DocumentCode :
776193
Title :
Self-tuning of Kalman filters for harmonic computation
Author :
Macías, José A Rosendo ; Expósito, Antonio Gómez
Author_Institution :
Dept. of Electr. Eng., Univ. of Sevilla, Spain
Volume :
21
Issue :
1
fYear :
2006
Firstpage :
501
Lastpage :
503
Abstract :
This paper addresses the problem of tuning Kalman filters so that they can properly track harmonic fluctuations. A method for self-tuning of the model error covariance is presented and tested, showing fast adaptive capability under sudden changes of the input signal.
Keywords :
Kalman filters; power harmonic filters; tuning; error covariance; harmonic computation; harmonic fluctuation; tuning Kalman filters; Covariance matrix; Estimation error; Filtering; Kalman filters; Measurement errors; Power harmonic filters; Power system harmonics; Power system protection; State estimation; Tuning; Digital filters; Kalman filtering; harmonic analysis; power system harmonics; power system protection;
fLanguage :
English
Journal_Title :
Power Delivery, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8977
Type :
jour
DOI :
10.1109/TPWRD.2005.860411
Filename :
1564238
Link To Document :
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