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Review of Insulation Defect Detection Methods for a Gas-Insulated Switchgear

Author

Listed:
  • Tengfei Li

    (State Grid Shanghai Electric Power Company, Shanghai 200437, China)

  • Qin Xu

    (State Grid Shanghai Electric Power Company, Shanghai 200437, China)

  • Kai Gao

    (State Grid Shanghai Electric Power Company, Shanghai 200437, China)

  • Zhiwen Yuan

    (State Grid Shanghai Electric Power Company, Shanghai 200437, China)

  • Junjie Chen

    (State Grid Shanghai Electric Power Company, Shanghai 200437, China)

  • Chuanyang Li

    (Department of Electrical Engineering, Tsinghua University, Beijing 100084, China)

Abstract

Gas-insulated switchgear (GIS) is a critical component of modern power systems. During operation, internal defects increase the probability of partial discharge and flashover within the insulation system, thereby constituting a major cause of equipment failure. Considering the diversity of existing GIS insulation condition monitoring methods, it is of great significance to systematically review and evaluate current monitoring technologies. This paper summarizes the detection principles and recent advances in electrical, acoustic, optical, modal analysis, and gas component analysis techniques. Through a comparative analysis of the advantages, limitations, and application scenarios of different methods, in conjunction with failure cases induced by typical GIS insulation defects, the primary bottlenecks faced by various condition monitoring technologies are discussed. Furthermore, future research directions for GIS insulation condition detection are outlined. This study provides a reference for the development of GIS insulation monitoring technologies and the formulation of efficient operation and maintenance strategies.

Suggested Citation

  • Tengfei Li & Qin Xu & Kai Gao & Zhiwen Yuan & Junjie Chen & Chuanyang Li, 2026. "Review of Insulation Defect Detection Methods for a Gas-Insulated Switchgear," Energies, MDPI, vol. 19(6), pages 1-21, March.
    • Handle: RePEc:gam:jeners:v:19:y:2026:i:6:p:1491-:d:1896307
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