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Review on Detection and Analysis of Partial Discharge along Power Cables

Author

Listed:
  • Xiaohua Zhang

    (State Grid Jibei Electric Power Company Limited, Beijing 100054, China)

  • Bo Pang

    (State Grid Jibei Electric Power Company Limited, Beijing 100054, China)

  • Yaxin Liu

    (State Grid Jibei Electric Power Company Limited Smart Distribution Network Center, Qinghuangdao 066199, China)

  • Shaoyu Liu

    (State Grid Qinhuangdao Electric Power Supply Company, Qinghuangdao 066099, China)

  • Peng Xu

    (State Grid Jibei Electric Power Company Limited, Beijing 100054, China)

  • Yan Li

    (School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China)

  • Yifan Liu

    (School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China)

  • Leijie Qi

    (School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China)

  • Qing Xie

    (School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China)

Abstract

Partial discharge (PD) detection and analysis plays a crucial role for acceptance testing and condition monitoring of power cables. Various aspects are related to PD in power cables from theory to practice. This paper first summarizes the PD mechanism and models used for PD analysis in power cables. Afterwards, PD detection is addressed in the aspects of off-line test, on-line test, and sensors. PD analysis is discussed in detail. Specifically, related quantities and algorithms for PD analysis are outlined. PD characteristics with affecting factors, e.g., dielectric type, load, and applied voltage are discussed. Experience on PD development trend with measurements in field is analyzed. Based on the comprehensive review, challenges of PD detection and analysis along a power cable are proposed.

Suggested Citation

  • Xiaohua Zhang & Bo Pang & Yaxin Liu & Shaoyu Liu & Peng Xu & Yan Li & Yifan Liu & Leijie Qi & Qing Xie, 2021. "Review on Detection and Analysis of Partial Discharge along Power Cables," Energies, MDPI, vol. 14(22), pages 1-21, November.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:22:p:7692-:d:681065
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    References listed on IDEAS

    as
    1. Jinseok Kim & Ki-Il Kim, 2021. "Partial Discharge Online Detection for Long-Term Operational Sustainability of On-Site Low Voltage Distribution Network Using CNN Transfer Learning," Sustainability, MDPI, vol. 13(9), pages 1-20, April.
    2. Mohamad Ghaffarian Niasar & Xiaolei Wang & Respicius Clemence Kiiza, 2021. "Review of Partial Discharge Activity Considering Very-Low Frequency and Damped Applied Voltage," Energies, MDPI, vol. 14(2), pages 1-20, January.
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    Cited by:

    1. Simone A. Rocha & Thiago G. Mattos & Rodrigo T. N. Cardoso & Eduardo G. Silveira, 2022. "Applying Artificial Neural Networks and Nonlinear Optimization Techniques to Fault Location in Transmission Lines—Statistical Analysis," Energies, MDPI, vol. 15(11), pages 1-24, June.
    2. Tanachai Somsak & Thanapong Suwanasri & Cattareeya Suwanasri, 2021. "Lifetime Estimation Based Health Index and Conditional Factor for Underground Cable System," Energies, MDPI, vol. 14(23), pages 1-15, December.
    3. Jian-Hsing Lee & Chih-Cherng Liao & Yeh-Jen Huang & Ching-Ho Li & Li-Yang Hong & Yeh-Ning Jou & Ke-Horng Chen, 2022. "Unipolar Arc Ignited Partial Discharge for 650-V AlGaN/GaN HEMTs during the DC Breakdown Voltage Measurement," Energies, MDPI, vol. 15(20), pages 1-12, October.

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