Enhanced PI control based SHC-PWM strategy for active power filters

[EN] Low-switching frequency modulation techniques, such as selective harmonic control-pulsewidth modulation (SHC-PWM), have been recently proposed for high-power medium-voltage active power filter (APF) application. Compared to high-switching frequency modulation techniques, these methods reduce th...

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Autores: Ibáñez Hidalgo, Irati, Cuzmar Leiva, Rodrigo, Sánchez Ruiz, Alain, Pérez Basante, Angel Luis, Zubizarreta Pico, Asier, Ceballos Recio, Salvador
Tipo de documento: artigo
Data de publicação:2024
País:España
Recursos:Universidad del País Vasco
Repositório:Addi. Archivo Digital para la Docencia y la Investigación
OAI Identifier:oai:addi.ehu.eus:10810/71505
Acesso em linha:http://hdl.handle.net/10810/71505
Access Level:Acceso aberto
Palavra-chave:power harmonic filters
harmonic analysis
active filters
modulation
digital filters
Power system stability
power system dynamics
PI control
frequency modulation
Kalman filters
pulse width modulation
active power filter (APF)
digital filter
Kalman filter (KF)
moving average filter (MAF)
proportional-integral (PI) controller
selective harmonic control-pulsewidth modulation (SHC-PWM)
Smith predictor
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oai_identifier_str oai:addi.ehu.eus:10810/71505
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spelling Enhanced PI control based SHC-PWM strategy for active power filtersIbáñez Hidalgo, IratiCuzmar Leiva, RodrigoSánchez Ruiz, AlainPérez Basante, Angel LuisZubizarreta Pico, AsierCeballos Recio, Salvadorpower harmonic filtersharmonic analysisactive filtersmodulationdigital filtersPower system stabilitypower system dynamicsPI controlfrequency modulationKalman filterspulse width modulationactive power filter (APF)digital filterKalman filter (KF)moving average filter (MAF)proportional-integral (PI) controllerselective harmonic control-pulsewidth modulation (SHC-PWM)Smith predictor[EN] Low-switching frequency modulation techniques, such as selective harmonic control-pulsewidth modulation (SHC-PWM), have been recently proposed for high-power medium-voltage active power filter (APF) application. Compared to high-switching frequency modulation techniques, these methods reduce the switching losses and avoid derrating the current. This results in enhanced power density and efficiency, and facilitates a reduction in costs. However, the low-switching frequency tends to worsen the closed-loop dynamic response and system stability if countermeasures are not taken during the design process of the closed-loop controllers. Moreover, the digital filter used to obtain the harmonic components of the measured signals introduces a delay that can affect the stability and performance of the closed-loop control. This work presents different methods to improve the dynamic response of traditional proportional-integral based closed-loop controllers, which are applied along with SHC-PWM for high-power medium-voltage APFs. A current predictor that substitutes the traditional cross-coupling terms and a Smith predictor are proposed to compensate the delay introduced by the digital filters. In addition, different digital filter implementations are analyzed and compared in terms of dynamic and stationary response with the aim of improving the harmonic estimation from the measured signals. Experimental results for a 3-level NPC converter are provided to verify the effectiveness of the control.This work was supported by the Basque Country Government within the research programs ELKARTEK under Grant AI4DER KK-2023/00083 and BIKAINTEK under Grant 005-B2-2020, in part by the Basque Government under Grant IT1726-22 and in part by the Australian Government through the Australian Research Council under Grant DP240102646.IEEE202520252024info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10810/71505reponame:Addi. Archivo Digital para la Docencia y la Investigacióninstname:Universidad del País VascoIngléshttps://ieeexplore.ieee.org/document/10726713info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/© 2024 The Authors. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.oai:addi.ehu.eus:10810/715052026-06-18T09:23:17Z
dc.title.none.fl_str_mv Enhanced PI control based SHC-PWM strategy for active power filters
title Enhanced PI control based SHC-PWM strategy for active power filters
spellingShingle Enhanced PI control based SHC-PWM strategy for active power filters
