Integrated Intelligent Energy ›› 2026, Vol. 48 ›› Issue (2): 37-46.doi: 10.3969/j.issn.2097-0706.2026.02.004

• Maintanence and Inspection based on AI • Previous Articles     Next Articles

Study on diffusion characteristics of SF6 gas in GIL pipe gallery under multiple leakage scenarios based on digital twin

XU Changfu1(), ZHAO Xindong1, LIANG Wei1, HE Xing2,*(), BU Yikang2   

  1. 1. Electric Power Research Institute of State Grid Jiangsu Electric Power Company LimitedNanjing 211103, China
    2. Department of Electrical EngineeringShanghai Jiao Tong UniversityShanghai 200240, China
  • Received:2024-06-26 Revised:2024-08-07 Published:2026-02-25
  • Contact: HE Xing E-mail:xuchangfu2000@126.com;hexing_hx@126.com
  • Supported by:
    State Grid Corporation of China(JF2023034)

Abstract:

The internal pipeline in Gas Insulated Transmission Line (GIL)pipeline gallery involves long-distance pipeline transportation in an enclosed environment,posing significant risks in case of gas leaks. The limitations in sensor deployment have led to a relatively single leakage criterion design for a long time. To address this issue,a simulation model of gas diffusion in the pipe gallery was constructed in a virtual environment based on ANSYS software to study the diffusion characteristics of SF6 gas under different leakage scenarios. By simulating the actual working conditions of the Su-Tong GIL pipe gallery and conducting multi-environment and multi-scenario simulations of the GIL digital twin,this study covered various leakage situations. The results provided data support for the design of intelligent algorithms for gas leak detection under different operating conditions and optimization of sensor deployment.

Key words: GIL pipe gallery, SF6 gas leakage, diffusion characteristics, digital twin, intelligent algorithm

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