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Calibration Proposal for UHF Partial Discharge Measurements at Power Transformers

Author

Listed:
  • Martin Siegel

    (BSS Hochspannungstechnik GmbH, 71229 Leonberg, Germany)

  • Sebastian Coenen

    (Faculty of Electrical Engineering and Information Technology (EIT), University of Applied Science Karlsruhe, 76133 Karlsruhe, Germany)

  • Michael Beltle

    (Institute of Power Transmission and High Voltage Technology (IEH), University of Stuttgart, 70569 Stuttgart, Germany)

  • Stefan Tenbohlen

    (Institute of Power Transmission and High Voltage Technology (IEH), University of Stuttgart, 70569 Stuttgart, Germany)

  • Marc Weber

    (Siemens AG, Transformer Lifecycle Management, 90461 Nürnberg, Germany)

  • Pascal Fehlmann

    (FKH Fachkommission für Hochspannungsfragen, 8050 Zürich, Switzerland)

  • Stefan M. Hoek

    (OMICRON Energy Solutions GmbH, 12099 Berlin, Germany)

  • Ulrich Kempf

    (GE Grid GmbH, 41065 Mönchengladbach, Germany)

  • Robert Schwarz

    (Siemens AG Österreich, Transformers Weiz, 8160 Weiz, Austria)

  • Thomas Linn

    (QUALITROL LLC, Fairport, NY 14450, USA)

  • Jitka Fuhr

    (AF Engineers + Consultants (AFEC) GmbH, 3807 Istelwald, Switzerland)

Abstract

The continuous, non-intermitted service of electrical grids relies on the reliability of their assets, e.g., power transformers. Local insulation defects can result in serve failures such as breakdowns with severe subsequent costs. The prevention of such events is crucial. Hence, partial discharge (PD) activity at power transformers is evaluated directly in the factory before shipment. Additionally, PD activity can be monitored during service using the ultra-high frequency (UHF) method. In this contribution, a calibration procedure is proposed for the UHF method. The calibration process is required to ensure both, reproducibility and comparability of UHF measurements: Only a calibrated UHF measurement procedure can be introduced supplementary to IEC 60270 in acceptance tests of power transformers. The proposed calibration method considers two factors: The influence of the UHF-antenna’s sensitivity and the PD recorder characteristics including accessories such as cable damping, pre-amplifier, etc. The former is addressed by a characterization of UHF sensors using the standard antenna factor ( AF ) in a gigahertz transverse electromagnetic (GTEM) cell. The PD recorder’s influence is corrected by using a defined, invariable test signal as reference for all recording devices. A practical evaluation of the proposed calibration procedure is performed in a laboratory setup using different UHF recording devices and UHF sensors using artificial PD signals and real voltage-driven PD sources.

Suggested Citation

  • Martin Siegel & Sebastian Coenen & Michael Beltle & Stefan Tenbohlen & Marc Weber & Pascal Fehlmann & Stefan M. Hoek & Ulrich Kempf & Robert Schwarz & Thomas Linn & Jitka Fuhr, 2019. "Calibration Proposal for UHF Partial Discharge Measurements at Power Transformers," Energies, MDPI, vol. 12(16), pages 1-17, August.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:16:p:3058-:d:255905
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    References listed on IDEAS

    as
    1. Jian Li & Xudong Li & Lin Du & Min Cao & Guochao Qian, 2016. "An Intelligent Sensor for the Ultra-High-Frequency Partial Discharge Online Monitoring of Power Transformers," Energies, MDPI, vol. 9(5), pages 1-15, May.
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    Cited by:

    1. Michał Kozioł & Łukasz Nagi & Michał Kunicki & Ireneusz Urbaniec, 2019. "Radiation in the Optical and UHF Range Emitted by Partial Discharges," Energies, MDPI, vol. 12(22), pages 1-16, November.
    2. Shaorui Qin & Siyuan Zhou & Taiyun Zhu & Shenglong Zhu & Jianlin Li & Zheran Zheng & Shuo Qin & Cheng Pan & Ju Tang, 2021. "Sinusoidal Noise Removal in PD Measurement Based on Synchrosqueezing Transform and Singular Spectrum Analysis," Energies, MDPI, vol. 14(23), pages 1-22, November.
    3. Vo-Nguyen Tuyet-Doan & Tien-Tung Nguyen & Minh-Tuan Nguyen & Jong-Ho Lee & Yong-Hwa Kim, 2020. "Self-Attention Network for Partial-Discharge Diagnosis in Gas-Insulated Switchgear," Energies, MDPI, vol. 13(8), pages 1-16, April.
    4. Chandra Prakash Beura & Michael Beltle & Philipp Wenger & Stefan Tenbohlen, 2022. "Experimental Analysis of Ultra-High-Frequency Signal Propagation Paths in Power Transformers," Energies, MDPI, vol. 15(8), pages 1-15, April.
    5. Chandra Prakash Beura & Michael Beltle & Stefan Tenbohlen & Martin Siegel, 2019. "Quantitative Analysis of the Sensitivity of UHF Sensor Positions on a 420 kV Power Transformer Based on Electromagnetic Simulation," Energies, MDPI, vol. 13(1), pages 1-17, December.
    6. Stefan Tenbohlen & Chandra Prakash Beura & Wojciech Sikorski & Ricardo Albarracín Sánchez & Bruno Albuquerque de Castro & Michael Beltle & Pascal Fehlmann & Martin Judd & Falk Werner & Martin Siegel, 2023. "Frequency Range of UHF PD Measurements in Power Transformers," Energies, MDPI, vol. 16(3), pages 1-21, January.
    7. Michał Kunicki & Sebastian Borucki & Andrzej Cichoń & Jerzy Frymus, 2019. "Modeling of the Winding Hot-Spot Temperature in Power Transformers: Case Study of the Low-Loaded Fleet," Energies, MDPI, vol. 12(18), pages 1-17, September.
    8. Chengjie Zhang & Yuan Li & Senhong Yang & Ranran Li, 2023. "Study on Development Characteristics of Partial Discharge in Oil-Pressboard Insulation under Constant DC Voltage," Energies, MDPI, vol. 16(10), pages 1-14, May.
    9. Daria Wotzka & Wojciech Sikorski & Cyprian Szymczak, 2022. "Investigating the Capability of PD-Type Recognition Based on UHF Signals Recorded with Different Antennas Using Supervised Machine Learning," Energies, MDPI, vol. 15(9), pages 1-20, April.
    10. Benhui Lai & Shichang Yang & Heng Zhang & Yiyi Zhang & Xianhao Fan & Jiefeng Liu, 2020. "Performance Assessment of Oil-Immersed Cellulose Insulator Materials Using Time–Domain Spectroscopy under Varying Temperature and Humidity Conditions," Energies, MDPI, vol. 13(17), pages 1-14, August.

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