基于数字孪生的GIS双断口隔离开关温升快速预测方法OA

Aiming at digital twin applications,and focusing on the temperature rise characteristics and online simulation requirements of 110 kV three-phase common-box GIS double-fracture disconnect switch(DDS),this paper proposes a hybrid modeling method based on electromagnetic-fluid-thermal multi-physics coupling and proper orthogonal decompo-sition(POD)reduced-order modeling.Firstly,a detailed physical model including dynamic contacts,static contacts,and the SF6 gas chamber was constructed using finite volume method.The steady-state temperature-rise distribution analysis was performed under various loads(0.3 to 1.1 times rated current)and contact pressures(30 to 150 N).The results indi-cate that the average temperature rise of phase B conductors is about 2 K higher than that of phase A and C due to the heat accumulation effect at the middle position.When the contact pressure decreases from 150 N to 30 N,the local tempera-ture rise increases by 55.1％.Subsequently,123 sets of loss data for key heat-generating components were generated using Latin hypercube sampling.The main modes of the temperature field were extracted via the POD method,and an 8th-order reduced-order model was constructed.The root mean square error(RMSE)is below 0.01％,with a maximum error below 0.131 K.Compared with the full-order model,the solution time is reduced from 23 500 s to 0.8 s,improving calculation efficiency by approximately 2.9× 104 times,which fully satisfies the real-time requirements of digital twins.Finally,the reduced-order model was integrated into an IoT-driven digital twin platform,achieving 3D dynamic visualization and re-al-time temperature contours display for gas insulated switchgear(GIS).The results provide efficient and accurate technical supports for fault early-warning and online monitoring in intelligent operation and maintenance.The method provides a theoretical and practical foundation for the design optimization and digital operation and maintenance of high-voltage switchgear.