Transformer Protection Algorithm Based on S-Transform

Akpinar K. N., Özgönenel O., KURT Ü.

28th Signal Processing and Communications Applications Conference (SIU), ELECTR NETWORK, 5 - 07 October 2020 identifier

  • Publication Type: Conference Paper / Full Text
  • Country: ELECTR NETWORK
  • Keywords: Artificial Neural Network, Magnetizing Inrush Current, Stockwell Transform, Transformer, POWER, DISCRIMINATION
  • Ondokuz Mayıs University Affiliated: Yes

Abstract

In this study, Stockwell transform and artificial neural network were used in determining the inrush current and the internal current fault based on the power transformer protection. The S-transform is a robust transform that incorporates the time and frequency characteristics used in the analysis of non-stationary short term transient signals. It is used for pattern recognition for distinction between internal faults and inrush current. Time-frequency images were obtained by using S-transform, and the obtained images were observed to be different in internal faults and inrush current. The feature extraction is based on statistical methods, standard deviation and average value, the classification process was performed with the multilayer feed forward artificial neural network. The classification performance is calculated at a hundred percent accuracy.