International Scientific Journal


In this paper, a coupled flow-thermal field simulation model is established based on the parameters of the transformer. Then the distribution of the flow and thermal fields are obtained. The results show that oil backflow occurs to varying degrees at the top and bottom of the transformer. In addition, with the formation of backflow, the hot spot temperature of the transformer increases. Through the combination of orthogonal experiments and finite element method, the geometric structure of winding oil passage is selected as the optimization variable. The law between the winding structure and the maximum temperature is acquired by means of range and variance analysis, and the optimal parameters are obtained. The hot spot temperature is reduced by 34.27 K compared to the pre-optimization period, which is a guideline for the design of transformers.
PAPER REVISED: 2021-12-10
PAPER ACCEPTED: 2021-12-21
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2022, VOLUME 26, ISSUE Issue 4, PAGES [3241 - 3253]
  1. GB/T 1094. 7-2008 Power transformers - Part 7: Loading guide for oil-immersed power transformers
  2. Liu, H.J., Zhang, D.D., Li, W., et al. Finite Element Analysis for Temperature Field of Winding in Large Oil-immersed Transformer
  3. I, S., IEEE Guide for Loading Mineral-Oil-Immersed Transformers
  4. Iskender, I., Mamizadeh, A., An improved nonlinear thermal model for MV/LV prefabricated oil-immersed power transformer substations
  5. Chen, W.G., Pan, C., Yun, Y.X., Power transformer top‐oil temperature model based on thermal-electric analogy theory
  6. Yuan, F.T., Tang, B., Ding, C., et al., Optimization Design of Oil-Immersed Air Core Coupling Reactor for a 160 kV Mechanical Direct Current Circuit Breaker
  7. E. Mechkov, R. Tzeneva, V. Mateev, etal., Thermal analysis using 3D FEM model of oil-immersed distribution transformer
  8. Santisteban A, Delgado F, Ortiz A, et al. Numerical analysis of the hot-spot temperature of a power transformer with alternative dielectric liquids
  9. Dasara S, Mishra V P. Shielding measures of Power Transformer to mitigate stray loss and hot spot through coupled 3-D FEA
  10. Yuan, F.T., Yuan, Z., et al., Thermal optimization for nature convection cooling performance of air core reactor with the rain cover
  11. Wu, W., Wang, Z. D., Revell, A., et al., Computational fluid dynamics calibration for network modelling of transformer cooling oil flows - part I heat transfer in oil ducts
  12. Mahdy, B.E., et al., Conduction Problems in SF6 Gas Cooled-Insulated Power Transformers Solved by the Finite-Element Method
  13. Hyun, W.J., et al., Analysis of temperature rise for piezoelectric transformer using finite-element method
  14. Yuan, F.T., Lv, K., Qin, S.H, et al., Electromagnetic-Thermal Characteristics Analysis of Dry-Type Core Reactor and Optimization Design Based on the Particle Swarm Algorithm
  15. Zhang, C.F., Zhao, Y.Z., Ma, X.K., Optimal design of dry-type air-core reactor using diversity-guided particle swarm optimization algorithm
  16. Qing, H., et al., Prediction of Top-Oil Temperature for Transformers Using Neural Networks
  17. Zhou, L.J., Wang, J., Wang L.J., et al., Data Driven Prediction for Traction Transformer Hot-spot Temperature in High Speed Railway
  18. Xiong, H., Chen, W.G., Du, L., et al., Study on Prediction of Top-oil Temperature for Power Transformer Based on T-S Model
  19. Smolka, J., Nowak, A.J., Shape Optimization of Coils and Cooling Ducts in Dry-Type Transformers Using Computational Fluid Dynamics and Genetic Algorithm
  20. Yuan, F.T., Yang, S.W., Qin, S.H., et al., Thermal performance analysis and optimization design of dry type air core reactor with the double rain cover
  21. Luo, S.G., Jin, H.J., Test Design and Data Processing
  22. Si, S.K., Mathematical Modeling

© 2024 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence