Power equipment is an important component in the power system, and its safe and stable operation is crucial. With the development of optoelectronic devices, silicon photomultiplier (SiPM) has become a new choice for built-in partial discharge (PD) detection sensors due to its small size, low driving voltage, high sensitivity, and anti-interference performance. In this paper, an optical sensor based on SiPM is designed and applied to detect typical GIS PD, including corona discharge, creepage discharge, and metallic particle discharge. 2D and 3D point cloud phase-resolved partial discharge (PRPD) spectrums are obtained at different voltage levels. By analyzing the number, phase, and amplitude of the PD pulse and the shape of the point cloud data mapped in different planes, the PD characteristics in multi-dimensions are extracted, which can provide new spectra for the type diagnosis of PD in GIS.

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Multidimensional Spectrum Characterization of Partial Discharge Based on Optical Method

  • Duohu Gong,
  • Qian Shi,
  • Di Niyaer,
  • Chong Wang,
  • Chunlong Ma,
  • Zihan Xu,
  • Zhipeng Lei

摘要

Power equipment is an important component in the power system, and its safe and stable operation is crucial. With the development of optoelectronic devices, silicon photomultiplier (SiPM) has become a new choice for built-in partial discharge (PD) detection sensors due to its small size, low driving voltage, high sensitivity, and anti-interference performance. In this paper, an optical sensor based on SiPM is designed and applied to detect typical GIS PD, including corona discharge, creepage discharge, and metallic particle discharge. 2D and 3D point cloud phase-resolved partial discharge (PRPD) spectrums are obtained at different voltage levels. By analyzing the number, phase, and amplitude of the PD pulse and the shape of the point cloud data mapped in different planes, the PD characteristics in multi-dimensions are extracted, which can provide new spectra for the type diagnosis of PD in GIS.