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Javad Azarakhsh

The Power Transformer Differential Protection Using Decision Tree

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Abstract

This paper presents a new power transformer protection method by intelligent differential relay. This method is based on differential current sampling caused by primary and secondary three phase current of transformer. Detecting the type of fault in protection place is based on performance of the learned decision tree. The simulations of power system and differential relay are accomplished in PSCAD and MATLAB. The main characteristic of the relay is being intelligence such that at first step the decision tree is learned by several samples including faulted and inrush currents and then the relay detects the internal fault intelligently and quickly and the outputs of the relay order to the breakers in two ends of the transformer to be opened.

Keywords : wavelet transform, transformer, differential relay, correlation coefficient, on-line performance

Pour citer cet article

Javad Azarakhsh, «The Power Transformer Differential Protection Using Decision Tree», Bulletin de la Société Royale des Sciences de Liège [En ligne], Volume 86 - Année 2017, Special issue, 726 - 738 URL : http://popups.ulg.ac.be/0037-9565/index.php?id=6982.

A propos de : Javad Azarakhsh

Faculty of Marine Engineering, Chabahar Maritime University, Chabahar, Iran, j.azarakhsh@cmu.ac.ir