The method is first tested with a PD calibrator in a matched and open-circuited GIS testbench. Then, the identification of PDs and interference is tested in a full-scale GIS, where the measurements are subjected to pulse overlapping and noise. Five types of interferences and PDs are injected into the GIS in two positions and measured in multiple mounting holes. The results show that all four approaches can precisely calculate the characteristic impedance in a matched testbench. In the full-scale GIS, these approaches show more deviation, with the peak approach being the most accurate. A practical application of the method is demonstrated using a calibrator in the full-scale GIS. The proposed method contributes to a more reliable PD monitoring system for HVDC/AC GIS and allows better maintenance planning, reducing unnecessary costs, notably for offshore substations.