袁发庭, 张乃月, 匡柏源, 张仁杰, 江宇晴, 唐波. 基于多孔介质的油浸式变压器磁场-流场-温度场仿真计算及热点温度反演预测[J]. 高电压技术, 2025, 51(1): 62-74. DOI: 10.13336/j.1003-6520.hve.20240825
引用本文: 袁发庭, 张乃月, 匡柏源, 张仁杰, 江宇晴, 唐波. 基于多孔介质的油浸式变压器磁场-流场-温度场仿真计算及热点温度反演预测[J]. 高电压技术, 2025, 51(1): 62-74. DOI: 10.13336/j.1003-6520.hve.20240825
YUAN Fating, ZHANG Naiyue, KUANG Boyuan, ZHANG Renjie, JIANG Yuqing, TANG Bo. Simulation Calculation of Magnetic-Fluid-Thermal Field of Oil-immersed Transformer Based on Porous Media and Prediction of Hot Spot Temperature Inversion[J]. High Voltage Engineering, 2025, 51(1): 62-74. DOI: 10.13336/j.1003-6520.hve.20240825
Citation: YUAN Fating, ZHANG Naiyue, KUANG Boyuan, ZHANG Renjie, JIANG Yuqing, TANG Bo. Simulation Calculation of Magnetic-Fluid-Thermal Field of Oil-immersed Transformer Based on Porous Media and Prediction of Hot Spot Temperature Inversion[J]. High Voltage Engineering, 2025, 51(1): 62-74. DOI: 10.13336/j.1003-6520.hve.20240825

基于多孔介质的油浸式变压器磁场-流场-温度场仿真计算及热点温度反演预测

Simulation Calculation of Magnetic-Fluid-Thermal Field of Oil-immersed Transformer Based on Porous Media and Prediction of Hot Spot Temperature Inversion

  • 摘要: 油浸式变压器绕组热点温度是影响材料绝缘老化的重要因素。该文基于油浸式变压器的电气和结构参数,建立了变压器3维等效仿真模型,通过磁场计算准确得到油箱各壁面的损耗值。采取传统等效模型和多孔介质等效模型,对两种等效模型的流场-温度场分布进行计算,得到变压器温度场仿真结果,获得了油浸式变压器铁芯和绕组温度及周围流体流速分布。为减小漏磁通在油箱壁面产生的损耗,降低变压器整体温升,在油箱壁面分别施加电、磁屏蔽板,计算两种屏蔽对油箱壁面损耗值的影响,根据计算结果,得到磁屏蔽的屏蔽效果更佳,并对施加屏蔽位置继续进行研究。根据温度场计算结果,确定与绕组温度具有强关联的油箱壁面中部特征点与底层油温特征点,通过中心复合设计法,分别建立两种情况下的温度反演模型。结果表明,选取底层油温特征点不仅数量小,且在大型变压器中较容易实现,在预测绕组热点温度方面相关系数达到0.95以上,预测准确性更高。该文研究为油浸式变压器绕组热点温度的实时监测提供了理论依据和技术支撑。

     

    Abstract: The hot spot temperature of oil-immersed transformer winding is an important factor affecting the aging of material insulation. Based on the electrical and structural parameters of the oil-immersed transformer, a 3D equivalent simulation model of the transformer was established, and the loss values of each wall of the oil tank are accurately obtained by calculating the magnetic field. Moreover, the traditional equivalent model and porous medium equivalent model were used to calculate the flow field-temperature distribution of the two equivalent models, and the simulation results of the transformer temperature field were obtained. The temperature distribution of the core and winding of the oil-immersed transformer and the flow velocity around the transformer were obtained. Furthermore, in order to reduce the loss caused by leakage flux on the tank wall and reduce the overall temperature rise of the transformer, electric and magnetic shielding plates were applied to the tank wall, respectively, and the influence of the two types of shielding on the tank wall loss value was calculated. According to the calculation results, the shielding effect of magnetic shielding was better, and the shielding position was further studied. According to the calculation results of the temperature field, the characteristic points in the middle of the tank wall and the bottom oil temperature, which have strong correlation with the winding temperature, are determined. The results show that the selection of the bottom oil temperature feature points is not only small in number, but also easy to achieve in large transformers, and the correlation coefficient of predicting the winding hot spot temperature is more than 0.95, and the prediction accuracy is higher. This study provides a theoretical basis and technical support for real-time monitoring of hot spot temperature in oil-immersed transformer windings.

     

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