DFT-based Phasor Estimator using a MAF with a Phase-Lead Compensator

© 2021 IEEE.Due to the advancing complexity of the electric grid, phasor estimators are becoming essential for monitoring an electric grid, interacting as a wireless sensor network. Such a network comprises low-cost devices capable of running non-demanding algorithms; then, fast yet complex methods, e.g., Kalman filters and the wavelet transform, could not be implemented, and a more straightforward approach is needed. The Fourier filter (FF) is a standard solution since it has a low computational load and incorporates a moving average filter (MAF) that eliminates harmonics, however causing an undesirable phase delay. So then, it is proposed here to add a phase-lead compensator to the MAF to solve the phase delay problem while preserving the algorithm's simplicity. The resulting estimator was compared to the conventional FF and the cosine filter (CF) in IEEE C37.118.1 standardized tests including harmonic, amplitude, and phase angle step changes. The proposal met all the standard requirements, slightly increasing the estimation error, and was also tested over the IEEE 13 node test feeder, showing a faster response than the FF and the CF.

DFT-based Phasor Estimator using a MAF with a Phase-Lead Compensator Academic Article in Scopus