- ISSN 0258-2724
- CN 51-1277/U
- EI Compendex
- Scopus
- Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
- Chinese S&T Journal Citation Reports
- Chinese Science Citation Database
| Citation: | WANG Tao, ZHANG Zhuang, ZHAO Kangfa, SHAO Kun, YOU Yonghua, YI Zhengming, HE Zhu, WU Da. Numerical Modeling of Dynamic Temperature Field for Air-Cooling Traction Transformers with Forced Oil Circulation[J]. Journal of Southwest Jiaotong University, 2022, 57(5): 976-981, 999. doi: 10.3969/j.issn.0258-2724.20200824
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The thermal dissipation of traction transformers is involved in the conjugate heat transfer between the cooling oil and windings along with the secondary heat release of the heated oil delivered to an oil cooler. To simulate the temporal and spatial temperature variations of traction transformers accurately, the distributed parameter models of traction transformer (including windings and oil) and oil cooler are set up based on the one-dimensional assumption, respectively. The two models are integrated with the lumped parameter ones of oil pump and pipelines. A mathematical model of dynamic temperature field is obtained for the traction transformers. Besides, an iteration algorithm is proposed for the numerical solution. For model validation, a temperature rise experiment is performed on a traction transformer and its cooling system. The results show that the transition time for a stable transformer oil temperature obtained by current model (58 min) meets well with experimental measurement (61 min). The predicted average temperatures of oil and windings under the stable running condition take the discrepancies of 1.3 ℃ and 2.5 ℃ against experimental counterparts, respectively. The current work can be used for the optimal design of traction transformers.
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