Risk assessment of gas leakage and elimination in GIL utility tunnels based on digital twin technology
DOI:10.19783/j.cnki.pspc.240636
Key Words:Su-Tong GIL utility tunnel  digital twin  SF6 gas  gas diffusion behavior  deduction
Author NameAffiliation
XU Changfu1 1. State Grid Jiangsu Electric Power Research Institute, Nanjing 211103, China
2. Shanghai Jiao Tong University, Shanghai 200240, China 
ZHAO Xindong1 1. State Grid Jiangsu Electric Power Research Institute, Nanjing 211103, China
2. Shanghai Jiao Tong University, Shanghai 200240, China 
LIANG Wei1 1. State Grid Jiangsu Electric Power Research Institute, Nanjing 211103, China
2. Shanghai Jiao Tong University, Shanghai 200240, China 
HE Xing2 1. State Grid Jiangsu Electric Power Research Institute, Nanjing 211103, China
2. Shanghai Jiao Tong University, Shanghai 200240, China 
BU Yikang2 1. State Grid Jiangsu Electric Power Research Institute, Nanjing 211103, China
2. Shanghai Jiao Tong University, Shanghai 200240, China 
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Abstract:To address the challenges posed by the complex distribution of sulfur hexafluoride (SF6) gas leakage in gas-insulated transmission line (GIL) utility tunnels, this paper proposes a simulation-based risk assessment approach based on digital twin technology. Firstly, a general exclusion plan for large-scale gas leakage is summarized based on the actual working conditions of the Su-Tong GIL utility tunnel and the deployment of the ventilation system. Then, based on the physical process and mathematical mechanism of SF6 gas leakage, a digital twin model of the utility tunnel is constructed in virtual space, and the constraints of gas leakage are set. Secondly, by simulating the diffusion distribution of large-scale SF6 gas leakage in the twin space, the distribution data of SF6 during the exclusion process is deduced and visualized. Finally, combining the visualization results of each stage, a full-process risk assessment of gas leakage in the GIL utility tunnel is carried out, providing a reference for formulating safe evacuation plans and achieving intelligent monitoring in the corridor.
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