Title :
A robust TLS-ESPIRIT method using covariance approach for identification of low-frequency oscillatory mode in power systems
Author :
Rai, Shekha ; Tripathy, P. ; Nayak, S.K.
Author_Institution :
Dept. of Electron. & Electr. Eng., Indian Inst. of Technol. Guwahati, Guwahati, India
Abstract :
A robust spectral estimation technique for identifying low frequency oscillatory mode is presented in this paper. The effect of outliers is taken into account in the proposed method which occurs due to temporary fault in network or measuring instruments. In order to reduce the effect of such bad data the paper presents a robust covariance approach based TLS-ESPIRIT estimation using multivariate M (MM) estimator. Comparison of the modified TLS-ESPIRIT method with the proposed method are done on two test signals for mode identification at different signal-to-noise ratio (SNR). Efficiency of the proposed method is obtained in presence of outliers through Monte Carlo simulations. Comparison of the proposed method with the TLS-ESPIRIT method is also carried out on real time measurement data of Western Electricity Coordinating Council (WECC) network.
Keywords :
Monte Carlo methods; covariance matrices; invariance; power system identification; robust control; Monte Carlo simulation; low-frequency oscillatory mode; mode identification; multivariate M estimator; power system; robust TLS-ESPIRIT method; robust covariance approach; robust spectral estimation technique; signal-to-noise ratio; Attenuation; Covariance matrices; Damping; Estimation; Frequency estimation; Robustness; Signal to noise ratio; Inter-area oscillations; low-frequency mode analysis; mode identification; multivariate M estimator; robust spectral estimation;
Conference_Titel :
Power Systems Conference (NPSC), 2014 Eighteenth National
DOI :
10.1109/NPSC.2014.7103887
