Prediction of temperature rise in disc-type transformer windings by dimensional analysis

Meng Gao; Sicheng Zhao; Qiulin Chen; Yan Luo; Ran Zhuo; Mingli Fu; Guoli Wang

doi:10.1117/12.3024698

13 May 2024 Prediction of temperature rise in disc-type transformer windings by dimensional analysis

Meng Gao, Sicheng Zhao, Qiulin Chen, Yan Luo, Ran Zhuo, Mingli Fu, Guoli Wang

Author Affiliations +

Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 131595P (2024) https://doi.org/10.1117/12.3024698
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China

Abstract

The hot-spot temperature of the insulation system has a very important effect on the life of the power transformer, for better management and extending life of transformer, it is important to quickly and accurately predict the heat distribution characteristics with the winding part of the transformer. In this paper, a model based on dimensional analysis method is proposed to predict the thermal characteristics of transformers in real time. Taking a 110 kV oil-immersed power transformer as an example, a CFD model was established based on a complete conjugate heat transfer model, and 34 CFD simulation samples were used to establish the prediction model. The results of 5 randomly selected cases show that the prediction model can accurately predict the hot-pot temperature, and the calculation speed is much faster than that of the CFD model. The conclusion of this paper provides a new idea and method for the fast prediction of transformer temperature.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Meng Gao, Sicheng Zhao, Qiulin Chen, Yan Luo, Ran Zhuo, Mingli Fu, and Guoli Wang "Prediction of temperature rise in disc-type transformer windings by dimensional analysis", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 131595P (13 May 2024); https://doi.org/10.1117/12.3024698

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