Visualization of Quality PerformanceParameters Using Wavelet Scalograms Images for Power Systems

Rafael  S. Salles; Gabriel  C. S. Almeida; Leandro  R. M. Silva; Carlos  A. Duque; Paulo  F. Ribeiro

doi:10.48011/asba.v2i1.1497

Rafael S. Salles Institute of Electrical and Energy Systems, Federal University of Itajubá
Gabriel C. S. Almeida Institute of Electrical and Energy Systems, Federal University of Itajubá
Leandro R. M. Silva Electrical Engineering Department , Federal University of Juiz de Fora
Carlos A. Duque Electrical Engineering Department , Federal University of Juiz de Fora
Paulo F. Ribeiro Institute of Electrical and Energy Systems, Federal University of Itajubá

DOI: https://doi.org/10.48011/asba.v2i1.1497

Keywords: Image visualization, Power quality, Scalogram, Signal processing, Wavelet transform

Abstract

Power quality problems are not new to power systems, but they cannot be overlooked. In the context of Smart Grids, power systems are undergoing a transformation characterized by the high penetration of renewable sources and electronic devices in the grids, in addition to greater computerization of operations. Thus, alternatives in the representation and visualization of these integrated quality parameters become more and more necessary, both for a better understanding of these phenomena and for advanced applications with the use of images.With this in mind, this paper aims to present an alternative for visualizing PQ disturbances through 2-D images from scalograms based on the continuous wavelet transform (CWT) and multiresolution analysis. For this, signals from three dierent sources, mathematical equations, models of transmission and distribution of energy in MATLAB / Simulink, and real signals from a database were used. For the creation of the scalogram images, the signal processing technique, and the use of a color map were used to show the performance. The results showed the eciency of the method for visualization and characterization of addressed disturbances. The enkaptics phenomena were also highlighted, which show the simultaneity and relationship between dierent types of signal variation. The work contributes to using signals from dierent sources, synthetic, from simulation or real signals, to oer a methodology that describes tools for a method of visualization.