高电压技术2025，Vol.51Issue(10)：5253-5261,9.DOI:10.13336/j.1003-6520.hve.20250085
基于区域分解的油浸式变压器二维流-热场计算
Calculation of Two-dimensional Flow-thermal Field of Oil-immersed Transformer Based on Regional Decomposition
摘要
Abstract
Oil-immersed transformers are critical equipment in power systems for transmitting and distributing electrical energy,and their normal operation is essential for the stability and reliability of the power system.To improve the compu-tational efficiency of fluid-thermal simulation for oil-immersed transformers,this paper proposes a parallel computing method for fluid-thermal fields based on domain decomposition.First,the Schwarz overlapping domain decomposition method combined with the finite element method is employed for computation.Instead of traditional domain decomposi-tion software like METIS,the centroid coordinates of finite element mesh cells are used to decompose the domain,ensuring more uniform subdomain sizes and better control over the overlapping area.Computational efficiency is further enhanced by optimizing the number of subdomains and the size of the overlapping regions.Second,the parallel pool function in MATLAB is utilized to implement MPI-based parallel computing.Finally,a steady-state fluid-thermal calcu-lation model for an oil-immersed transformer is established to validate the effectiveness of the proposed method.The fluid field is solved by using the least-squares finite element method with a two-sided balancing preconditioner,while the tem-perature field is solved by using the upwind finite element method.The results show that the computation time is reduced by 40.3％for the fluid field and by 56.4％for the temperature field,effectively improving the simulation speed for trans-former fluid-thermal analysis.关键词
变压器流热仿真/有限元计算/二维稳态/区域分解/并行计算Key words
transformer fluid-thermal coupling/finite element calculations/two-dimensional steady state/domain de-composition/parallel computin引用本文复制引用
刘刚,杨朔侨,马睿智,霍鹏,刘云鹏,武卫革..基于区域分解的油浸式变压器二维流-热场计算[J].高电压技术,2025,51(10):5253-5261,9.基金项目
国家自然科学基金(U23B20135).Project supported by National Natural Science Foundation of China(U23B20135). （U23B20135）
