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

Guoming Wang, Gyung-Suk Kil, Hong-Keun Ji and Jong-Hyuk Lee
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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

Energies, 2017, vol. 10, issue 11, 1-12

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.

Keywords: partial discharge (PD); gas-insulated switchgears (GISs); spacer; capacitive component; wavelet transform (WT); multi-resolution analysis (MRA) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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