Improved extended complex Kalman filter for identifying inter-area oscillations

Chang, Robert and Saha, Tapan Kumar (2012). Improved extended complex Kalman filter for identifying inter-area oscillations. In: Proceedings: Powercon 2012. IEEE PES International Conference on Power Systems Technology (Powercon 2012), Auckland, New Zealand, (1-6). 30 October - 2 November 2012. doi:10.1109/PowerCon.2012.6401278

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Author Chang, Robert
Saha, Tapan Kumar
Title of paper Improved extended complex Kalman filter for identifying inter-area oscillations
Conference name IEEE PES International Conference on Power Systems Technology (Powercon 2012)
Conference location Auckland, New Zealand
Conference dates 30 October - 2 November 2012
Proceedings title Proceedings: Powercon 2012
Journal name 2012 IEEE International Conference on Power System Technology, POWERCON 2012
Place of Publication Piscataway, NJ, United States
Publisher IEEE (Institute for Electrical and Electronic Engineers)
Publication Year 2012
Sub-type Fully published paper
DOI 10.1109/PowerCon.2012.6401278
ISBN 9781467328685
Start page 1
End page 6
Total pages 6
Language eng
Abstract/Summary This paper aims to improve the extended complex Kalman filter (ECKF) for tracking inter-area oscillations from power system response signals. A robustness function is incorporated into the ECKF algorithm, to improve tracking performance on signals with outliers. The improved ECKF identifier (IECKF) is demonstrated on response signals from the simplified 59 bus South East Australian test system. The IECKF performance is evaluated through tracking three inter-area modes of oscillation simultaneously. Results demonstrate that the IECKF identifier offers improved tracking based on noisy ringdown signals with outliers.
Keyword Extended complex Kalman filter
Inter-area oscillation identification
Power system identification
Robustness
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Conference theme “Towards Smarter Resilient and Economic Power Systems”

 
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Created: Thu, 21 Mar 2013, 21:24:31 EST by Tapan Kumar Saha on behalf of School of Information Technol and Elec Engineering