Self-tuning of Kalman filters for harmonic computation

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.

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Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on power delivery 2006-01, Vol.21 (1), p.501-503
Hauptverfasser:	Macias, J.A.R., Exposito, A.G.
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Computation Covariance Covariance matrix Digital filters Disturbances. Regulation. Protection Electrical engineering. Electrical power engineering Electrical power engineering Errors Estimation error Exact sciences and technology Filtering Fluctuation harmonic analysis Harmonics Kalman filtering Kalman filters Mathematical models Measurement errors Power electronics, power supplies Power harmonic filters Power networks and lines Power system harmonics Power system protection State estimation Tuning
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Beschreibung
Zusammenfassung:	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.
ISSN:	0885-8977 1937-4208
DOI:	10.1109/TPWRD.2005.860411