Journal of Shanghai Jiao Tong University ›› 2026, Vol. 60 ›› Issue (7): 1207-1215.doi: 10.16183/j.cnki.jsjtu.2024.435

• New Type Power System and the Integrated Energy • Previous Articles     Next Articles

Degradation Degree Classification of GIS Insulation Surface Defects Based on Mean Value Normalized by Work Function

ZHANG Zhaoqi, SONG Hui(), WANG Zonglin, SHENG Gehao, JIANG Xiuchen   

  1. School of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
  • Received:2024-10-30 Revised:2024-11-12 Accepted:2024-11-25 Online:2026-07-28 Published:2026-08-05
  • Contact: SONG Hui E-mail:songeos@163.com

Abstract:

Insulation surface defects are common defects inside gas insulated switchgear (GIS). The ultra-high frequency (UHF) method is the most widely used method to detect GIS insulation defects in operation. However, as the mechanisms of signal change during defect degradation remain unclear, the amplitudes of UHF signals cannot be directly correlated with the severity of defects, making it difficult to reasonably divide defect degradation stages. An experiment is conducted to measure UHF signals during the degradation of insulation surface defects and the change mechanism of UHF signals is explored through simulation. Then, a method is proposed to divide the degradation stages of surface defects based on the normalized mean of work function according to the simulation results of UHF signals at different degradation stages. The findings suggest that the surface work function is closely related to the number of discharge pulses and the UHF mean values during the degradation. The UHF mean values normalized by the work function can be used as a criterion for dividing the defect degradation stages into three categories: low, medium, and high. It is verified that the proposed method can effectively divide the insulation surface defect degradation process.

Key words: insulation surface defect, degradation, work function, ultra-high frequency (UHF) mean, discharge simulation

CLC Number: