The SOUFVM and SUFEM Hybrid Computational Method for Flow-Heat Coupling Analysis of Oil-Immersed Power Transformer Windings
Xin Jiwei1, Li Lin1, Liu Gang2
1. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing 102206 China; 2. Hebei Provincial Key Laboratory of Power Transmission Equipment Security Defense North China Electric Power University Baoding 071003 China
Abstract:With the continuous development of power systems, oil-immersed power transformers, as key power equipment, are experiencing rising winding temperatures, which has become a core factor affecting their safe and stable operation. Studies show that excessively high hotspot temperatures in windings can directly cause transformer failures. Therefore, accurately calculating the windings' temperature distribution and hotspot temperatures is crucial. Traditional temperature-rise calculation methods often struggle to balance numerical accuracy, stability, and computational complexity when dealing with the coupled, complex flow and temperature fields inside transformers. Combined with the second-order upwind finite volume method (SOUFVM) and the streamline upwind finite element method (SUFEM), this paper proposes a coupled flow-heat calculation method to eliminate the non-physical oscillations arising from the classical Galerkin finite element method when solving convection- diffusion equations. To avoid additional interpolation operations in staggered grids, the second-order upwind finite-volume method on structured collocated grids is used to solve the flow-field control equations, thereby obtaining the oil flow velocity distribution. The streamline upwind finite element method is employed to solve the unified temperature field equation for oil flow and winding heat transfer, thereby obtaining the temperature rise distribution. The proposed coupling calculation method is applied to a two-dimensional single-region winding simulation model of an oil-immersed power transformer, with a rated capacity of 321.1 MV·A and a rated voltage of 530/$\sqrt{3}$ kV. The distributions of oil flow and temperature rise are calculated. The results indicate that the proposed method achieves higher numerical accuracy than the Galerkin finite element method. Compared with fluent software, the absolute errors (relative errors) for the peak oil flow velocity and the hotspot temperature are 0.000 8 m/s (1.38%) and 2.06 K (0.6%), respectively. Overall, the relative error of this method remains within 2%. In summary, the coupled flow-heat calculation method proposed in this paper integrates the advantages of finite volume and finite element methods, overcoming the shortcomings of existing numerical methods in handling complex geometries and flow-structure coupling problems. This method effectively solves the problem of calculating temperature rise in transformer windings and also provides strong technical support for other complex multiphysics coupling problems. With the continuous advancement of computer technology, this method has broad application prospects in the multiphysics simulation software for power equipment. It is expected to play an essential role in promoting the intelligent and accurate development of high-voltage power equipment simulation software.
辛纪威, 李琳, 刘刚. SOUFVM和SUFEM混合计算方法与油浸式电力变压器绕组流热耦合分析[J]. 电工技术学报, 2026, 41(6): 1844-1859.
Xin Jiwei, Li Lin, Liu Gang. The SOUFVM and SUFEM Hybrid Computational Method for Flow-Heat Coupling Analysis of Oil-Immersed Power Transformer Windings. Transactions of China Electrotechnical Society, 2026, 41(6): 1844-1859.
[1] Li Yan, Meng Tiannan, Li Ziwei, et al.Research on the influence of uneven temperature distribution of transformer windings on short circuit strength[J]. IEEE Transactions on Applied Superconductivity, 2024, 34(8): 5501604. [2] Liu Xingmou, Yang Yongming, Yang Fan, et al.Numerical research on the losses characteristic and hot-spot temperature of laminated core joints in transformer[J]. Applied Thermal Engineering, 2017, 110: 49-61. [3] Mikhak-Beyranvand M, Faiz J, Rezaei-Zare A, et al.Electromagnetic and thermal behavior of a singlephase transformer during Ferroresonance considering hysteresis model of core[J]. International Journal of Electrical Power & Energy Systems, 2020, 121: 106078. [4] 闻新, 战泓廷, 王戬, 等. 基于改进PSO-LSTM模型的变压器绕组热点温度预测研究[J]. 电气工程学报, 2025, 20(5): 352-361. Wen Xin, Zhan Hongting, Wang Jian, et al.Research on transformer winding hot spot temperature prediction based on improved PSO-LSTM model[J]. Journal of Electrical Engineering, 2025, 20(5): 352-361. [5] Feng Xinyan, Zhang Da, Zhao Tingzhi, et al.Magnetic-thermal-flow field coupling simulation of oil-immersed transformer[J]. IEEE Access, 2024, 12: 65462-65470. [6] Abdali A, Abedi A, Masoumkhani H, et al.Magneticthermal analysis of distribution transformer: validation via optical fiber sensors and thermography[J]. International Journal of Electrical Power & Energy Systems, 2023, 153: 109346. [7] Nicola M, Nicola C I, Sacerdoţianu D, et al.Monitoring system for power transformer windings hot spot temperature using fiber optic sensors, Kalman filter and integration in SCADA system[J]. American Journal of Signal Processing, 2018, 8(2): 33-44. [8] Tang Pengfei, Zhang Zhonghao, Tong Jie, et al.Predicting transformer temperature field based on physics-informed neural networks[J]. High Voltage, 2024, 9(4): 839-852. [9] Chandran L R, Ajith Babu G S, Nair M G, et al. A review on status monitoring techniques of transformer and a case study on loss of life calculation of distribution transformers[J]. Materials Today: Proceedings, 2021, 46: 4659-4666. [10] IEEE Guide for Loading Mineral-Oil-Immersed Transformers: C57.91—1995[S]. Institute of Electrical and Electronics Engineers, 1995. [11] Chen Weigen, Pan Chong, Yun Yuxin.Power transformer top-oil temperature model based on thermal-electric analogy theory[J]. European Transactions on Electrical Power, 2009, 19(3): 341-354. [12] 刘刚, 胡万君, 郝世缘, 等. 油浸式变压器绕组瞬态温升降阶快速计算方法[J]. 电工技术学报, 2024, 39(3): 643-657. Liu Gang, Hu Wanjun, Hao Shiyuan, et al.Reduced order calculation method of steady temperature rise of oil immersed power transformer[J]. Transactions of China Electrotechnical Society, 2024, 39(3): 643-657. [13] 谭又博, 余小玲, 臧英, 等. 谐波电流对换流变压器绕组损耗及温度分布特性的影响[J]. 电工技术学报, 2023, 38(2): 542-553. Tan Youbo, Yu Xiaoling, Zang Ying, et al.The influence of harmonic current on the loss and temperature distribution characteristics of a converter transformer winding[J]. Transactions of China Electrotechnical Society, 2023, 38(2): 542-553. [14] 邓永清, 阮江军, 董旭柱, 等. 基于流线分析的10kV油浸式变压器绕组热点温度反演模型建立及验证研究[J]. 中国电机工程学报, 2023, 43(8): 3191-3204. Deng Yongqing, Ruan Jiangjun, Dong Xuzhu, et al.Establishment and verification of 10kV oil immersed transformer winding hot spot temperature inversion model based on streamline analysis[J]. Proceedings of the CSEE, 2023, 43(8): 3191-3204. [15] Xiao Jiayi, Zhang Zhanlong, Hao Yuefeng, et al.Method for measuring thermal flow field distribution in oil-immersed transformer using dynamic heat transfer coefficient[J]. IEEE Transactions on Instrumentation and Measurement, 2024, 73: 9002011. [16] 王永强, 马伦, 律方成, 等. 基于有限差分和有限体积法相结合的油浸式变压器三维温度场计算[J]. 高电压技术, 2014, 40(10): 3179-3185. Wang Yongqiang, Ma Lun, Lü Fangcheng, et al.Calculation of 3D temperature field of oil immersed transformer by the combination of the finite element and finite volume method[J]. High Voltage Engineering, 2014, 40(10): 3179-3185. [17] Star S K, Sanderse B, Stabile G, et al.Reduced order models for the incompressible Navier-Stokes equations on collocated grids using a ‘discretize-then-project’ approach[J]. International Journal for Numerical Methods in Fluids, 2021, 93(8): 2694-2722. [18] Nie J H, Li Zengyao, Wang Qiuwang, et al.A method for viscous incompressible flows with a simplified collocated grid system[C]//Proceeding of Proceedings of Symposium on Energy Engineering in the 21st Century, Hong Kong, China, 2023: 177-183. [19] Ferziger J H, Perić M.Computational methods for fluid dynamics[M]. New York: Springer, 2002. [20] Bharadwaj A S.Addressing the checkerboard problem in an Eulerian meshless method for incompressible flows[J]. arXiv Preprint, 2023: 2307.09778. [21] 刘刚, 靳艳娇, 马永强, 等. 