A state-space signal decomposition method for power system disturbance analysis

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1 Citation (Scopus)

Abstract

In this paper we present the state-space method to estimate the parameters of a signal model expressed as a sum of damped complex exponentials from a noisy waveform samples recorded during some power system disturbances. The method is based on the Singular Value Decomposition of the Hankel data matrix. It is shown using practical examples that the method displays high parameter estimation accuracy.

Original languageEnglish
Pages (from-to)789-792
Number of pages4
JournalIEEE AFRICON Conference
Volume2
DOIs
Publication statusPublished - 2004
Externally publishedYes
Event2004 IEEE AFRICON: 7th AFRICON Conference in Africa: Technology Innovation - Gaborone, Botswana
Duration: 15 Sep 200417 Sep 2004

Keywords

  • Disturbance analysis
  • Signal processing
  • State-space method

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