Online monitoring of winding deformation and error analysis based on transformer impedence circle character

This paper introduced the main point of three winding transformer impedance circle characters that is constructing the 3D locus between the voltage differences in the high- and low-(or middle-) sides of a particular phase against the cur rents of this two windings. In additional, error terms caused by exciting current of both two winding and three-winding trans former have been analyzed. Current compensation was employed to reduce error. A Matlab code was developed to calculate the feature parameter of the impedance circle character. Winding deformation can be diagnosed by comparing the index with the fingerprint. PSCAD simulation and fault recorder analysis results show that the technique is free from load, does not call for any special equipment and enable on-line monitoring.

[1]  Stephen J. Chapman,et al.  Electric Machinery Fundamentals , 1991 .

[2]  A. Abu-Siada,et al.  A Novel Online Technique to Detect Power Transformer Winding Faults , 2012, IEEE Transactions on Power Delivery.

[3]  M.F. El-Naggar,et al.  A novel approach for fault diagnosis of power transformers based on extracting invariant moments , 2008, 2008 Australasian Universities Power Engineering Conference.

[4]  A. Abu-Siada,et al.  A novel algorithm to detect internal transformer faults , 2011, 2011 IEEE Power and Energy Society General Meeting.

[5]  A. Abu-Siada,et al.  Online Transformer Internal Fault Detection Based on Instantaneous Voltage and Current Measurements Considering Impact of Harmonics , 2017, IEEE Transactions on Power Delivery.

[6]  Peng Jing Study on On-line Detecting of Transformer Winding Deformation Based on Parameter Identification of Leakage Reactance , 2010 .

[7]  Mehdi Bagheri,et al.  Practical challenges in online transformer winding deformation diagnostics , 2011, 2011 2nd International Conference on Electric Power and Energy Conversion Systems (EPECS).

[8]  Wang Qiang Study on On-line Detecting of Transformer Winding Deformation Based on Parameter Identification of Leakage Inductance , 2006 .

[9]  A. Abu-Siada,et al.  A new method for analysing transformer condition using frequency response analysis , 2011, 2011 IEEE Power and Energy Society General Meeting.

[10]  M.F. El-Naggar,et al.  A novel image-based approach for discrimination between internal faults and magnetizing inrush currents in power transformers , 2007, 2007 Australasian Universities Power Engineering Conference.

[11]  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.

[12]  Liu Kai Algorithm to Identify Leakage Inductances of Power Transformer With Y-Delta Connection , 2008 .