Transformer frequency response: a new technique to analyze and distinguish the low-frequency band in the frequency response analysis spectrum

Smart monitoring applications in all aspects of power systems are becoming increasingly popular because of the indirect effect on energy management and the smart grid. In this regard, high voltage equipment monitoring and real-time assessment are critical. Among these evaluations, transformer life and condition assessment has been considered for many years [1], [2]. Currently, advanced methods such as transfer function measurement are employed to determine the transformer condition [3]. Transfer function measurement is generally used for black box system identification [4]. This measurement might be implemented in the time domain as an impulse response or in the frequency domain using a swept signal; the latter approach is commonly called frequency response analysis (FRA) [5].

[1]  Marek Florkowski,et al.  Exploitation stresses and challenges in diagnostics of electrical industrial equipment , 2011, 2011 IEEE International Symposium on Industrial Electronics.

[2]  Mehdi Bagheri,et al.  Transformer frequency response analysis: mathematical and practical approach to interpret mid-frequency oscillations , 2013, IEEE Transactions on Dielectrics and Electrical Insulation.

[3]  D. V. Nicolae,et al.  Application of statistical tools in power transformer FRA results interpretation: Transformer winding diagnosis based on frequency response analysis , 2017, 2017 IEEE PES PowerAfrica.

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

[5]  Chenguo Yao,et al.  Determination of nanosecond pulse parameters on transfer function measurement for power transformer winding deformation , 2016, IEEE Transactions on Dielectrics and Electrical Insulation.

[6]  Pradeep M. Nirgude,et al.  Application of numerical evaluation techniques for interpreting frequency response measurements in power transformers , 2008 .

[7]  Chenguo Yao,et al.  Toward reliable interpretation of power transformer sweep frequency impedance signatures: experimental analysis , 2018, IEEE Electrical Insulation Magazine.

[8]  Enrique E. Mombello,et al.  Sweep frequency response analysis (SFRA) for the assessment of winding displacements and deformation in power transformers , 2008 .

[9]  Marek Florkowski,et al.  Transformer winding defects identification based on a high frequency method , 2007 .

[10]  S. A. Ryder.  Methods for comparing frequency response analysis measurements , 2002, Conference Record of the the 2002 IEEE International Symposium on Electrical Insulation (Cat. No.02CH37316).

[11]  S. A. Ryder,et al.  Diagnosing transformer faults using frequency response analysis , 2003 .

[12]  L. Satish,et al.  Construction of Equivalent Circuit of a Single and Isolated Transformer Winding From FRA Data Using the ABC Algorithm , 2012, IEEE Transactions on Power Delivery.

[13]  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.

[14]  Q. H. Wu,et al.  Detection of power transformer winding deformation and variation of measurement connections using a hybrid winding model , 2012 .

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

[16]  Z.D. Wang,et al.  Winding movement in power transformers: a comparison of FRA measurement connection methods , 2006, IEEE Transactions on Dielectrics and Electrical Insulation.

[17]  Guillermo Aponte Mayor,et al.  Detection of Transformer Faults Using Frequency-Response Traces in the Low-Frequency Bandwidth , 2014, IEEE Transactions on Industrial Electronics.

[18]  Chenguo Yao,et al.  Impact of capacitive coupling circuit on online impulse frequency response of a power transformer , 2016, IEEE Transactions on Dielectrics and Electrical Insulation.

[19]  Syed Islam.  Detection of shorted turns and winding movements in large power transformers using frequency response analysis , 2000, 2000 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.00CH37077).

[20]  Mohammad Hamed Samimi,et al.  FRA interpretation using numerical indices: State-of-the-art , 2017 .

[21]  M. Florkowski,et al.  Identification of winding faults in electric machines using a high frequency method , 2007, 2007 IEEE International Electric Machines & Drives Conference.

[22]  A. Contin,et al.  Frequency-response analysis of power transformers by means of fuzzy tools , 2011, IEEE Transactions on Dielectrics and Electrical Insulation.

[23]  Mehdi Bagheri,et al.  Frequency response analysis and short-circuit impedance measurement in detection of winding deformation within power transformers , 2013, IEEE Electrical Insulation Magazine.

[24]  Tianqi Hong,et al.  An Online Data-Driven Technique for the Detection of Transformer Winding Deformations , 2018, IEEE Transactions on Power Delivery.

[25]  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.