A Novel Approach for Discrimination Magnetizing Inrush Current and Internal Fault in Power Transformers Based on Neural Network

One of the major problems that may occur in the differential protection systemsof power transformers is mal-operation of the protection relays in sake of internalfault detection, because of similarity between this current and inrush current. Thispaper presents a novel approach for discriminating inrush current from internalfault in power transformers based on Improved Gravitationl Search Algorithm(IGSA). For this purpose, an Artificial Neural Network (ANN) which is trained byIGSA has been applied to discrete sample data of internal fault and inrush currentsin the transformers. Results show that, the used approach can discriminate betweenthese two kinds of phenomenon, very well and also, has high accuracy and excellent reliability, in addition, it has less coputational burden and complexity.

Keywords:

Activation Function , Artificial Neural Network , Differential Protection , Improved Gravitational Search Algorithm , Magnetizing Inrush Current , and Transformer Fault