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Analysis of Noise Characteristics in Partial Discharge Diagnosis for Gas Insulated Load Break Switches

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Abstract

In this study, on-site noise signals were measured and classified, which disturbed the partial discharge diagnosis of gas-insulated load break switches in the distribution power system. On-site noises were mainly classified into external partial discharge signals inflowing from overhead lines and underground cables, load noise signals inflowing from customer equipment, and background noise in the UHF region. Considering such on-site noise characteristics, an artificial noise generator was made. Furthermore, the experimental system was constructed using four load break switches and power cables. The propagated signals of the partial discharge and the noise in the experimental system were measured and analyzed using the HFCT sensor and the portable TEV detector. The signals propagated through the switches and cables showed exponentially attenuated characteristics, although all types of sensors had different measurement frequency bands. PD detectors that measure only the magnitude are insufficient to distinguish between internal partial discharge and external noise.

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Acknowledgements

This study was supported by the KEPCO Research Institute in 2022

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Authors and Affiliations

  1. Department of Electrical Engineering, Dae** University, Pocheon, Korea

    Geonhyuk Park, Sungho Yoon & Jeongtae Kim

  2. KEPCO Research Institute, Daejeon, Korea

    In** Seo & Moonho Kang

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  1. Geonhyuk Park
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  2. Sungho Yoon
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  3. In** Seo
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  4. Moonho Kang
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  5. Jeongtae Kim
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Correspondence to Jeongtae Kim.

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Park, G., Yoon, S., Seo, I. et al. Analysis of Noise Characteristics in Partial Discharge Diagnosis for Gas Insulated Load Break Switches. J. Electr. Eng. Technol. 18, 2211–2219 (2023). https://doi.org/10.1007/s42835-022-01327-5

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  • DOI: https://doi.org/10.1007/s42835-022-01327-5

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