Simulation calculation of fluid field- thermal field of oil-immersed transformer and optimization of winding structure parameters

The optimization method of winding structure parameters of oil-immersed transformer is proposed to reduce the hot spot temperature of transformer and the metal conductor consumption based on the coupling calculation method of electromagnetic-fluid-thermal. Firstly, a 3-D simulation model is established by using finite element software, and the distribution of the thermal field and the fluid field around the transformer as well as the fluid field and thermal field of the low-voltage winding are obtained. Considering the calculation efficiency and accuracy, a 2-D model of transformer low-voltage winding is established, and the thermal field and flow field distribution of the two models are compared and analyzed. The temperature error was less than 5.98?, which verified the accuracy of the equivalent model. On this basis, combined with Latin hypercube experiment design and thermal field simulation method, the response surface model of winding hot spot temperature and structural parameters is established. Taking the hot spot temperature of low voltage winding and the amount of metal conductor as optimization objectives, the optimal solution set of Pareto is obtained by using NSGS-? optimization algorithm, and two kinds of optimal design results are obtained on the Pareto front surface. The results show that the hot spot temperature is reduced by 4.16% and the metal conductor consumption is reduced by 13.79% in Scheme 1 and the hot spot temperature is reduced by 0.51% and the metal conductor consumption is reduced by 28.46% in Scheme 2. The research results have important guiding significance for the optimization of oil-immersed transformer.

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Publication Details

Journal
Thermal Science
Published
2024-08-05
DOI
https://doi.org/10.2298/tsci240125159y
Citations
2
Primary Topic
Power Transformer Diagnostics and Insulation
Type
article
Field-Weighted Citation Impact
0.42

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article

Simulation calculation of fluid field- thermal field of oil-immersed transformer and optimization of winding structure parameters

Bo Tang, Fating Yuan, Yuqing Jiang, NaiYue Zhang et al.
2 citations
Thermal Science
Power Transformer Diagnostics and Insulation
0.42
article

Simulation calculation of fluid field- thermal field of oil-immersed transformer and optimization of winding structure parameters

Bo Tang, Fating Yuan, Yuqing Jiang, NaiYue Zhang, Lingyun Gu, BoYuan Kuang
article en
2 citations

Abstract

The optimization method of winding structure parameters of oil-immersed transformer is proposed to reduce the hot spot temperature of transformer and the metal conductor consumption based on the coupling calculation method of electromagnetic-fluid-thermal. Firstly, a 3-D simulation model is established by using finite element software, and the distribution of the thermal field and the fluid field around the transformer as well as the fluid field and thermal field of the low-voltage winding are obtained. Considering the calculation efficiency and accuracy, a 2-D model of transformer low-voltage winding is established, and the thermal field and flow field distribution of the two models are compared and analyzed. The temperature error was less than 5.98?, which verified the accuracy of the equivalent model. On this basis, combined with Latin hypercube experiment design and thermal field simulation method, the response surface model of winding hot spot temperature and structural parameters is established. Taking the hot spot temperature of low voltage winding and the amount of metal conductor as optimization objectives, the optimal solution set of Pareto is obtained by using NSGS-? optimization algorithm, and two kinds of optimal design results are obtained on the Pareto front surface. The results show that the hot spot temperature is reduced by 4.16% and the metal conductor consumption is reduced by 13.79% in Scheme 1 and the hot spot temperature is reduced by 0.51% and the metal conductor consumption is reduced by 28.46% in Scheme 2. The research results have important guiding significance for the optimization of oil-immersed transformer.

Thermal ScienceVol. 29(1 Part A)
North China Electric Power University (CN), China Three Gorges University (CN), China Energy Engineering Corporation (China) (CN), China Electric Power Research Institute
Electric Power Research Institute, National Natural Science Foundation of China, China Electric Power Research Institute
Affordable and clean energy
Openalex Percentile: Top 39%
Power Transformer Diagnostics and Insulation
0.42
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