Instantaneous dynamic phasor estimates with Kalman filter

The state-transition matrix of the κ-th order Taylor approximation to the dynamic phasor and its first derivatives leads to a plurality of state-space representations to approach the bandpass signal model of a power oscillation. With these truncated signal models, the Kalman filter algorithm can be applied to their state vectors in order to find observers able to estimate the dynamic phasor and its first derivatives. The estimates obtained through this technique are not only instantaneous (no delay) but also synchronous, an important attribute for control applications. Even if the results are in their preliminary stage, they are promising and open the way to a new family of phasor estimators.

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