A NEURO-FUZZY TECHNIQUE FOR DISCRIMINATION BETWEEN INTERNAL FAULTS AND MAGNETIZING INRUSH CURRENTS IN TRANSFORMERS

Document Type: Research Paper

Authors

DEPARTMENT OF POWER ENGINEERING, UNIVERSITY OF BIRJAND, IRAN

Abstract

This paper presents the application of the fuzzy-neuro method to
investigate transformer inrush current. Recently, the frequency environment of
power systems has been made more complicated and the magnitude of the second
harmonic in inrush current has been decreased because of the improvement of cast
steel. Therefore, traditional approaches will likely mal-operate in the case of
magnetizing inrush with low second component and internal faults with high
second harmonic. The proposed scheme enhances the inrush detection sensitivity of
conventional techniques by using a fuzzy-neuro approach. Details of the design
procedure and the results of performance studies with the proposed detector are
given in the paper. The results of performance studies show that the proposed
algorithm is fast and accurate.

Keywords


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