Modeling of electric disturbance signals using damped sinusoids via atomic decompositions and its applications

  • Authors:

  • Lisandro Lovisolo;Michel P. Tcheou;Eduardo A. B. da Silva;Marco A. M. Rodrigues;Paulo S. R. Diniz

  • Affiliations:

  • Departamento de Eletrônica e Telecomunicações (DETEL), Faculdade de Engenharia (FEN), Universidade do Estado do Rio de Janeiro (UERJ), Rio de Janeiro, RJ, Brazil;Laboratory of Signal Processing, PEE/COPPE and DEL/Poli, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil and Electric Power Research Center (CEPEL), Rio de Janeiro, RJ, Brazil;Laboratory of Signal Processing, PEE/COPPE and DEL/Poli, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil;Electric Power Research Center (CEPEL), CP 68007, Rio de Janeiro, RJ, Brazil;Laboratory of Signal Processing, PEE/COPPE and DEL/Poli, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil

  • Venue:
  • EURASIP Journal on Applied Signal Processing
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

The number of waveforms monitored in power systems is increasing rapidly. This creates a demand for computational tools that aid in the analysis of the phenomena and also that allow ecffient transmission and storage of the information acquired. In this context, signal processing techniques play a fundamental role. This work is a tutorial reviewing the principles and applications of atomic signal modeling of electric disturbance signals. The disturbance signal is modeled using a linear combination of damped sinusoidal components which are closely related to the phenomena typically observed in power systems. The signal model obtained is then employed for disturbance signal denoising, filtering of "DC components," and compression.