Multi-granularity Modeling and Simulation Analysis of Transformer Based on Digital Twin
To achieve digital twin of power systems,the multi-granularity modeling idea is integrated into the digital twin modeling theory,since the single granularity model used in the conventional digital twin modeling method cannot meet the requirements of complex systems.Based on this,a digital twinning modeling method is proposed that utilizes multi-granularity and finite element simulation based on COMSOL.Additionally,to address the limitation of the system variable order method in achieving order reduction by deleting key parameters,a system attribute variable order method is introduced.The hierarchical granularity division using the aggregated and disaggregated method is applied to further divide the transformer model into smaller granules.As an example,a 400 kVA transformer is analyzed using the principle of energy conservation to examine its heat transfer characteristics.The magnetic-thermal-current coupling temperature field is then used for simulation calculation to analyze the temperature rise characteristics of the transformer and the simulation time under different granularity.The results show that the coarse-grained model obtained from the system attributes with varying order has shorter simulation time with smaller errors.
digital twinmulti-granularitymodelingmulti-physics field couplingoil-immersed transformer