Methods for Partial Discharge Calibration in Gas-Insulated Substations for HVDC Power Grids and Charge Evaluation Uncertainty

Journal Article (2023)
Author(s)

Christian Mier Escurra (TU Delft - High Voltage Technology Group)

Abderrahim Khamlichi (Laboratorio Central Oficial de Electrotencia, Madrid)

Matthieu Dalstein (Super Grid Institute, Villeurbanne)

Jose Ramon Vidal (Laboratorio Central Oficial de Electrotencia, Madrid)

Fernando Garnacho (Laboratorio Central Oficial de Electrotencia, Madrid)

Armando Rodrigo Mor (Universitat Politécnica de Valencia)

Thanh Vu-Cong (Super Grid Institute, Villeurbanne)

Research Group
High Voltage Technology Group
Copyright
© 2023 C. Mier Escurra, Abderrahim Khamlichi, Matthieu Dalstein, Jose Ramon Vidal, Fernando Garnacho, Armando Rodrigo Mor, Thanh Vu-Cong
DOI related publication
https://doi.org/10.1109/JSEN.2023.3302871
More Info
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Publication Year
2023
Language
English
Copyright
© 2023 C. Mier Escurra, Abderrahim Khamlichi, Matthieu Dalstein, Jose Ramon Vidal, Fernando Garnacho, Armando Rodrigo Mor, Thanh Vu-Cong
Research Group
High Voltage Technology Group
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. @en
Issue number
19
Volume number
23
Pages (from-to)
23486-23493
Reuse Rights

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Abstract

Driven by the voltage increase in high-voltage direct current (HVDC) gas-insulated substations (GISs), novel methods are needed for partial discharge (PD) detection and monitoring. This article shows a PD calibration method for very-high-frequency (VHF) magnetic and electric sensors in GIS. The calibration method uncertainty is tested in three laboratories using a low-voltage (LV) test bench and a high-voltage (HV) full-scale GIS. In the LV test, the calibration method's linearity, signal-to-noise ratio (SNR), and pulsewidth were compared against a reference charge, resulting in an error of around ±10%. The HV test consisted of different artificial defects introduced in a full-scale GIS, resulting in errors of around ±30%. The uncertainty is attributed mainly to random noise, which is critical in the charge estimation method. The electric and magnetic sensor combination showed better results, especially in the full-scale GIS, where reflections play an important role. This research has been performed in the framework of the project Future Energy 19ENG02 of EURAMET, resulting in a calibration method with the potential to measure PD pulses and discriminate impulse interferences, giving an advantage over conventional and ultrahigh-frequency (UHF) methods.

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