Predictive Frequency-Based Sequence Estimator for Control of Grid-Tied Converters Under Highly Distorted Conditions

This paper proposes a novel frequency-based predictive sequence estimator that allows for the isolation of voltages and currents harmonic components, needed for the control of grid-tied converters. The proposed method relays on an enhanced sliding Goertzel transformation (SGT) by adding a predictive estimator with a prediction horizon equal to the SGT processing window. The performance of the proposed method is compared with the well-established DSOGI alternative, proving a higher estimation bandwidth as well as improved immunity to changes in the magnitude, frequency, and phase of the tracked signals. Additionally, the closed-loop performance in a current-controlled grid-tied inverter using the proposed sequence extractor is analyzed. The presented results allow us to quantitatively measure the estimator impact over the power converter performance in a real application.