Adaptive tracking of system oscillatory modes using an extended RLS algorithm

•A nonstationary RLS algorithm is combined with a Kalman filter to deal with measured ambient power system data.•By tracking the evolving dynamics of system oscillations, the system instability conditions can be determined.•Extensions and generalizations to current adaptive filtering algorithms to a...

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Veröffentlicht in:	Electric power systems research Jg. 114; S. 28 - 38
Hauptverfasser:	Moreno, I., Messina, A.R.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier B.V 01.09.2014 Elsevier
Schlagworte:	Applied sciences Capacitors. Resistors. Filters Electrical engineering. Electrical power engineering Electrical power engineering Exact sciences and technology Kalman filtering Miscellaneous Operation. Load control. Reliability Power networks and lines Power phasor measurement RLS algorithms Various equipment and components WAMS Power phasor measurement WAMS Kalman filtering RLS algorithms Performance evaluation Phase measurement Adaptive algorithm Adaptive system Power system control Kalman filter Adaptive filtering Recursive algorithm Low frequency Implementation Power system measurement Algorithm performance Electrical network Least squares method Recursive method Comparative study Electromechanical system Least mean squares methods
ISSN:	0378-7796, 1873-2046
Online-Zugang:	Volltext
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