Effect of Loads on Temperature Distribution Characteristics of Oil-Immersed Transformer Winding
DOI:
https://doi.org/10.13052/dgaej2156-3306.3728Keywords:
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 ana-
lyzed 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.
Downloads
References
Chochowski, A. and Obstawski, P., 2017. The use of thermal-electric
analogy in solar collector thermal state analysis. Renewable & Sustain-
able Energy Reviews, 68, 397–409.
Godina, R., Rodrigues, E. M. G., Matias, J. C. O., and Catalao, J. P.
S., 2015. Effect of Loads and Other Key Factors on Oil-Transformer
Ageing: Sustainability Benefits and Challenges. Energies, 8(10), 12147–
Hamzeh, M., Vahidi, B., and Askarianabyaneh, H., 2015. Reliability
evaluation of distribution transformers with high penetration of dis-
tributed generation. International Journal of Electrical Power & Energy
Systems, 73, 163–169.
Hong, K., Huang, H., and Zhou, J., 2015. Winding Condition Assess-
ment of Power Transformers Based on Vibration Correlation. IEEE
Transactions on Power Delivery, 30(4), 1735–1742.
Li, N., 2017. Analysis of Transformer Oil Temperature and Winding
Temperature. Henan Science and Technology, 21, 92–93.
Lobo Ribeiro, A. B., Eira, N. F., Sousa, J. M., Guerreiro, P. T., and
Salcedo, J. R., 2008. Multipoint Fiber-Optic Hot-Spot Sensing Network
Integrated Into High Power Transformer for Continuous Monitoring.
IEEE Sensors Journal, 8(7), pp. 1264–1267.
Pylvanainen, J., Nousiainen, K., and Verho, P., 2007. Studies to Utilize
Loading Guides and ANN for Oil-Immersed Distribution Transformer
Condition Monitoring. IEEE Transactions on Power Delivery, 22(1),
–207.
Radakovic, Z. R. and Sorgic, M., 2010. Basics of Detailed Thermal-
Hydraulic Model for Thermal Design of Oil Power Transformers. IEEE
Transactions on Power Delivery, 25(2), 790–802.
Susa, D., Lehtonen, M., and Nordman, H.,2005. Dynamic thermal mod-
elling of power transformers. IEEE Transactions on Power Delivery,
(1), 197–204
Swift, G., Molinski, T. S., Bray, R., and Menzies, R., 2001. A Fun-
damental Approach to Transformer Thermal Modeling–Part II: Field
Verification. IEEE Transactions on Power Delivery, 16(2), 176–180.
Swift, G., Molinski, T. S., and Lehn, W., 2001. A Fundamental
Approach to Transformer Thermal Modeling–Part I: Theory and Equiv-
alent Circuit. IEEE Transactions on Power Delivery, 16(2), 171–175.
Taheri, A. A., Abdali, A., and Rabiee, A., 2019. A Novel Model for
Thermal Behavior Prediction of Oil-Immersed Distribution Transform-
ers With Consideration of Solar Radiation. IEEE Transactions on Power
Delivery, 34(4), 1634–1646.
Ukil, A., Braendle, H., and Krippner, P., 2012. Distributed Temperature
Sensing: Review of Technology and Applications. IEEE Sensors, 12(2),
–892.
Wei, B., Huang, H., Fu, C., LI, H., and Liu, J., 2012. Algorithm for
Transformer Top-Oil Temperature and Winding Hot-Point Temperature
Based on Modified Thermal Circuit Model. East China Electric Power,
(03), 444–447.
Zhang Y., 2017. On-line monitoring and intelligent protection of trans-
former winding temperature. Power information, 2017(12), 217–218.
Zhao, Z., Gao, L., Li, C., Li, Y., and Peng, Q., 2016. Study on the
winding hot- point temperature measurement based on FBG and thermal
model. Chinese Journal of Scientific Instrument, 37(02), 294–300.