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Published Article / 1-4244-0813-X/07/$20.00 2007 IEEE ENY-ARTICLE-2008-025

Parametric Spectral Estimation for Power Quality Assessment

Leonowicz, Z (Wroclaw University of Technology, Poland) ; Lobos, T (Wroclaw University of Technology, Poland)


Abstract: The authors show that the use of highresolution spectrum estimation methods instead of Fourier-based techniques can improve the accuracy of measurement of spectral parameters of distorted waveforms encountered in power systems, in particular the estimation of the power quality indices (such as harmonic and interharmonic groups and subgroups). The comparison of the frequency and amplitude estimation error, based on numerical simulations is presented. Presentation of selected power quality indices is then followed by comparison of estimation error in the case of application of FFT-based algorithms and parametric methods. Investigated waveforms are typical for dc arc furnace plant. MUSIC and ESPRIT high-resolution methods are used to analyze waveforms in a supply system of a DC arc furnace.

Keyword(s): Power Quality ; Power system harmonics ; Spectral domain analysis ; MUSIC ; ESPRIT
Note: EUROCON 2007 The International Conference on “Computer as a Tool” Warsaw, September 9-12, pp. 1641-1647

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Cited by: try citation search for ENY-ARTICLE-2008-025; 1-4244-0813-X/07/$20.00 2007 IEEE

Rekord stworzony 2008-03-08, ostatnia modyfikacja 2008-03-09

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