Balanced Magnetic Antenna for Partial Discharge Measurements in Gas-Insulated Substations

Conference Paper (2022)
Author(s)

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

A. R. Rodrigo Mor (Universitat Politécnica de Valencia)

Research Group
High Voltage Technology Group
Copyright
© 2022 C. Mier Escurra, A. R. Mor
DOI related publication
https://doi.org/10.23919/CMD54214.2022.9991698
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 C. Mier Escurra, A. R. Mor
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
Pages (from-to)
509-512
ISBN (print)
978-1-6654-7015-5
ISBN (electronic)
978-4-88686-431-4
Reuse Rights

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Abstract

Recent research has found that Magnetic loop antennas can detect partial discharges (PD) in gas-insulated substations (GIS); however, unbalanced shielded loop (UBSL) antennas are affected by electric field coupling. This research proposes a balanced shielded loop (BSL) adapted for GIS PD sensing with different designs. The frequency response and PD charge estimation for BSL and UBSL antennas are analyzed and compared in a matched test bench using a very-fast pulse calibrator. The results confirmed a better common-mode noise rejection and thus a better charge estimation by using the balanced magnetic antenna. An alternative BSL design improved the antenna's gain by a factor of two, and by using a balun transformer, the gain was increased by a factor of 4. The results showed the criticality in the shielded gap placement and the influence of the antenna's parasitic elements on the balun's frequency response. This paper shows an improvement in the noise rejection using magnetic antennas, which leads to the possibility of better PD sensing in GIS.

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