DocumentCode :
1501154
Title :
Damping and Relative Mode-Shape Estimation in Near Real-Time Through Phasor Approach
Author :
Chaudhuri, Nilanjan Ray ; Chaudhuri, Balarko
Author_Institution :
Control & Power Res. Group, Imperial Coll. London, London, UK
Volume :
26
Issue :
1
fYear :
2011
Firstpage :
364
Lastpage :
373
Abstract :
A technique for estimating damping and electromechanical mode-shape in near real-time as oscillations develop under transient condition is presented. At each sampling instant, measured signals are expressed as phasors using corrected values of modal frequencies. Damping is obtained from the exponential variation of estimated phasor magnitude using a moving window least squares (LS) algorithm. The relative mode-shape is computed directly from the magnitude and phase angle of the phasors. Random variations in loads are considered to examine possible impact on phasor estimation, especially the frequency correction loop. Accuracy and speed of convergence is validated by comparing the time variation of estimated dampings and relative mode-shapes against the actual values obtained from the linearized models under respective operating conditions. Besides the well-known four-machine, two-area test system, a 16-machine, five-area system is considered for illustration of the concept. Monte Carlo simulations are used to capture the statistical variability in estimation as a result of persistent disturbances (e.g., random fluctuations in loads) leading to different signal-to-noise ratios (SNRs). Results from a commercial real-time simulator illustrate the practical feasibility of the proposed approach.
Keywords :
Kalman filters; Monte Carlo methods; least squares approximations; phase measurement; real-time systems; shape measurement; Kalman filtering; Monte Carlo simulation; exponential variation; five area system; frequency correction loop; linearized model; persistent disturbance; phasor magnitude estimation; real-time simulator; relative mode shape estimation; sampling instant; signal-to-noise ratio; statistical variability; two area test system; window least square algorithm; Damping; Kalman filtering; Monte Carlo; frequency; least squares; mode-shape; phasor;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/TPWRS.2010.2049386
Filename :
5471110
Link To Document :
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