Discrimination of Inrush Currents from Internal Faults in Power Transformers using Fractional Fourier Transform

Authors

Faculty of Electrical and Computer Engineering, Semnan University, Semnan, Iran

Abstract

This paper proposes a new method to improve power transformer differential protection. Fractional Fourier transform is implemented in order to discriminate inrush current from internal fault current. Fractional Fourier transform is a time-frequency method and unlike conventional Fourier transform, it is able to represent the time and frequency characteristics of signals. Thus, the proposed method is powerful to recognize non-stationary signal features. In addition, there is no need to define the data window such as wavelet transform and is stable in the noisy environment. A simple algorithm and a low computational burden are the advantages of this method. The accuracy of this method is evaluated by simulated inrush current and internal fault current signals in PSCAD/EMTDC software. This method is demonstrating its ability to distinguish these currents in the presence of noise and without it.

Keywords

References

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TABRIZ JOURNAL OF ELECTRICAL ENGINEERING
Volume 48, Issue 3 - Serial Number 85
November 2018
Pages 1379-1388

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