High frequency power transformer modelling for frequency response analysis studies

Frequency response analysis (FRA) has been widely utilized to detect winding and core deformations within power transformers. While the measurement technique has been well-developed and standardized, the interpretation of the FRA signature is still a challenging area that calls for more research, in order to establish standard and widely-accepted interpretation codes. To investigate the impact of various winding deformations on the transformer FRA signature, a reliable high frequency transformer model is required. This paper presents two high frequency transformer models based on the electrical distributed parameters circuit and numerical representation that are to be used for FRA studies. The electrical parameters used in both models are obtained through simulating a 10-kVA transformer using a three-dimensional finite element analysis, so as to mimic a transformer's real operation. The calculated parameters are then employed within the two proposed models to acquire FRA signatures which are then analyzed and compared. The results show that both methods are suitable to model power transformers for FRA studies.

[1]  A. Abu-Siada,et al.  Understanding power transformer frequency response analysis signatures , 2013, IEEE Electrical Insulation Magazine.

[2]  A. Abu-Siada,et al.  Application of FRA polar plot technique to diagnose internal faults in power transformers , 2014, 2014 IEEE PES General Meeting | Conference & Exposition.

[3]  Weijie Xu,et al.  Dynamic Deformation Analysis of Power Transformer Windings in Short-Circuit Fault by FEM , 2014, IEEE Transactions on Applied Superconductivity.

[5]  Tapan K. Saha,et al.  Examining the ageing of transformer insulation using FRA and FDS techniques , 2015, IEEE Transactions on Dielectrics and Electrical Insulation.

[6]  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.

[7]  E. Kornatowski,et al.  Diagnostics of a Transformer's Active Part With Complementary FRA and VM Measurements , 2014, IEEE Transactions on Power Delivery.

[8]  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.

[9]  Q. H. Wu,et al.  Frequency response analysis of power transformer winding deformation based on a hybrid model , 2011, 2011 IEEE Power Engineering and Automation Conference.

[10]  Narottam Das,et al.  Power transformer winding fault analysis using transfer function , 2013, 2013 Australasian Universities Power Engineering Conference (AUPEC).

[11]  A. Abu-Siada,et al.  Minimum detection of power transformer short circuit fault using frequency response analysis , 2015, 2015 Australasian Universities Power Engineering Conference (AUPEC).

[12]  Gerard Ledwich,et al.  Identification of high frequency transformer equivalent circuit using Matlab from frequency domain data , 1997, IAS '97. Conference Record of the 1997 IEEE Industry Applications Conference Thirty-Second IAS Annual Meeting.

[13]  R.P.P. Smeets,et al.  Analysis of Very Fast Transients in Layer-Type Transformer Windings , 2007, IEEE Transactions on Power Delivery.

[14]  L. M. Geldenhuis.  Power transformer life management , 2005 .

[15]  Sang-Yong Jung,et al.  Finite-Element Analysis of Short-Circuit Electromagnetic Force in Power Transformer , 2011, IEEE Transactions on Industry Applications.

[16]  E. J. Figueroa.  MANAGING AN AGING FLEET OF TRANSFORMERS , 2009 .

[17]  W.H. Tang,et al.  A Hybrid Winding Model of Disc-Type Power Transformers for Frequency Response Analysis , 2009, IEEE Transactions on Power Delivery.

[18]  Seyed Mohammad Hassan Hosseini,et al.  Transformer Winding Modeling based on Multi-Conductor Transmission Line Model for Partial Discharge Study , 2014 .