Analysis strategy based on wavelet decomposition for classification of voltage sags

Authors

  • J. Xargayó Control Engineering and Intelligent Systems Group - Institute of Informatics and Applications Universitat de Girona Author
  • J. Meléndez Control Engineering and Intelligent Systems Group - Institute of Informatics and Applications Universitat de Girona Author
  • J. Colomer Control Engineering and Intelligent Systems Group - Institute of Informatics and Applications Universitat de Girona Author

DOI:

https://doi.org/10.24084/repqj02.239

Keywords:

Wavelet transform, power quality, voltage sags, signal analysis

Abstract

In order to solve the problems by the perturbations in a voltage distribution system, is necessary the detection and identification of the different disturbing incidents: short-circuits, harmonic distortions, notchings, voltage dips (sags), etc. If it is possible, this detections can be effected automatically, without manual intervention, and as fastest as possible.

In this work we study the viability of the utilization of the wavelet transform for detection, identification and characterization of perturbations in a medium and high voltage distribution system. In concrete, the work center the study in the voltage sags , and the possibility to divided the sags in different categories for facility futures studies about possible causes or effects.

The implementation of the algorithm was made with the ‘Wavelets Toolbox’, a toolbox of the MATLAB simulation program.

Published

2024-01-03

Issue

Section

Articles