Electric Power ›› 2025, Vol. 58 ›› Issue (10): 206-215.DOI: 10.11930/j.issn.1004-9649.202411051

• New-Type Power Grid • Previous Articles     Next Articles

Novel Filling Technology for SF6/N2 Mixed Gas GIS Equipment

CHENG Cheng1(), WANG Yibo2, ZHANG Yuan1, HUO Yaojia2, WANG Lizhi1, DING Wuxing3   

  1. 1. Ultrahigh Voltage Company of State Grid Ningxia Electric Power Co., Ltd., Yinchuan 750001, China
    2. Electric Power Scientific Research Institute of State Grid Ningxia Electric Power Co., Ltd., Yinchuan 750011, China
    3. Technology Development Co., Ltd., Beijing 100096, China
  • Received:2024-11-14 Online:2025-10-23 Published:2025-10-28
  • Supported by:
    This work is supported by Science and Technology Project of State Grid Ningxia Electric Power Co., Ltd. (No.5229CG23000J).

Abstract:

To address issues such as slow filling speed and high cost in existing SF6/N2 gas-insulated switchgear (GIS) filling devices, a direct pipeline filling method based on heated-pipeline gas flow control technology is proposed. This approach eliminates the need for built-in mass flow controllers (MFCs). Through theoretical analysis and ANSYS simulations, experimental parameters for the gas flow–temperature rise test platform were determined. A 3-meter heated pipeline was constructed, and gas flow prediction models were established for initial temperature differences of 20 °C and 30 °C. Precise gas flow regulation was achieved using a cascade fuzzy PID controller. Experimental results show that the cascade fuzzy PID controller outperforms the cascade PID controller across all performance metrics. When the initial temperature difference for SF6 is 20 °C or 30 °C and 30 °C for N2, the deviation in the SF6 proportion in the mixed gas remains below 1.0%. A prototype filling device was designed and tested, demonstrating that when the filling pressure exceeds 0.2 MPa, the SF6 proportion deviation complies with the standard DL/T 2243—2021, meeting on-site filling requirements.

Key words: SF6/N2 gas mixture, heating pipes, gas flow prediction, cascade fuzzy PID, inflatable GIS equipment