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
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;
Conference_Titel :
Computer, Consumer and Control (IS3C), 2014 International Symposium on
Conference_Location :
Taichung
DOI :
10.1109/IS3C.2014.160
