Title :
Improved extended complex Kalman filter for identifying inter-area oscillations
Author :
Chang, Ronald ; Saha, Tapan K.
Author_Institution :
Sch. of Inf. Technol. & Electr. Eng., Univ. of Queensland, Brisbane, QLD, Australia
fDate :
Oct. 30 2012-Nov. 2 2012
Abstract :
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.
Keywords :
Kalman filters; oscillations; power system stability; 59 bus South East Australian test system; ECKF algorithm; ECKF identifier; IECKF; extended complex Kalman filter; inter-area oscillations tracking; interarea oscillations; noisy ringdown signals; oscillation modes; power system response signals; tracking performance; Damping; Estimation; Frequency estimation; Mathematical model; Noise measurement; Oscillators; Robustness; extended complex Kalman filter; inter-area oscillation identification; power system identification; robustness;
Conference_Titel :
Power System Technology (POWERCON), 2012 IEEE International Conference on
Conference_Location :
Auckland
Print_ISBN :
978-1-4673-2868-5
DOI :
10.1109/PowerCon.2012.6401278