Parameter identification of low frequency oscillations by Pade method

This paper proposes a novel methodology for characterization of nonlinear low frequency oscillations. Selecting a window of the speed machine signals, a polynomial in the z-domain of the samples is obtained, and then Pade approximation is used to obtain a rational equivalent of the polynomial. This equivalent has a direct relationship with a discrete transfer function which captures the dominant parameters embedded in the speed machine signals. The method is tested with corrupted noisy signals showing that it may be applied to real signals. The developed methodology is applicable to determine the oscillation parameters of speed signals of the 16-Machine 68-bus NPCC power system.

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