Abstract
An on-line scheme for monitoring the parameters of the signal components contained in a short-time record of power system data is proposed based on a linear predictive coding algorithm (LPCA). The information is displayed in decreasing order of importance but with increasing amounts of computation, such that the essentials are known in the shortest possible time with a complete picture available after a certain time. It is shown that the measured power system signal can be generated by a linear model and the coefficients of the numerator and denominator polynomials of its transfer function, which are called linear predictive code (LPC), completely characterize the signal so that the LPC estimates are used to compute the signal parameters such as the presence or absence of critical modes, frequency, degree of damping and the amplitude of the signal components, and finally the future signal values. The proposed scheme is evaluated with a real-time simulation of various power system dynamic oscillations.
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