基于非平均热源的油浸式变压器2维温度场分析[J]. 高电压技术, 2017, 43(10): 3361-3370. Liu Gang, Jin Yanjiao, Ma Yongqiang, et al.Twodimensional temperature field analysis of oilimmersed transformer based on non-uniformly heat source[J]. High Voltage Engineering, 2017, 43(10): 3361-3370. [22] Hendriana D, Bathe K J.On upwind methods for parabolic finite elements in incompressible flows[J]. International Journal for Numerical Methods in Engineering, 2000, 47(1/2/3): 317-340. [23] 彭丽丹. 电力变压器温度场数值计算研究[D]. 北京: 华北电力大学, 2016. Peng Lidan.The numerical calculation research on the temperature field of power transformer[D]. Beijing: North China Electric Power University, 2016. [24] 刘刚, 郝世缘, 胡万君, 等. 基于子循环自适应串行交错时间匹配算法的油浸式变压器绕组瞬态温升计算[J]. 电工技术学报, 2024, 39(4): 1185-1197. Liu Gang, Hao Shiyuan, Hu Wanjun, et al.Transient temperature rise calculation of oil immersed transformer winding based on sub cyclic adaptive staggered time matching algorithm[J]. Transactions of China Electrotechnical Society, 2024, 39(4): 1185-1197. [25] 谢裕清. 油浸式电力变压器流场及温度场耦合有限元方法研究[D]. 北京: 华北电力大学, 2017. Xie Yuqing.Study on flow field and temperature field coupling finite element methods in oil-immersed power transformer[D]. Beijing: North China Electric Power University, 2017. [26] 明平剑, 张文平. 计算多物理场: 有限体积方法应用[M]. 北京: 北京航空航天大学出版社, 2015. [27] Moukalled F, Mangani L, Darwish M.The Finite Volume Method in Computational Fluid Dynamics[M]. Cham: Springer International Publishing, 2016. [28] Khosla P K, Rubin S G.A diagonally dominant second-order accurate implicit scheme[J]. Computers & Fluids, 1974, 2(2): 207-209. [29] Ghia U, Ghia K N, Shin C T.High-Re solutions for incompressible flow using the Navier-Stokes equations and a multigrid method[J]. Journal of Computational Physics, 1982, 48(3): 387-411. [30] 刘刚, 高成龙, 胡万君, 等. 基于鲸鱼优化算法超参数优化的径向基函数响应面模型的油浸式变压器绕组挡板结构优化[J]. 电工技术学报, 2024, 39(17): 5331-5343. Liu Gang, Gao Chenglong, Hu Wanjun, et al.Optimization of winding block washer structure for oil immersed transformers based on radial basis function response surface model with whale optimization algorithm hyper-parameters optimization[J]. Transactions of China Electrotechnical Society, 2024, 39(17): 5331-5343. [31] 陶文铨. 数值传热学[M]. 2版. 西安: 西安交通大学出版社, 2001. [32] Zienkiewicz O C, Taylor R L, Nithiarasu P.The Finite Element Method for Fluid Dynamics[M]. 7th ed. Amsterdam: Elsevier, 2014 [33] 王泽忠. 简明电磁场数值计算[M]. 北京: 机械工业出版社, 2011. [34] 王立, 喻高明, 傅宣豪, 等. 基于反距离加权插值法的产量劈分新方法[J]. 断块油气田, 2018, 25(5): 617-621. Wang Li, Yu Gaoming, Fu Xuanhao, et al.New method for production cleavage by inverse distance weighted interpolation[J]. Fault-Block Oil & Gas Field, 2018, 25(5): 617-621. [35] 刘刚, 胡万君, 刘云鹏, 等. 降阶技术与监测点数据融合驱动的油浸式变压器绕组瞬态温升快速计算方法[J]. 电工技术学报, 2024, 39(19): 6162-6174. Liu Gang, Hu Wanjun, Liu Yunpeng, et al.A fast calculation method for transient temperature rise of oil immersed transformer windings driven by fusion of order reduction technology and monitoring point data[J]. Transactions of China Electrotechnical Society, 2024, 39(19): 6162-6174. [36] 宋浩永, 黄青丹, 陈于晴, 等. 110 kV环保型天然酯绝缘油变压器绕组的温度场分析[J]. 高压电器, 2024, 60(5): 117-123. Song Haoyong, Huang Qingdan, Chen Yuqing, et al.Temperature field analysis of windings of natural ester insulating oil-immersed transformer 110 kV environment friendly[J]. High Voltage Apparatus, 2024, 60(5): 117-123. [37] 刘刚, 郝世缘, 朱章宸, 等. 基于动态模态分解-自适应变步长油浸式电力变压器绕组瞬态温升快速计算方法[J]. 电工技术学报, 2024, 39(12): 3895-3906. Liu Gang, Hao Shiyuan, Zhu Zhangchen, et al.Research on rapid calculation method of transient temperature rise of winding of dynamic mode decomposition-adaptive time stepping oil-immersed power transformer[J]. Transactions of China Electrotechnical Society, 2024, 39(12): 3895-3906. [38] 谢裕清, 李琳, 宋雅吾, 等. 油浸式电力变压器绕组温升的多物理场耦合计算方法[J]. 中国电机工程学报, 2016, 36(21): 5957-5965, 6040. Xie Yuqing, Li Lin, Song Yawu, et al.Multi-physical field coupled method for temperature rise of winding in oil-immersed power transformer[J]. Proceedings of the CSEE, 2016, 36(21): 5957-5965, 6040.