Influence of Phase Compensation Method on Magnetizing Inrush Identification

A Study on Magnetizing Inrush Current of Different Core Materials

Transformer inrush currents were traditionally evaluated by means of Fourier analysis. Such approach affects the design of transformer differential relays concerning their immunity to inrush currents. This paper presents a statistical tool named maximum entropy method (MEM), which seems to provide a reliable and computationally efficient tool for identification inrush currents on two different ...

A New Magnetizing Inrush Restraining Algorithm for Power Transformer Protection

Modeling of Magnetizing Inrush and Internal Faults for Three-phase Transformers

Among the most noticeable root causes of improper performance in power transformers, internal short circuit faults can be noted and if not quickly be identified and addressed in the accepted time interval, irrecoverable damages such as interruption or even collapse of the network connected to the power transformer would happen. In this contribution, three-phase transformer behaviors under magne...

A Fully Magnetizing Phase Transition

We analyze the Farey spin chain, a one dimensional spin system with effective interaction decaying like the squared inverse distance. Using a polymer model technique, we show that when the temperature is decreased below the (single) critical temperature Tc = 1 2 , the magnetization jumps from zero to one.

Support Vector Machine for Discrimination Between Fault and Magnetizing Inrush Current in Power Transformer

This study presents a novel technique based on Support Vector Machine (SVM) for the classification of transient phenomena in power transformer. The SVM is a powerful method for statistical classification of data. The input data to this SVM for training comprises fault current and magnetizing inrush current. SVM classifier produces significant accuracy for classification of transient phenomena i...