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Disturbance Elimination for Partial Discharge Detection in the Spacer of Gas-Insulated Switchgears

Author

Listed:
  • Guoming Wang

    (Department of Electrical and Electronics Engineering, Korea Maritime and Ocean University, Busan 49112, Korea)

  • Gyung-Suk Kil

    (Department of Electrical and Electronics Engineering, Korea Maritime and Ocean University, Busan 49112, Korea)

  • Hong-Keun Ji

    (Forensic Safety Section, National Forensic Service Busan Institute, Yangsan 50612, Korea)

  • Jong-Hyuk Lee

    (HVDC Production Team, LSIS Co., Ltd., Busan 46739, Korea)

Abstract

With the increasing demand for precise condition monitoring and diagnosis of gas-insulated switchgears (GISs), it has become a challenge to improve the detection sensitivity of partial discharge (PD) induced in the GIS spacer. This paper deals with the elimination of the capacitive component from the phase-resolved partial discharge (PRPD) signal generated in GIS spacers based on discrete wavelet transform (WT). Three types of typical insulation defects were simulated using PD cells. The single PD pulses were detected and were further used to determine the optimal mother wavelet. As a result, the bior6.8 was selected to decompose the PD signal into 8 levels and the signal energy at each level was calculated. The decomposed components related with capacitive disturbance were discarded, whereas those associated with PD were de-noised by a threshold and a thresholding function. Finally, the PRPD signals were reconstructed using the de-noised components.

Suggested Citation

  • Guoming Wang & Gyung-Suk Kil & Hong-Keun Ji & Jong-Hyuk Lee, 2017. "Disturbance Elimination for Partial Discharge Detection in the Spacer of Gas-Insulated Switchgears," Energies, MDPI, vol. 10(11), pages 1-12, November.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:11:p:1762-:d:117357
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    References listed on IDEAS

    as
    1. Min Liu & Ju Tang & Xin Liu & Qiang Yao & Yulong Miao, 2017. "Study on the Characteristic Decomposition Components of DC SF 6 -Insulated Equipment under Positive DC Partial Discharge," Energies, MDPI, vol. 10(5), pages 1-13, May.
    2. Ju Tang & Xu Yang & Dong Yang & Qiang Yao & Yulong Miao & Chaohai Zhang & Fuping Zeng, 2017. "Using SF 6 Decomposed Component Analysis for the Diagnosis of Partial Discharge Severity Initiated by Free Metal Particle Defect," Energies, MDPI, vol. 10(8), pages 1-17, August.
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    Cited by:

    1. Hong-Keun Ji & Guoming Wang & Woo-Hyun Kim & Gyung-Suk Kil, 2018. "Optimal Design of a Band Pass Filter and an Algorithm for Series Arc Detection," Energies, MDPI, vol. 11(4), pages 1-13, April.
    2. Hong-Keun Ji & Guoming Wang & Gyung-Suk Kil, 2020. "Optimal Detection and Identification of DC Series Arc in Power Distribution System on Shipboards," Energies, MDPI, vol. 13(22), pages 1-16, November.

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