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

Rastko Živanović

doi:10.1109/africon.2004.1406792

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

Rastko Živanović

Publikation: Beitrag in Fachzeitschrift › Konferenzartikel › Begutachtung

1 Zitat (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.

Originalsprache	Englisch
Seiten (von - bis)	789-792
Seitenumfang	4
Fachzeitschrift	IEEE AFRICON Conference
Jahrgang	2
DOIs	https://doi.org/10.1109/africon.2004.1406792
Publikationsstatus	Veröffentlicht - 2004
Extern publiziert	Ja
Veranstaltung	2004 IEEE AFRICON: 7th AFRICON Conference in Africa: Technology Innovation - Gaborone, Botsuana Dauer: 15 Sep. 2004 → 17 Sep. 2004

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10.1109/africon.2004.1406792

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title = "A state-space signal decomposition method for power system disturbance analysis",

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.",

keywords = "Disturbance analysis, Signal processing, State-space method",

author = "Rastko {\v Z}ivanovi{\'c}",

year = "2004",

doi = "10.1109/africon.2004.1406792",

language = "English",

volume = "2",

pages = "789--792",

journal = "IEEE AFRICON Conference",

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AU - Živanović, Rastko

PY - 2004

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AB - 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.

KW - Disturbance analysis

KW - Signal processing

KW - State-space method

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U2 - 10.1109/africon.2004.1406792

DO - 10.1109/africon.2004.1406792

M3 - Conference article

AN - SCOPUS:20744453819

SN - 2153-0025

VL - 2

SP - 789

EP - 792

JO - IEEE AFRICON Conference

JF - IEEE AFRICON Conference

T2 - 2004 IEEE AFRICON: 7th AFRICON Conference in Africa: Technology Innovation

Y2 - 15 September 2004 through 17 September 2004

ER -

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

Abstract

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