A simple thermal model of transformer hot spot temperature based on thermal-electrical analogy

The winding hot spot temperature of the oil-immersed power transformer is an important parameter factor in the long-term life of the transformer. It has a great influence on the transformer insulation aging and a close relationship to the transformer top oil temperature which is used to indicate the operating conditions of the transformer. In view of the hot-spot rise over top oil temperature is a function dependent on time as well as the transformer loading, this paper developed a simple thermal model to calculate transformer hot spot temperature based on thermal-electrical analogy, which incorporated the nonlinear thermal resistance and application of oil viscosity and winding losses changes with temperature. The model parameters are estimated by Levenberg-Marquardt method. In the end, The comparison of experimental data under various loadings and model outputs shows the accuracy and efficiency of the proposed model, which suggest that this presented model can describe the thermal behavior of oil-immersed transformer more accurately.

[1]  H. Nordman,et al.  Temperature Responses to Step Changes in the Load Current of Power Transformers , 2002, IEEE Power Engineering Review.

[2]  L. W. Pierce An investigation of the thermal performance of an oil filled transformer winding , 1992 .

[3]  A.B. Lobo Ribeiro,et al.  Multipoint Fiber-Optic Hot-Spot Sensing Network Integrated Into High Power Transformer for Continuous Monitoring , 2008, IEEE Sensors Journal.

[4]  M. Lehtonen,et al.  Dynamic thermal modeling of distribution transformers , 2005, IEEE Transactions on Power Delivery.

[5]  M.K. Pradhan,et al.  Estimation of the hottest spot temperature (HST) in power transformers considering thermal inhomogeniety of the windings , 2004, IEEE Transactions on Power Delivery.

[6]  Jian Li,et al.  Comparison of two thermal circuit models for HST calculation of oil-immersed transformers , 2008, 2008 International Conference on Condition Monitoring and Diagnosis.

[7]  M. Fukushima,et al.  Levenberg–Marquardt methods with strong local convergence properties for solving nonlinear equations with convex constraints , 2004 .

[8]  G. Swift,et al.  A fundamental approach to transformer thermal modeling. I. Theory and equivalent circuit , 2001 .

[9]  T. Lundquist,et al.  Finally fiber optic sensing of power transformer “Hotspots” is paying off , 2008, 2008 International Conference on Condition Monitoring and Diagnosis.

[10]  Q. H. Wu,et al.  Equivalent heat circuit based power transformer thermal model , 2002 .

[11]  Chen Weigen,et al.  Power transformer top‐oil temperature model based on thermal–electric analogy theory , 2009 .