Study on Oil Flow Characteristics and Winding Temperature Distribution of Oil-immersed Transformer

Authors

  • Ye Chen Electric Power Research Institute of Yunnan Power Grid Co. Ltd, Kunming 650217, China
  • Chuan Luo Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China
  • Wenjiao Xu Kunming Electric Power Supply Bureau, Kunming 650011, China
  • Guipeng Zhang Yunnan Power Grid Co, Ltd, Kunming 650041, China
  • Biao Tang Electric Power Research Institute of Yunnan Power Grid Co. Ltd, Kunming 650217, China
  • Ling Wei Electric Power Research Institute of Yunnan Power Grid Co. Ltd, Kunming 650217, China
  • Zhengang Zhao Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China

DOI:

https://doi.org/10.13052/dgaej2156-3306.3531

Keywords:

Oil-immersed transformer, fluid-structure coupling, horizontal oil channel, winding temperature rise.

Abstract

The stability and effective functioning of a power grid depend upon the
reliability as well as safety prospects of a transformer which is the principal
component of the power system. The natural oil circulation in the oilimmersed transformer drifts the oil flow by the change in the density which is
again caused by the change in temperature. But the pressure is comparatively
low with respect to the oil pump causing the lower down of velocity which in
turn dissipates unimpressionable heat. In this paper, a noble attempt has been
made to build a natural oil circulation layer-type winding transformer based
on a fluid-solid coupling heat transfer model pertaining to the internal temperature field and flow field by using the fluid mechanics’ simulation software.
In the next stage, the authors have analyzed the temperature distribution, hot spot, position condition of the variable winding, the horizontal the oil channel
width as well as the temperature of the winding transformer. The paper is
of great significance as it examines the influence of the flow characteristics
of oil channel on the winding temperature distribution. The outcome can
significantly improve the structure of heat dissipation and the operating
environment of the transformer.

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Author Biographies

Ye Chen, Electric Power Research Institute of Yunnan Power Grid Co. Ltd, Kunming 650217, China

Ye Chen works at Electric Power Research Institute of Yunnan Power Grid
Co. Ltd. She received a master’s degree in Power systems and automation
from Kunming University of Science and Technology in 2017, engaged in
electric energy, electrical measurement, and thermal engineering professional
work. She is a member of the High-precision Electrical Parameter Laboratory,
Spark Power Research Studio, Intelligent Perception Innovation Studio, and
Key Laboratory of CSG for Electric Power Measurement.

Chuan Luo, Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China

Chuan Luo was born in Sichuan, China, in 1992. He received the B.Eng.
degree from the Institute of Automation and Information Engineering,
Sichuan University of Science & Engineering, Zigong, China, in 2016. He is
currently working toward a Ph.D. degree with the Faculty of Information
Engineering and Automation, Kunming University of Science and Technology, Kunming, China. He is presently working in the fields of optical fiber
sensors and measurement technology.

Wenjiao Xu, Kunming Electric Power Supply Bureau, Kunming 650011, China

Wenjiao Xu obtained a bachelor’s degree in system and automation from
Kunming University of Science and Technology in 2011. He is currently
working in the Kunming Power Supply Bureau of Yunnan Power Grid Co.,
Ltd., and engaging in substation operation.

Guipeng Zhang, Yunnan Power Grid Co, Ltd, Kunming 650041, China

Guipeng Zhang received a double bachelor’s degree in engineering and
administration from Northeast Power University in China. He is a specialist in
the Operation and Equipment Management Department, Yunnan Power Grid
Co., Ltd. He focuses on power supply reliability management and distribution
automation management, and he has been working in transmission lines
management, distribution network management for 12 years.

Biao Tang, Electric Power Research Institute of Yunnan Power Grid Co. Ltd, Kunming 650217, China

Biao Tang, the first-level technical assistant expert of Yunnan Power Grid
Company, is a senior engineer with a master’s degree. His work unit is the
Electric Power Research Institute of Yunnan Power Grid Co., Ltd. His main
research fields include thermal instrument measurement, measurement basis,
and Internet of things technology application of power equipment.

Ling Wei, Electric Power Research Institute of Yunnan Power Grid Co. Ltd, Kunming 650217, China

Ling Wei received a master’s degree in control engineering and control
theory from Kunming University of Science and Technology in 2014. As a
visiting scholar of China and the United States, she went to the United States
for exchange from 2012 to 2013. He works at EPRI of Yunnan Power Grid
Co., Ltd, P.R. China as a senior research fellow in metrology. Her research
interests include power system automation and energy metering

Zhengang Zhao, Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China

Zhengang Zhao was born in Inner Mongolia, China, in 1981. He received the
B.Eng., M.Eng., and Ph.D. degrees in electronic science and technology from
the University of Harbin Institute of Technology, Harbin, China, in 2005,
2007, and 2012, respectively. He is currently a professor with the Faculty of
Information Engineering and Automation, Kunming University of Science
and Technology, Kunming, China. His current research interests include
micronano detection technology, optical fiber sensors, and measurement
technology

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Published

2021-04-17

How to Cite

Chen, Y. ., Luo, C. ., Xu, W. ., Zhang, G. ., Tang, B. ., Wei, L. ., & Zhao, Z. . (2021). Study on Oil Flow Characteristics and Winding Temperature Distribution of Oil-immersed Transformer. Distributed Generation &Amp; Alternative Energy Journal, 35(3), 173–194. https://doi.org/10.13052/dgaej2156-3306.3531

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