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

Research output: Contribution to journal › Conference article › peer-review

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 language	English
Pages (from-to)	789-792
Number of pages	4
Journal	IEEE AFRICON Conference
Volume	2
DOIs	https://doi.org/10.1109/africon.2004.1406792
Publication status	Published - 2004
Externally published	Yes
Event	2004 IEEE AFRICON: 7th AFRICON Conference in Africa: Technology Innovation - Gaborone, Botswana Duration: 15 Sept 2004 → 17 Sept 2004

Keywords

Disturbance analysis
Signal processing
State-space method

Access to Document

10.1109/africon.2004.1406792

Cite this

@article{cee5e37fe5374bcab8bea2ceba8d7220,

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",

issn = "2153-0025",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "2004 IEEE AFRICON: 7th AFRICON Conference in Africa: Technology Innovation ; Conference date: 15-09-2004 Through 17-09-2004",

}

TY - JOUR

T1 - A state-space signal decomposition method for power system disturbance analysis

AU - Živanović, Rastko

PY - 2004

Y1 - 2004

N2 - 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.

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

UR - http://www.scopus.com/inward/record.url?scp=20744453819&partnerID=8YFLogxK

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

Keywords

Access to Document

Other files and links

Fingerprint

Cite this