Title :
A state-space signal decomposition method for power system disturbance analysis
Author_Institution :
Tshwane Univ. of Technol., Pretoria, South Africa
fDate :
6/26/1905 12:00:00 AM
Abstract :
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 :
"Signal resolution","Power system analysis computing","Signal analysis","Power system modeling","Parameter estimation","State-space methods","State estimation","Singular value decomposition","Matrix decomposition","Displays"
Conference_Titel :
AFRICON, 2004. 7th AFRICON Conference in Africa
Print_ISBN :
0-7803-8605-1
DOI :
10.1109/AFRICON.2004.1406792
