Error Analysis of Transformer Hot Spot Temperature Measurement

Authors

  • Zhengang Zhao 1Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, Yunnan, China 2Yunnan Key Laboratory of Computer Technology Applications, Kunming, Yunnan, China
  • Zhengyu Yang Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, Yunnan, China
  • Yuyuan Wang Yunnan Institute of Measuring and Testing Technology, Kunming, Yunnan, China
  • Ke Liang Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, Yunnan, China
  • Nengsi Jin Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, Yunnan, China
  • Kaiqiang Shi Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, Yunnan, China
  • Chuan Li 1Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, Yunnan, China 2Yunnan Key Laboratory of Computer Technology Applications, Kunming, Yunnan, China
  • Yingna Li 1Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, Yunnan, China 2Yunnan Key Laboratory of Computer Technology Applications, Kunming, Yunnan, China

DOI:

https://doi.org/10.13052/dgaej2156-3306.3644

Keywords:

Oil immersed transformer, temperature measurement point, temperature difference, boundary node discrete equation.

Abstract

According to the national standard GB/T 1094.7-2008, the method of hot
spot measurement of oil-immersed transformer is used to place several tem-
perature sensors inside the gasket within the predicted hot spot position to
measure the temperature of winding transformer. The highest temperature
measured is regarded as the hot spot temperature of transformer. Since
the winding and gasket are bad conductors of heat, there exists certain
temperature difference between the gasket and the hot spot temperature of
the winding. This temperature difference is not mentioned in the national
standard GB/T 1094.7-2008, which is bound to affect the accuracy of the
transformer hot spot temperature measurement.In order to ensure safe oper-
ation of transformer, the thermal environment of temperature measuring
point is analyzed and the discrete equation of boundary node is estab-
lished. The parameters are set according to the heat transfer mode of the
oil-immersed transformer and the temperature characteristics of each heat transfer node is analyzed. Gauss-Seidel Iteration method is used to calculate
the theoretical value of the measuring point of the oil-immersed transformer
and the heat transfer model of the measuring point is established for fur-
ther analysis. The experimental platform of the oil-immersed transformer
simulator is established according to the method described in the national
standard and used to measure the hot spot temperature and winding sur-
face temperature. The results show that when the winding temperature is
77◦C, the heat transfer model of the temperature measuring point is 74.7◦C
and the experimental temperature of the temperature measuring point is
74.9◦C. The relative error between theoretical calculation temperature and
experimental temperature is 0.27%. As the temperature of the experiment
increases, the temperature difference between the temperature point and
the winding temperature gradually increases, and the maximum absolute
error is 2.1◦C.

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Author Biographies

Zhengang Zhao, 1Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, Yunnan, China 2Yunnan Key Laboratory of Computer Technology Applications, Kunming, Yunnan, 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, respec-
tively. He is currently an associate professor in the faculty of Information
Engineering and Automation at Kunming University of Science and Tech-
nology. 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.

Zhengyu Yang, Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, Yunnan, China

Zhengyu Yang is a master student of control engineering, School of Infor-
mation Engineering and Automation, Kunming University of Science and
Technology. Graduated from North China Electric Power University, major-
ing in automation, with a bachelor’s degree in 2019. Since my master’s
degree, I have been engaged in the research of transformer temperature
rise, electric energy measurement, data analysis and other issues. It has a
deeper understanding of the research status, development trends and existing
problems in the field of electric power.

Yuyuan Wang, Yunnan Institute of Measuring and Testing Technology, Kunming, Yunnan, China

````Yuyuan Wang, born in 1965 in Yunnan, China, graduated from Yunnan
Normal University with a bachelor’s degree in physics in 1987. In 2003, he obtained the qualification of senior engineer. Mainly engaged in electrical
metrology, measurement technology and method research, laboratory tech-
nology management, etc.

Ke Liang, Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, Yunnan, China

Ke Liang was born in Henan, China in 1996.He received his Bache-
lor’s degree in automation from SIAS International College of Zhengzhou
University in 2018. He is currently pursuing the Master of Measurement
Technology and Instrument in Kunming University of Science and Technol-
ogy. His research interests includes hot spot temperature of power equipment
and thermal characteristics of insulating materials.

Nengsi Jin, Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, Yunnan, China

Nengsi Jin was born in Yunnan, China in 1994.He received his Bachelor’s
degree in automation from Yuxi Normal University in 2017. Then he received
the Master’s degree of Control Engineering in Kunming University of Sci-
ence and Technology in 2020. His research interests includes insulation and
transformer temperature monitoring of high-voltage electrical appliances.

Kaiqiang Shi, Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, Yunnan, China

Kaiqiang Shi was born in Shandong, China in 1992. He received his Bache-
lor’s degree in measurement and control technology and instrumentation from
Changchun University of Technology in 2015. Then he received the Master’s
degree of Detection Technology and Automatic Equipment in Kunming
University of Science and Technology in 2019. His research interests includes
the spatial temperature distribution of oil-immersed transformers.

Chuan Li, 1Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, Yunnan, China 2Yunnan Key Laboratory of Computer Technology Applications, Kunming, Yunnan, 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 Pro-
cessing Innovation Team. His main research interests are sensor development
and detection applications.

Yingna Li, 1Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, Yunnan, China 2Yunnan Key Laboratory of Computer Technology Applications, Kunming, Yunnan, China

Yingna Li graduated from the Department of Computer Science and Tech-
nology, Yunnan University in 1996, majoring in software engineering.
In 2005, he went to UNBC to study bilingual teaching in computer science.
In 2009, he obtained the master’s degree of computer application technol-
ogy in our university. He is mainly engaged in sensor network construction,
information integration and intelligent analysis.

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Published

2021-07-28

How to Cite

Zhao, Z., Yang, Z. ., Wang, Y., Liang, K., Jin, N., Shi, K., Li, C., & Li, Y. (2021). Error Analysis of Transformer Hot Spot Temperature Measurement. Distributed Generation &Amp; Alternative Energy Journal, 36(4), 403–424. https://doi.org/10.13052/dgaej2156-3306.3644

Issue

2021: Vol 36 Iss 4

Section

Articles