Predictive frequency-based sequence estimator for control of grid-tied converters under highly distorted conditionsTools Blanco, Cristian, Garcia, Pablo, Navarro-Rodríguez, Ángel and Sumner, M. (2018) Predictive frequency-based sequence estimator for control of grid-tied converters under highly distorted conditions. IEEE Transactions on Industry Applications . ISSN 1939-9367 Full text not available from this repository.
Official URL: https://ieeexplore.ieee.org/document/8382289/
AbstractThis 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 close-loop performance in a current-controlled grid-tied inverter using the proposed sequence extractor is analyzed. The presented results allow to quantitatively measure the estimator impact over the power converter performance in a real application.
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