DocumentCode
168104
Title
Discussions on Covariance Matrix of Kalman Filter for Power System Harmonic Analysis
Author
Cheng-I Chen ; Yeong Chin Chen
Author_Institution
Dept. of Electr. Eng., Nat. Central Univ. Asia Univ., Taoyuan, Taiwan
fYear
2014
fDate
10-12 June 2014
Firstpage
589
Lastpage
592
Abstract
Extended Kalman filter is an efficient method for harmonic analysis in power system because of its good noise immunity and ability to track the frequency variation. When the filter reaches steady-state, it becomes less sensitive to variations and begins losing tracking ability. This problem can be improved by setting the suitable noise covariance matrix. This paper discusses the effect on the level of noise covariance matrix.
Keywords
Kalman filters; covariance matrices; power system harmonics; extended Kalman filter; noise covariance matrix; noise immunity; power system; power system harmonic analysis; Covariance matrices; Harmonic analysis; Kalman filters; Mathematical model; Noise; Power harmonic filters; covariance matrix; extended Kalman filter; harmonics;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer, Consumer and Control (IS3C), 2014 International Symposium on
Conference_Location
Taichung
Type
conf
DOI
10.1109/IS3C.2014.160
Filename
6845952
Link To Document