THERMAL SCIENCE

International Scientific Journal

Fating Yuan

,

Wentao Yang

,

Bo Tang

,

Yue Wang

,

Fa Jiang

,

Yilin Han

,

Li Huang

,

Can Ding

THERMAL OPTIMIZATION RESEARCH OF OIL-IMMERSED TRANSFORMER WINDING BASED ON THE SUPPORT MACHINE RESPONSE SURFACE

ABSTRACT
In this paper, the CFD model is established for the low voltage winding region of an oil-immersed transformer according to the design parameters, and the detailed temperature distribution within the region is obtained by numerical simulation. On this basis, the response surface methodology is adopted to optimize the structure parameters with the purpose of minimizing the hot spot temperature. After a sequence of designed experiments, the second-order polynomial response surface and the support vector machine response surface are established, respectively. The analysis of their errors shows that the support vector machine response surface can be better used to fit the approximation. Finally, the particle swarm optimization algorithm is employed to get the optimal structure parameters of the winding based on the support vector machine response surface. The results show that the optimization method can significantly reduce the hot spot temperature of the winding, which provides a guiding direction for the optimal design of the winding structure of transformers.
KEYWORDS
oil-immersed transformer, hot spot temperature, winding structure optimization, response surface methodology, support vector machine
PAPER SUBMITTED: 2021-05-30
PAPER REVISED: 2021-07-12
PAPER ACCEPTED: 2021-07-24
PUBLISHED ONLINE: 2021-09-04
DOI REFERENCE: https://doi.org/10.2298/TSCI210530264Y
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2022, VOLUME 26, ISSUE Issue 4, PAGES [3427 - 3440]
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Thermal optimization research of oil-immersed transformer winding based on the support machine response surface

© 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