Three-Phase Synchrophasor Estimation Through Taylor Extended Kalman Filter

Synchronized phasor and frequency measurements are key tools for the monitoring and management of modern power systems. In a dynamic scenario, it is fundamental to define algorithms that allow accurately measuring time-varying signals, with short latencies and high reporting rates. A dynamic phasor model can help the design of these algorithms and, in particular, of those based on Kalman filtering approach. In this paper, an Extended Kalman filter formulation that considers the Taylor expansions of amplitudes and phase angles in three-phase signals is introduced. The proposed dynamic model takes into account the inherent relationship among the phases and includes harmonics in a effective way. The performance of the method permitting both synchrophasor and frequency measurements are assessed by simulations, considering also the combined effect of dynamics and disturbances. The algorithm shows tracking capabilities and the flexibility which is mandatory to deal with different conditions.