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Hybrid Sensing of Internal and Surface Partial Discharges in Air-Insulated Medium Voltage Switchgear

Author

Listed:
  • Ghulam Amjad Hussain

    (Department of Engineering, College of Engineering and Applied Sciences, American University of Kuwait, Safat 13034, Kuwait)

  • Ashraf A. Zaher

    (Department of Engineering, College of Engineering and Applied Sciences, American University of Kuwait, Safat 13034, Kuwait)

  • Detlef Hummes

    (Department of Engineering, College of Engineering and Applied Sciences, American University of Kuwait, Safat 13034, Kuwait)

  • Madia Safdar

    (Department of Electrical and Automation Engineering, School of Electrical Engineering, Aalto University, 02150 Espoo, Finland)

  • Matti Lehtonen

    (Department of Electrical and Automation Engineering, School of Electrical Engineering, Aalto University, 02150 Espoo, Finland)

Abstract

Partial discharge (PD) measurements have proved their reliability for health monitoring of insulation systems in power system components including synchronous generators, power transformers, switchgear and cables etc. Online condition monitoring and pro-active detection of PD faults have been highly demanded over the last two decades. This paper provides results from a research project to develop advanced non-intrusive sensing technologies that are cost effective, reliable and efficient for early detection of PD faults in medium voltage (MV) and high voltage (HV) air-insulated switchgear. Three sensors (high frequency E-field ( D -dot) sensor, Rogowski coil and loop antenna) have been developed and tested under various PD faults and their performance were evaluated in comparison with high frequency current transformer (HFCT) which is being used commercially for PD testing and measurement. Among these three sensors, it is shown that D -dot sensor and Rogowski coil are more dependable when it comes to the PD measurements due to their high signal to noise ratio and hence high accuracy. These sensors can be customized according to a specific application and can be connected together with one data acquisition device while developing an online condition monitoring system.

Suggested Citation

  • Ghulam Amjad Hussain & Ashraf A. Zaher & Detlef Hummes & Madia Safdar & Matti Lehtonen, 2020. "Hybrid Sensing of Internal and Surface Partial Discharges in Air-Insulated Medium Voltage Switchgear," Energies, MDPI, vol. 13(7), pages 1-16, April.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:7:p:1738-:d:341698
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    References listed on IDEAS

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    1. Yuanlin Luo & Zhaohui Li & Hong Wang, 2017. "A Review of Online Partial Discharge Measurement of Large Generators," Energies, MDPI, vol. 10(11), pages 1-32, October.
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    Cited by:

    1. Yaseen Ahmed Mohammed Alsumaidaee & Chong Tak Yaw & Siaw Paw Koh & Sieh Kiong Tiong & Chai Phing Chen & Kharudin Ali, 2022. "Review of Medium-Voltage Switchgear Fault Detection in a Condition-Based Monitoring System by Using Deep Learning," Energies, MDPI, vol. 15(18), pages 1-34, September.
    2. Sinda Kaziz & Mohamed Hadj Said & Antonino Imburgia & Bilel Maamer & Denis Flandre & Pietro Romano & Fares Tounsi, 2023. "Radiometric Partial Discharge Detection: A Review," Energies, MDPI, vol. 16(4), pages 1-33, February.

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