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Repositorio de la Universidad de Oviedo. > Producción Bibliográfica de UniOvi: RECOPILA > Artículos >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10651/48483

Title: Predictive frequency-based sequence estimator for control of grid-tied converters under highly distorted conditions
Author(s): Blanco Charro, Cristian
García Fernández, Pablo
Navarro Rodríguez, Ángel
Sumner, Mark
Issue date: 12-Jun-2018
Publisher: IEEE
Publisher version: https://doi.org/10.1109/TIA.2018.2846552
Citation: IEEE Transactions on Industry Applications (2018); doi:10.1109/TIA.2018.2846552
Abstract: 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
URI: http://hdl.handle.net/10651/48483
ISSN: 0093-9994
1939-9367
Sponsored: El presente trabajo ha sido parcialmente financiado por las becas predoctorales programa Severo Ochoa para la formación en investigación y docencia universitaria de Principado de Asturias, PCTI-FICYT, ID BP14-135. También apoyado por el Gobierno de España, Ministerio de Economía y Competitividad, ENE2016-77919-R, y por la Unión Europea a través de los Fondos FEDER
Project id.: Principado de Asturias/ID BP14-135
MINECO/ENE2016-77919-R
Appears in Collections:Artículos
Ingeniería Eléctrica, Electrónica, de Computadores y Sistemas
Investigaciones y Documentos OpenAIRE

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