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...
| Main Authors: | , , , |
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| Format: | Article |
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IEEE
2018
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| Online Access: | https://eprints.nottingham.ac.uk/52368/ |
| _version_ | 1848798709233483776 |
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| author | Blanco, Cristian Garcia, Pablo Navarro-Rodríguez, Ángel Sumner, M. |
| author_facet | Blanco, Cristian Garcia, Pablo Navarro-Rodríguez, Ángel Sumner, M. |
| author_sort | Blanco, Cristian |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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 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. |
| first_indexed | 2025-11-14T20:24:05Z |
| format | Article |
| id | nottingham-52368 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T20:24:05Z |
| publishDate | 2018 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-523682020-05-04T19:40:30Z https://eprints.nottingham.ac.uk/52368/ Predictive frequency-based sequence estimator for control of grid-tied converters under highly distorted conditions Blanco, Cristian Garcia, Pablo Navarro-Rodríguez, Ángel Sumner, M. 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 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. IEEE 2018-06-12 Article PeerReviewed 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 https://ieeexplore.ieee.org/document/8382289/ doi:10.1109/TIA.2018.2846552 doi:10.1109/TIA.2018.2846552 |
| spellingShingle | Blanco, Cristian Garcia, Pablo 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/52368/ https://eprints.nottingham.ac.uk/52368/ https://eprints.nottingham.ac.uk/52368/ |