Ibáñez Hidalgo, Irati
power harmonic filters
harmonic analysis
active filters
modulation
digital filters
Power system stability
power system dynamics
PI control
frequency modulation
Kalman filters
pulse width modulation
active power filter (APF)
digital filter
Kalman filter (KF)
moving average filter (MAF)
proportional-integral (PI) controller
selective harmonic control-pulsewidth modulation (SHC-PWM)
Smith predictor
title_short Enhanced PI control based SHC-PWM strategy for active power filters
title_full Enhanced PI control based SHC-PWM strategy for active power filters
title_fullStr Enhanced PI control based SHC-PWM strategy for active power filters
title_full_unstemmed Enhanced PI control based SHC-PWM strategy for active power filters
title_sort Enhanced PI control based SHC-PWM strategy for active power filters
dc.creator.none.fl_str_mv Ibáñez Hidalgo, Irati
Cuzmar Leiva, Rodrigo
Sánchez Ruiz, Alain
Pérez Basante, Angel Luis
Zubizarreta Pico, Asier
Ceballos Recio, Salvador
author Ibáñez Hidalgo, Irati
author_facet Ibáñez Hidalgo, Irati
Cuzmar Leiva, Rodrigo
Sánchez Ruiz, Alain
Pérez Basante, Angel Luis
Zubizarreta Pico, Asier
Ceballos Recio, Salvador
author_role author
author2 Cuzmar Leiva, Rodrigo
Sánchez Ruiz, Alain
Pérez Basante, Angel Luis
Zubizarreta Pico, Asier
Ceballos Recio, Salvador
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv power harmonic filters
harmonic analysis
active filters
modulation
digital filters
Power system stability
power system dynamics
PI control
frequency modulation
Kalman filters
pulse width modulation
active power filter (APF)
digital filter
Kalman filter (KF)
moving average filter (MAF)
proportional-integral (PI) controller
selective harmonic control-pulsewidth modulation (SHC-PWM)
Smith predictor
topic power harmonic filters
harmonic analysis
active filters
modulation
digital filters
Power system stability
power system dynamics
PI control
frequency modulation
Kalman filters
pulse width modulation
active power filter (APF)
digital filter
Kalman filter (KF)
moving average filter (MAF)
proportional-integral (PI) controller
selective harmonic control-pulsewidth modulation (SHC-PWM)
Smith predictor
description [EN] Low-switching frequency modulation techniques, such as selective harmonic control-pulsewidth modulation (SHC-PWM), have been recently proposed for high-power medium-voltage active power filter (APF) application. Compared to high-switching frequency modulation techniques, these methods reduce the switching losses and avoid derrating the current. This results in enhanced power density and efficiency, and facilitates a reduction in costs. However, the low-switching frequency tends to worsen the closed-loop dynamic response and system stability if countermeasures are not taken during the design process of the closed-loop controllers. Moreover, the digital filter used to obtain the harmonic components of the measured signals introduces a delay that can affect the stability and performance of the closed-loop control. This work presents different methods to improve the dynamic response of traditional proportional-integral based closed-loop controllers, which are applied along with SHC-PWM for high-power medium-voltage APFs. A current predictor that substitutes the traditional cross-coupling terms and a Smith predictor are proposed to compensate the delay introduced by the digital filters. In addition, different digital filter implementations are analyzed and compared in terms of dynamic and stationary response with the aim of improving the harmonic estimation from the measured signals. Experimental results for a 3-level NPC converter are provided to verify the effectiveness of the control.
publishDate 2024
dc.date.none.fl_str_mv 2024
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10810/71505
url http://hdl.handle.net/10810/71505
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://ieeexplore.ieee.org/document/10726713
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv IEEE
publisher.none.fl_str_mv IEEE
dc.source.none.fl_str_mv reponame:Addi. Archivo Digital para la Docencia y la Investigación
instname:Universidad del País Vasco
instname_str Universidad del País Vasco
reponame_str Addi. Archivo Digital para la Docencia y la Investigación
collection Addi. Archivo Digital para la Docencia y la Investigación
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,198674

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