Title :
Self-tuning of Kalman filters for digital protection applications
Author :
Macías, José A Rosendo ; Expósito, Antonio Gómez
Author_Institution :
Univ. of Sevilla, Seville
Abstract :
This paper addresses the problem of tuning Kalman filters so that they can properly track signal fluctuations in digital relaying applications. A method for self-tuning of the model error covariance is presented and tested. The proposed iterative algorithm quickly adapts to sudden changes of the input signal, even in the presence of other harmonics and DC components.
Keywords :
covariance matrices; power harmonic filters; Kalman filter self-tuning; digital protection applications; harmonics-DC components; model error covariance; signal fluctuation tracking; Covariance matrix; Estimation error; Filtering; Iterative algorithms; Kalman filters; Measurement errors; Power harmonic filters; Power system harmonics; Power system protection; State estimation; Digital filters; Harmonic analysis; Kalman filtering; Power system harmonics; Power system protection;
Conference_Titel :
Power Tech, 2005 IEEE Russia
Conference_Location :
St. Petersburg
Print_ISBN :
978-5-93208-034-4
Electronic_ISBN :
978-5-93208-034-4
DOI :
10.1109/PTC.2005.4524636
