THERMAL SCIENCE

International Scientific Journal

Thermal Science - Online First

online first only

Research on temperature rise calculation and hot spot temperature inversion method for oil immersed transformer based on magnetic - thermal - fluid

ABSTRACT
The hot spot temperature of oil-immersed transformer winding is an important factor affecting the aging of material insulation. In this paper, a magnetic field simulation model is established based on the electrical and structural parameters of the oil-immersed transformer, and the loss distribution characteristics of each wall of the transformer core, winding and fuel tank are accurately calculated by using the finite element simulation software. The simulation model of transformer fluid- thermal field is established, the simulation results of transformer thermal field are obtained, and the temperature distribution of oil-immersed transformer core and winding and the flow velocity around it are obtained. According to the simulation results of thermal field, the characteristic temperature measuring points with strong correlation between tank wall and winding temperature were determined. The inversion models of tank wall and winding hot spot temperature were established by using the support vector regression and BP neural network algorithm respectively by central composite design method. The results show that the correlation coefficient of support vector regression algorithm in predicting winding hot spot temperature reaches 0.98, and the relative error between the model predicted value and the real value is less than 8%, which is more accurate than BP neural network. The above research provides the theoretical basis and technical support for real-time monitoring of oil-immersed transformer winding hot spot temperature.
KEYWORDS
PAPER SUBMITTED: 2024-11-20
PAPER REVISED: 2024-01-04
PAPER ACCEPTED: 2024-01-11
PUBLISHED ONLINE: 2024-03-10
DOI REFERENCE: https://doi.org/10.2298/TSCI231120063Y
REFERENCES
  1. Liu H, et al., Calculation of harmonic losses in converter transformer casing based on impedance boundary method, High Voltage Engineering, 41 (2015), 09, pp. 3171-3176.
  2. Zhao Z.G., Wen T. The modeling method of local surface im-pedance in the calculation of stray losses in transformers, Journal of Electrical Engineering Technology, 35 (2020), 22, pp. 4699-4708.
  3. Huang T.C., et al.,The effect of DC bias of converter transformer on eddy current loss in oil tank, Journal of Electrical Technology, 38 (2023), 08, pp. 2004-2014.
  4. Jiang Y.Q., Lin Y.Y. Calculation of eddy current loss in iron core clamps of power transformers, Electrical Technology, 453 (2017), 08, pp. 25-26.
  5. Yuan F.T., et al., Temperature characteristic analysis and radiator optimization of oil immersed transformer based on multiphysics simulation, High Voltage Engineering, 2023, pp. 1-12.
  6. Zhao Z.G., Wen T. The modeling method of local surface im-pedance in the calculation of stray losses in transformers, Journal of Electrical Engineering Technology, 35 (2020), 22, pp. 4699-4708.
  7. Deng Y.Q., et al., Establishment and verification of a hot spot temperature inversion model for 10kV oil immersed transformer windings based on streamline analysis, Chinese Journal of Electrical Engineering, 43 (2023), 08, pp. 3191-3204.
  8. Chen W.G., et al., Calculation of winding temperature distribution of oil immersed transformer based on finite volume method, Power Automation Equipment, 31 (2021), 06, pp. 23-27.
  9. Peker, HA., Cuha, FA., Application of Kashuri Fundo Transform and Homotopy Perturbation Methods to Fractional Heat Transfer and Porous Media Equations, Thermal Science, 26 (2022), 4A, pp. 2877-2884.
  10. Cuha, FA., Peker, HA., Solution of Abel's Integral Equation by Kashuri Fundo Transform, Thermal Science, 26 (2022), 4A, pp. 3003-3010.
  11. Peker, HA., et al., Solving Steady Heat Transfer Problems via Kashuri Fundo Transform, Thermal Science, 26 (2022), 4A, pp. 3011-3017.
  12. Laidoudi, H., et al., Irreversibility Interpretation and MHD Mixed Convection of Hybrid Nanofluids in a 3D Heated Lid-Driven Chamber, Nanomaterials, 12 (2022), 10, pp. 1747-1747.
  13. Herouz K., et al., Analysis of nano-encapsulated phase change material confined in a double lid-driven hexagonal porous chamber with an obstacle under magnetic field, Journal of Energy Storage, 61 (2023), 106736.
  14. Younis O., et al., Thermal pattern of nano-encapsulated PCM in a lid-driven cavity with presence of a heated body, magnetic field and limited permeability, Case Studies in Thermal Engineering, 50 (2023), 103469.
  15. Younis O., et al., Buoyancy-driven flow and thermal activity of nano-enhanced phase change material in inversed U-shaped chamber, Journal of Energy Storage, 61 (2023), 106705.
  16. Laidoudi, H., Chibani,A., Thermal activity of hot bodies trapped inside a moving chamber with a complex fluid under the influence of MHD and buoyancy forces, Numerical Heat Transfer, Part B: Fundamentals, pp. 1-18.
  17. Ni Z.Z., et al., Dynamic inversion method of hot spot temperature of oil immersed transformer based on multiphysics simulation and neural network algorithm, High Voltage Engineering, 2023, pp. 1-12.
  18. Duan C.H., et al., Research on the equivalent method of boundary radiation convection combined heat transfer for transformer temperature field calculation, Journal of Electrical Machinery and Control, 24 (2020), 10, pp. 120-129.
  19. Li Y.C.,et al., Research on support vector machine method for short term load forecasting, Chinese Journal of Electrical Engineering, 6 (2003), pp. 55-59.
  20. Chen B, et al., Model of harmonic losses in windings and cores of high-power intermediate frequency three-phase transformers, High Voltage Engineering, 48 (2022), 08, pp. 3119-3131
  21. Yuan F.T., Optimization design of dry type air-core reactor based on thermal and magnetic combination, PhD thesis, Huazhong University of Sci-ence and Technology, Wuhan, China, 2018.
  22. Du C., Calculation and shielding study of eddy current losses in the oil tank wall of power transformers, MSc thesis, Harbin University of Science and Technology, Harbin, China, 2012.
  23. Tao W.Q., Numerical heat transfer (Second Edition), Xi'an Jiaotong University Press, Xi'an, China, 2001.
  24. Chen W.G., et al., A transformer winding hot spot temperature prediction model based on genetic optimization support vector machine, Journal of Electrical Engineering Technology, 29 (2014), 01, pp. 44-51.
  25. Laidoudi, H., Bouzit, M., Mixed convection in Poiseuille fluid from an asymmetrically confined heated circular cylinder, Thermal Science, 22 (2022), 2, pp. 821-834.
  26. Laidoudi, H., et al., Natural-convection of Newtonian fluids between two concentric cylinders of a special cross-sectional form, Thermal Science, 25 (2021), 5B, pp. 3701-3714.
  27. Houssem L., Natural convection from four circular cylinders in across arrangement within horizontal annular space, Acta Mechanica et Automatica, 14 (2020), 2, pp. 98-102.
  28. Houssem L., Mohamed B., The effect of asymmetrically confined circular cylinder and opposing buoyancy on fluid flow and heat transfer, Defect and Diffusion Forum, 4562 (2017), pp. 18-28.