Fault Detection And Partial Discharge In Gas Insulated Substations: Leveraging Traveling Wave Technology For High Voltage Grid Stability, Safety And Resilience

Authors

  • Devajyoti Patowary Author
  • Dr.Paresh Jain Author

DOI:

https://doi.org/10.64252/qswc0712

Keywords:

Gas Insulated Substations, Partial Discharge Detection, Traveling Wave Technology, Ultra-High Frequency Sensors, Grid Resilience, SF6 Insulation, High Voltage Testing..

Abstract

Modern electrical power systems depend on Gas Insulated Substations (GIS) because they provide miniaturized designs along with excellent reliability and simplified maintenance needs. Maintaining operational integrity in GIS needs advanced monitoring systems which can identify developing breakdowns plus the initial signs of partial discharge events that can cause total system breakdown. This paper investigates the application of traveling wave technology for fault detection and partial discharge monitoring in GIS installations. This paper investigates SF6 partial discharge generation inside insulation systems as well as the electromagnetic wave characteristics within GIS enclosures and methods for using UHF sensors for detection purposes. The analysis investigates existing CIGRE Task Force standard-based protocols for PD sensitivity testing while introducing new methods to improve error localizations in PD measurements. The article explores implementation barriers of traveling wave technology for GIS systems and introduces optimal practices to build complete monitoring solutions which strengthen grid stability alongside enhancing safety features and resilience capabilities. The study confirms that predictive monitoring plays an essential part in lengthening GIS service duration and stopping unexpected outages which results in better grid reliability performance.

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Published

2025-08-20

Issue

Section

Articles

How to Cite

Fault Detection And Partial Discharge In Gas Insulated Substations: Leveraging Traveling Wave Technology For High Voltage Grid Stability, Safety And Resilience. (2025). International Journal of Environmental Sciences, 4837-3850. https://doi.org/10.64252/qswc0712