Application of a new frequency estimation technique to power systems

A new technique for estimating the frequency contents in a signal is applied to power systems. The technique uses two sets of measured samples: samples from the signal itself and samples from a filtered signal obtained by passing the original signal through a continuous-time filter. The estimates of...

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Bibliographic Details
Published in:IEEE transactions on power delivery 2006-07, Vol.21 (3), p.1045-1053
Main Authors: El-Shafey, M.H., Mansour, M.M.
Format: Article
Language:English
Subjects:
Applied sciences
Correlation
Discrete Fourier transforms
Disturbances. Regulation. Protection
Eigenvalues
Eigenvalues and eigenfunctions
Electrical engineering. Electrical power engineering
Electrical power engineering
Estimates
Estimating
Exact sciences and technology
Filters
Frequency estimation
Harmonic distortion
Mathematical analysis
Matrices
Miscellaneous
Operation. Load control. Reliability
Phase locked loops
Power networks and lines
Power system harmonics
Power system measurements
power system monitoring
Power system protection
Power systems
Sampling
Sampling methods
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Summary:A new technique for estimating the frequency contents in a signal is applied to power systems. The technique uses two sets of measured samples: samples from the signal itself and samples from a filtered signal obtained by passing the original signal through a continuous-time filter. The estimates of the frequencies contained in the signal are obtained from the eigenvalues of the generalized eigenproblem of two matrices formed from the two sets of samples. The technique assumes estimating multiple sinusoids which makes it suitable in cases with large harmonic distortion. Results show that by the proper choice of the sampling time, the eigenproblem condition is improved such that accurate estimates become attainable in case of noise. Further improvement in the estimate accuracy is achievable by utilizing correlated samples. The technique is also applied to estimating varying frequency.
ISSN:0885-8977
1937-4208
DOI:10.1109/TPWRD.2005.860246