Effect of Loads on Temperature Distribution Characteristics of Oil-Immersed Transformer Winding

  • Zhengang Zhao Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650000, China and Yunnan Key Laboratory of Computer Technology Applications, Kunming 650000, China
  • Zhangnan Jiang Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650000, China
  • Yang Li Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650000, China
  • Chuan Li Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650000, China and Yunnan Key Laboratory of Computer Technology Applications, Kunming 650000, China
  • Dacheng Zhang Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650000, China and Yunnan Key Laboratory of Computer Technology Applications, Kunming 650000, China
Keywords: Oil-immersed transformer, winding hot-spot, thermoelectric analogy, thermal model, transformer simulation device.

Abstract

The temperature of the hot-spots on windings is a crucial factor that can limit the overload capacity of the transformer. Few studies consider the impact of the load on the hot-spot when studying the hot-spot temperature and its location. In this paper, a thermal circuit model based on the thermoelectric analogy method is built to simulate the transformer winding and transformer oil temperature distribution. The hot-spot temperature and its location under different loads are qualitatively analyzed, and the hot-spot location is analyzed and compared to the experimental results. The results show that the hot-spot position on the winding under the rated power appears at 85.88% of the winding height, and the hot-spot position of the winding moves down by 5% in turn at 1.3, 1.48, and 1.73 times the rated power respectively.

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Author Biographies

Zhengang Zhao, Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650000, China and Yunnan Key Laboratory of Computer Technology Applications, Kunming 650000, China

Zhengang Zhao received his Bachelor degree in Electronic Science and Technology, Master degree in Microelectronics and Solid State Electronics, and Ph.D. degree in Microelectronics and Solid State Electronics from Harbin Institute of Technology, Harbin, China, in 2005, 2007 and 2012, respectively. He is currently an associate professor in the faculty of Information Engineering and Automation at Kunming University of Science and Technology. He has authored or coauthored over 30 papers in major journals. His current research interests include Optical Fiber Sensing technology and Cyber-Physics Systems modeling.

Zhangnan Jiang, Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650000, China

Zhangnan Jiang was born in Yunnan, China, in 1993. He received the Bachelor of Engineering degree in electrical engineering and automation from Kunming University of Science and Technology, China, in 2015. He is currently pursuing the Master of Engineering degree in instrumentation engineering from Kunming University of Science and Technology. His fields of research interests are mainly focused on fiber bragg grating instrumentation and hot-spot temperature of transformer winding.

Yang Li, Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650000, China

Yang Li was born in Chongqing, China, in 1991. He received the Master of Engineering degree in instrumentation engineering from Kunming University of Science and Technology China, in 2019. His research interests include fiber bragg grating instrumentation and transformer thermal circuit model.

Chuan Li, Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650000, China and Yunnan Key Laboratory of Computer Technology Applications, Kunming 650000, China

Chuan Li, born in 1971, received his doctorate degree in optical engineering from Tianjin University in 2002. On September 18, 2002, he was awarded the 2001 Wang Daheng Award of Chinese Optical Society. In 2008, he was awarded the Academic and Technical Leader of Yunnan Province. At present, he is a professor and doctoral supervisor at Kunming University of Science and Technology, and the chief professor of Information Detection and Processing Innovation Team. His main research interests are sensor development and detection applications.

Dacheng Zhang, Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650000, China and Yunnan Key Laboratory of Computer Technology Applications, Kunming 650000, China

Dacheng Zhang received his Ph.D. degree in Control Systems from Communaut Universit Grenoble Alpes in 2018, Master degree in Electrical & Electronic Engineering from Joseph Fourier University in 2014 and Bachelor degree in Nuclear Engineering from both Grenoble Institute of Technology and North China Electric Power University in 2009. His research interests include stochastic modeling of system, performance deterioration and lifetime assessment.

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Published
2021-10-21
Section
Renewable Power and Energy Systems