Frequency Response Features of Axial Displacement Winding Faults in Autotransformers With Split Windings

Frequency response analysis (FRA) is an effective approach for detecting mechanical damage in the windings of a transformer. However, the application of FRA to estimate the winding condition of autotransformers (ATs) employed in the China High-Speed Railway is problematic. Because the split windings of the ATs are connected inside the tank, it is impossible to measure the FRA curves for each split winding outside the tank directly. Therefore, it is difficult to identify fault winding and effectively diagnose the overall condition of the windings. This paper explores the features of FRA curves under different fault conditions to help distinguish the fault winding. An equivalent circuit model is built for the AT with split windings, and the electrical parameters of the windings are determined using the finite-element method. The model is then employed to simulate typical axial displacement faults. The results show that the first antiresonance and resonance of the frequency response for connections involving series windings or series and common windings may be visible features for diagnosing winding faults and the fault level. Specifically, the first and second resonances of the frequency response for the common winding connection may be regarded as the primary feature for identifying fault windings.

[1]  Guillermo Aponte Mayor,et al.  Current Status and Future Trends in Frequency-Response Analysis With a Transformer in Service , 2013, IEEE Transactions on Power Delivery.

[2]  Marek Florkowski,et al.  Detection of transformer winding deformations based on the transfer function: measurements and simulations , 2003 .

[3]  N. Abeywickrama,et al.  High-Frequency Modeling of Power Transformers for Use in Frequency Response Analysis (FRA) , 2008, IEEE Transactions on Power Delivery.

[4]  T. Y. Ji,et al.  Finite-Element Modeling for Analysis of Radial Deformations Within Transformer Windings , 2014, IEEE Transactions on Power Delivery.

[5]  K.G.N.B. Abeywickrama,et al.  Computation of Parameters of Power Transformer Windings for Use in Frequency Response Analysis , 2007, IEEE Transactions on Magnetics.

[6]  S.M. Gubanski,et al.  Exploring possibilities for characterization of power transformer insulation by frequency response analysis (FRA) , 2006, IEEE Transactions on Power Delivery.

[7]  Pritam Mukherjee,et al.  Localization of Radial Displacement in an Actual Isolated Transformer Winding—An Analytical Approach , 2016, IEEE Transactions on Power Delivery.

[8]  Zhengyou He,et al.  Harmonic Resonance Assessment to Traction Power-Supply System Considering Train Model in China High-Speed Railway , 2014, IEEE Transactions on Power Delivery.

[9]  A. Abu-Siada,et al.  Improved power transformer winding fault detection using FRA diagnostics – part 2: radial deformation simulation , 2015, IEEE Transactions on Dielectrics and Electrical Insulation.

[10]  D.M. Sofian,et al.  Interpretation of Transformer FRA Responses— Part I: Influence of Winding Structure , 2009, IEEE Transactions on Power Delivery.

[11]  Hua Li,et al.  Diagnosis of transformer winding faults based on FEM simulation and on-site experiments , 2016, IEEE Transactions on Dielectrics and Electrical Insulation.

[12]  L. Satish,et al.  Identification of Terminal Connection and System Function for Sensitive Frequency Response Measurement on Transformers , 2008, IEEE Transactions on Power Delivery.

[13]  Vahid Behjat,et al.  New statistical approach to interpret power transformer frequency response analysis: non-parametric statistical methods , 2016 .

[14]  Stefan Tenbohlen,et al.  Mathematical Comparison Methods to Assess Transfer Functions of Transformers to Detect Different Types of Mechanical Faults , 2010, IEEE Transactions on Power Delivery.

[15]  N. Abeywickrama,et al.  Effect of Core Magnetization on Frequency Response Analysis (FRA) of Power Transformers , 2008, IEEE Transactions on Power Delivery.

[16]  L. Satish,et al.  An effort to understand what factors affect the transfer function of a two-winding transformer , 2005, IEEE Transactions on Power Delivery.

[17]  S. D. Mitchell,et al.  Modeling Power Transformers to Support the Interpretation of Frequency-Response Analysis , 2011, IEEE Transactions on Power Delivery.

[18]  A. Abu-Siada,et al.  Improved power transformer winding fault detection using FRA diagnostics – part 1: axial displacement simulation , 2015, IEEE Transactions on Dielectrics and Electrical Insulation.

[19]  K. Feser,et al.  Transfer Function Method to Diagnose Axial Displacement and Radial Deformation of Transformer Winding , 2002, IEEE Power Engineering Review.

[20]  Tapan K. Saha,et al.  Frequency response analysis to investigate deformation of transformer winding , 2015, IEEE Transactions on Dielectrics and Electrical Insulation.