FREQUENCY ESTIMATION OF DISTORTED POWER SYSTEM SIGNALS USING MULTIPLE SIGNAL CLASSIFICATION ALGORITHM

In this paper a sub-space based fundamental frequency estimator of multiple signal classification (MUSIC) algorithm for distorted power system signals is proposed. Noise and signal sub-spaces are obtained from eigenvalue decomposition and desired frequency is estimated. Distortion level of the power system signals which have been observed from measurements may affect the accuracy of frequency measurement in a power system. Thus, the proposed method is employed to decompose noise sub-space for white and harmonic noises which are common in power systems. Computer simulations have been carried out for the performance analysis of the proposed method and the comparison results of the proposed method for different signal to noise ratios (SNR) are given. The fast tracking performance of the proposed approach in power system frequency estimation is emphasized.

Keywords:

MUSIC, Power System Frequency Estimation,

PDF

___

Cekli, S., Uzunoğlu, C.P., Uğur, M., “Adaptive Frequency Estimation of Distorted Power System Signals Using Modified Extended Kalman Filter”, Gazi University Journal of Science, vol:24, No:1, pp. 85-89, 2011.
Sreenivas, T.V., Niederjohn, R.J., "Zero- crossing Based Spectral Analysis and SVD Spectral Analysis for Formant Frequency Estimation in Noise", IEEE Trans. Sig. Proc., Vol:40, No: 2, 1992.
Phadke, A.G., Throp, J.S., Adamiak, M., “A new measurement technique for tracking voltage phasors, local system frequency and rate of change of frequency,” IEEE Trans. Power Apparat. Syst., Vol:102, pp.1025-1038, 1983.
Huang, C.H., Lee, C.H., Shih, K.J., Wang Y.J., “Frequency Estimation of Distorted Power System Signals Using Robust Extended Complex Kalman Filter”, Intelligent Systems App. to Power Systems, 10.1109/ISAP. 2007.4441663, pp: 1–6, (2007).
Karimi, H., Karimi, M., Ghartemani, M., Iravani, M.R., “Estimation of frequency and its rate of change for applications in power systems”, IEEE Trans. on Power Delivery, Vol:19, No:2, pp.472-480, 2004.
Haykin, S., Adaptive Filter Theory, 4th Ed., New Jersey, Prentice Hall, ISBN: 0130901261, 2001.
Uzunoglu, C.P., Ugur, M., ‘Frequency Control with Zero Crossing Algorithm by Using Adaptive Filter in Power Systems ’, EVK, 2009.
SO H.C., WU Y., ‘Fast Algorithm for High Resolution Frequency Estimation of Multiple Real Sinusoids’, IEICE Trans. Fundementals, Vol: E86-A, No:11, 2003.
Jensen, J.R., Chistensen, M.G., JENSEN, S.H., “Fundemental Frequency Estimation Using Polynomial Rooting of a Subspace- Based Method”, EUSIPCO 2010, pp.502-506, Dengark, 2010.
Leonowicz, Z., Parametric Methods for Time-Frequency Analysis of Electric Signals, Wroclaw University of Technology, Poland, 2006.
Schmidt, R.O., A signal subspace approach to multiple emitter location and spectral estimation, Ph.D. thesis, Stanford University, Stanford, CA, 1981.
Pisarenko, V.F., “The retrieval of harmonics from a covariance function, Geophysics”, J. Roy. Astron. Soc., pp.347– 366, 1973.
Bentley, E.C., Putrus, G.A., Minns, P., McDonald, S., “Effects of frequency deviation on the accuracy of harmonic analysis and mitigation”, Universities Power Engineering Conference, 43rd International, pp.1–4, 2008. Cengiz Polat UZUNOGLU was born in İstanbul in

ISSN: 2619-9831
Başlangıç: 2001
Yayıncı: İstanbul Üniversitesi-Cerrahpaşa

Arşiv