Title
Methods for Partial Discharge Calibration in Gas-Insulated Substations for HVDC Power Grids and Charge Evaluation Uncertainty
Author
Mier Escurra, C. (TU Delft High Voltage Technology Group)
Khamlichi, Abderrahim (Laboratorio Central Oficial de Electrotencia, Madrid)
Dalstein, Matthieu (Super Grid Institute, Villeurbanne)
Vidal, Jose Ramon (Laboratorio Central Oficial de Electrotencia, Madrid)
Garnacho, Fernando (Laboratorio Central Oficial de Electrotencia, Madrid)
Mor, Armando Rodrigo (Universitat Politécnica de Valencia)
Vu-Cong, Thanh (Super Grid Institute, Villeurbanne)
Date
2023
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.
Subject
calibration
GIS
partial discharges
uncertainty
To reference this document use:
http://resolver.tudelft.nl/uuid:e3579e62-7665-4e61-b8c4-3a208ca88695
DOI
https://doi.org/10.1109/JSEN.2023.3302871
Embargo date
2024-02-05
ISSN
1530-437X
Source
IEEE Sensors Journal, 23 (19), 23486-23493
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.
Part of collection
Institutional Repository
Document type
journal article
Rights
© 2023 C. Mier Escurra, Abderrahim Khamlichi, Matthieu Dalstein, Jose Ramon Vidal, Fernando Garnacho, Armando Rodrigo Mor, Thanh Vu-Cong