Due to the complex structure and large size of large-capacity oil-immersed power transformers,it is difficult to predict the winding temperature distribution directly by numerical analysis.A 180 MVA,220 kV oil-immerse...Due to the complex structure and large size of large-capacity oil-immersed power transformers,it is difficult to predict the winding temperature distribution directly by numerical analysis.A 180 MVA,220 kV oil-immersed self-cooling power transformer is used as the research object.The authors decouple the internal fluid domain of the power transformer into four regions:high voltage windings,medium voltage windings,low voltage windings,and radiators through fluid networks and establish the 3D fluidtemperature field numerical analysis model of the four regions,respectively.The results of the fluid network model are used as the inlet boundary conditions for the 3D fluidtemperature numerical analysis model.In turn,the fluid resistance of the fluid network model is corrected according to the results of the 3D fluid-temperature field numerical analysis model.The prediction of the temperature distribution of windings is realised by the coupling calculation between the fluid network model and the 3D fluid-temperature field numerical analysis model.Based on this,the effect of the loading method of the heat source is also investigated using the proposed method.The hotspot temperatures of the high-voltage,medium-voltage,and low-voltage windings are 89.43,86.33,and 80.96°C,respectively.Finally,an experimental platform is built to verify the results.The maximum relative error between calculated and measured values is 4.42%,which meets the engineering accuracy requirement.展开更多
基金National Natural Science Foundation of China,Grant/Award Number:52077047Natural Science Foundation of the Jiangsu Higher Education Institutions of China,Grant/Award Number:22KJA470002。
文摘Due to the complex structure and large size of large-capacity oil-immersed power transformers,it is difficult to predict the winding temperature distribution directly by numerical analysis.A 180 MVA,220 kV oil-immersed self-cooling power transformer is used as the research object.The authors decouple the internal fluid domain of the power transformer into four regions:high voltage windings,medium voltage windings,low voltage windings,and radiators through fluid networks and establish the 3D fluidtemperature field numerical analysis model of the four regions,respectively.The results of the fluid network model are used as the inlet boundary conditions for the 3D fluidtemperature numerical analysis model.In turn,the fluid resistance of the fluid network model is corrected according to the results of the 3D fluid-temperature field numerical analysis model.The prediction of the temperature distribution of windings is realised by the coupling calculation between the fluid network model and the 3D fluid-temperature field numerical analysis model.Based on this,the effect of the loading method of the heat source is also investigated using the proposed method.The hotspot temperatures of the high-voltage,medium-voltage,and low-voltage windings are 89.43,86.33,and 80.96°C,respectively.Finally,an experimental platform is built to verify the results.The maximum relative error between calculated and measured values is 4.42%,which meets the engineering accuracy requirement.
