A Prediction Model of Hot Spot Temperature for Split-Windings Traction Transformer Considering the Load Characteristics

Hot spot temperature (HST) is an important parameter reflecting the working state of the traction transformer, and the load characteristics have a great influence on the HST. The current researches rarely consider the load characteristics of transformers in-depth, and most of the research on the temperature field focuses on steady load. Therefore, a prediction model of HST for the traction transformer considering the load characteristics is established by the finite element simulation in this paper. Considering the impact and nonlinearity of traction load, the influence of the load characteristics on the HST is studied. Analysis of the load curve revealed that the steady and step load combination could well simulate the traction load. Based on the analysis of traction transformer load characteristics, the temperature field coupling calculation of traction transformer is carried out according to the VI normative duty class. On this basis, the influence of load rate and time on HST is studied. The present findings show that the method can predict the HST of traction transformer under different working conditions and provide a reference for load dispatching of traction transformer. The simulation data are in good agreement with the test results, and the average relative error is 3.4%. The results verify the effectiveness of the proposed method.

[1]  Yiyi Zhang,et al.  Aging evaluation for transformer oil-immersed cellulose insulation by using frequency dependent dielectric modulus technique , 2021, Cellulose.

[2]  Chao Liu,et al.  Temperature rise of a dry-type transformer with quasi-3D coupled-field method , 2016 .

[3]  A. Mamizadeh,et al.  Analyzing and comparing thermal models of indoor and outdoor oil-immersed power transformers , 2009, 2009 IEEE Bucharest PowerTech.

[4]  Davood Azizian,et al.  Analysis of Temperature Distribution in Cast-resin Dry-type Transformers , 2007 .

[5]  Yiyi Zhang,et al.  Analysis on the Temperature Field and the Ampacity of XLPE Submarine HV Cable Based on Electro-Thermal-Flow Multiphysics Coupling Simulation , 2020, Polymers.

[6]  Hao Zhiguo,et al.  Simulation and analysis of oil-immersed transformer based on thermal-fluid coupled field , 2014, 2014 International Conference on Power System Technology.

[7]  Zongren Peng,et al.  A novel dissipating heat structure of converter transformer RIP bushings based on 3-D electromagnetic-fluid-thermal analysis , 2017, IEEE Transactions on Dielectrics and Electrical Insulation.

[8]  Lijun Zhou,et al.  Oil exponent thermal modelling for traction transformer under multiple overloads , 2018, IET Generation, Transmission & Distribution.

[9]  Hanbo Zheng,et al.  Temperature correction to dielectric modulus and activation energy prediction of oil-immersed cellulose insulation , 2020, IEEE Transactions on Dielectrics and Electrical Insulation.

[10]  Ruohan Gong,et al.  A Method for Hot Spot Temperature Prediction of a 10 kV Oil-Immersed Transformer , 2019, IEEE Access.

[11]  Yiyi Zhang,et al.  Aging evaluation and moisture prediction of oil-immersed cellulose insulation in field transformer using frequency domain spectroscopy and aging kinetics model , 2020, Cellulose.

[12]  Dongjin Kweon,et al.  Hot spot temperature for 154 kV transformer filled with mineral oil and natural ester fluid , 2012, IEEE Transactions on Dielectrics and Electrical Insulation.

[13]  A. Abdel-azim.  Fundamentals of Heat and Mass Transfer , 2011 .

[14]  F. Zizek,et al.  Loss analysis of a model transformer winding , 2003 .

[16]  Jan C. Jofriet,et al.  Temperature distribution in foil winding for ventilated dry-type power transformers , 2010 .

[17]  Yu Quan,et al.  Analysis and Experiment of Hot-Spot Temperature Rise of 110 kV Three-Phase Three-Limb Transformer , 2017 .

[18]  Thinh Dao,et al.  A study of hot-spot localization in distribution transformers , 2017, 2017 1st International Conference on Electrical Materials and Power Equipment (ICEMPE).

[19]  I. Fofana.  50 years in the development of insulating liquids , 2013, IEEE Electrical Insulation Magazine.

[20]  Rafael Gonçalves Mafra,et al.  Winding Hottest-Spot Temperature Analysis in Dry-Type Transformer Using Numerical Simulation , 2018 .

[21]  Lijun Zhou,et al.  A Method for Hot-Spot Temperature Prediction and Thermal Capacity Estimation for Traction Transformers in High-Speed Railway Based on Genetic Programming , 2019, IEEE Transactions on Transportation Electrification.

[22]  M. Lehtonen,et al.  Thermal model for power transformers dynamic loading , 2006, Conference Record of the 2006 IEEE International Symposium on Electrical Insulation.

[23]  Yiyi Zhang,et al.  Frequency Domain Spectroscopy Prediction of Oil-Immersed Cellulose Insulation under Diverse Temperature and Moisture , 2020, IEEE Transactions on Dielectrics and Electrical Insulation.

[24]  Davood Azizian.  Winding temperature prediction in split-winding traction transformer , 2016 .

[25]  Alistair Revell,et al.  Numerical prediction of local hot-spot phenomena in transformer windings , 2012 .

[26]  Qi Wang,et al.  A reliability assessment method for traction transformer of high-speed railway considering the load characteristics , 2015, 2015 IEEE Conference on Prognostics and Health Management (PHM).

[27]  Yiyi Zhang,et al.  A modified X-model of the oil-impregnated bushing including non-uniform thermal aging of cellulose insulation , 2020, Cellulose.

[28]  Yiyi Zhang,et al.  Analysis of low‐frequency polarisation behaviour for oil‐paper insulation using logarithmic‐derivative spectroscopy , 2021, High Voltage.

[29]  Chao Liu,et al.  3-D Coupled Electromagnetic-Fluid-Thermal Analysis of Oil-Immersed Triangular Wound Core Transformer , 2014, IEEE Transactions on Magnetics.

[30]  Davide Lauria,et al.  Lifetime characterization via lognormal distribution of transformers in smart grids: Design optimization , 2016 .