A Kalman Filtering Approach to Rapidly Detecting Modal Changes in Power Systems

A Kalman Filtering Approach to Rapidly Detecting Modal Changes in Power Systems

This paper applies Kalman filtering techniques to the problem of detecting modal changes in large interconnected power systems. Short term alarming procedures are developed based on the statistics of the power spectral density of the Kalman filter innovation. The new technique is tested on both simu...

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Veröffentlicht in:IEEE transactions on power systems 2007-11, Vol.22 (4), p.1698-1706
Hauptverfasser: Wiltshire, R.A., Ledwich, G., O'Shea, P.
Format: Artikel
Sprache:eng
Schlagworte:
Damping
Density
Filtering
Interconnected power systems
Kalman filtering
Kalman filters
Power system interconnection
Power system measurements
Power system modeling
Power system simulation
power system stability
Power system transients
Power systems
Simulation
Spectra
state space estimator
Statistics
Technological innovation
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Beschreibung
Zusammenfassung:This paper applies Kalman filtering techniques to the problem of detecting modal changes in large interconnected power systems. Short term alarming procedures are developed based on the statistics of the power spectral density of the Kalman filter innovation. The new technique is tested on both simulated data and real data obtained from power systems in normal operation. The particular advantage of the new method is its ability to detect changes very quickly.
ISSN:0885-8950
1558-0679
DOI:10.1109/TPWRS.2007.907529