Predictive frequency-based sequence estimator for control of grid-tied converters under highly distorted conditions

This paper proposes a novel frequency-based predictive sequence extractor that allows to isolate the harmonic components of both voltages and currents needed for the control of grid-tied converters. The proposed method is based on a modification of the Sliding Goertzel Transformation (SGT) that allo...

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Main Authors: Garcia, Pablo, Blanco, Cristian, Navarro-Rodríguez, Ángel, Sumner, M.
Format: Conference or Workshop Item
Published: 2017
Online Access:https://eprints.nottingham.ac.uk/50507/
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author Garcia, Pablo
Blanco, Cristian
Navarro-Rodríguez, Ángel
Sumner, M.
author_facet Garcia, Pablo
Blanco, Cristian
Navarro-Rodríguez, Ángel
Sumner, M.
author_sort Garcia, Pablo
building Nottingham Research Data Repository
collection Online Access
description This paper proposes a novel frequency-based predictive sequence extractor that allows to isolate the harmonic components of both voltages and currents needed for the control of grid-tied converters. The proposed method is based on a modification of the Sliding Goertzel Transformation (SGT) that allows to include a predictive behavior with a prediction horizon equal to the processing window needed for the algorithm. The technique performance is compared with the well-established DSOGI alternative, allowing for a higher bandwidth in the estimation as well as improved immunity to changes in the magnitude, frequency and phase of the tracked signals. Additionally, the impact of the proposed method on the closed-loop performance of the current controlled converter is proposed as a metric, thus enabling other researches to have a clear view about the expected real impact of the different existing methods.
first_indexed 2025-11-14T20:17:05Z
format Conference or Workshop Item
id nottingham-50507
institution University of Nottingham Malaysia Campus
institution_category Local University
last_indexed 2025-11-14T20:17:05Z
publishDate 2017
recordtype eprints
repository_type Digital Repository
spelling nottingham-505072020-05-04T19:09:19Z https://eprints.nottingham.ac.uk/50507/ Predictive frequency-based sequence estimator for control of grid-tied converters under highly distorted conditions Garcia, Pablo Blanco, Cristian Navarro-Rodríguez, Ángel Sumner, M. This paper proposes a novel frequency-based predictive sequence extractor that allows to isolate the harmonic components of both voltages and currents needed for the control of grid-tied converters. The proposed method is based on a modification of the Sliding Goertzel Transformation (SGT) that allows to include a predictive behavior with a prediction horizon equal to the processing window needed for the algorithm. The technique performance is compared with the well-established DSOGI alternative, allowing for a higher bandwidth in the estimation as well as improved immunity to changes in the magnitude, frequency and phase of the tracked signals. Additionally, the impact of the proposed method on the closed-loop performance of the current controlled converter is proposed as a metric, thus enabling other researches to have a clear view about the expected real impact of the different existing methods. 2017-10-01 Conference or Workshop Item PeerReviewed Garcia, Pablo, Blanco, Cristian, Navarro-Rodríguez, Ángel and Sumner, M. (2017) Predictive frequency-based sequence estimator for control of grid-tied converters under highly distorted conditions. In: 2017 IEEE Energy Conversion Congress and Exposition (ECCE), 1-5 October 2017, Cincinnatti, Ohio, USA. http://ieeexplore.ieee.org/document/8096542/
spellingShingle Garcia, Pablo
Blanco, Cristian
Navarro-Rodríguez, Ángel
Sumner, M.
Predictive frequency-based sequence estimator for control of grid-tied converters under highly distorted conditions
title Predictive frequency-based sequence estimator for control of grid-tied converters under highly distorted conditions
title_full Predictive frequency-based sequence estimator for control of grid-tied converters under highly distorted conditions
title_fullStr Predictive frequency-based sequence estimator for control of grid-tied converters under highly distorted conditions
title_full_unstemmed Predictive frequency-based sequence estimator for control of grid-tied converters under highly distorted conditions
title_short Predictive frequency-based sequence estimator for control of grid-tied converters under highly distorted conditions
title_sort predictive frequency-based sequence estimator for control of grid-tied converters under highly distorted conditions
url https://eprints.nottingham.ac.uk/50507/
https://eprints.nottingham.ac.uk/50507/