Applying a Kalman smoother to synchrophasoi estimation

Abstract

Electrical waveform phasor measurements are receiving an increasing interest due to their key role in high-performance monitoring of future smart grids. In particular, different estimation algorithms based on a dynamic phasor model have been recently proposed in order to comply with the strict requirements needed to accurately track amplitude, phase, and frequency changes of power waveforms in distribution systems. In this paper, a Kalman smoother based on a dynamic phasor model is proposed to estimate amplitude, phase, frequency and rate of change of frequency of the collected waveforms. The accuracy of the proposed approach is evaluated through simulations in different conditions described in the Standard IEEE C37.118.1-2011 and a comparison with a state-of-the-art method is performed.