Control of Large Wind Energy Systems for Acoustic Noise Reduction by Using Multi-Objective Optimal Control

Autores
Rivarola, Dora Fanny Andrea; Gambier, Adrian
Año de publicación
2023
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
An important restriction to the social acceptance of the wind energy systems is the acoustic noise that they introduce into the environment, particularly during the night hours in settlements close to the wind farms. This problem is solved by reducing the rotational speed of the machines with a corresponding power loss. The usual way to do this is to switch the set point of the rotor speed between day and night operations. The present contribution studies the problem and proposes two control system configurations that try to minimize the power losses by tracking and adjusting the rotational speed. The concept is based on two controllers working cooperatively. The controller tuning is carried out by using a game-theoretic approach solved by multi-objective optimization. The simulation results show an improvement with respect to the common procedure, such that it looks promising for the application to real machines.
Fil: Rivarola, Dora Fanny Andrea. Instituto Nacional de Tecnología Industrial. Dirección Operativa. Gerencia Operativa de Asistencia Regional. Subgerencia Operativa Regional Cuyo. Dirección Técnica Indust. Extractivas y Manufactureras Cuyo. Departamento de Producción Sustentable Cuyo (INTI-GOAR); Argentina
Fil: Gambier, Adrian. Fraunhofer-Gesellschaft (Fraunhofer); Alemania
Fuente
IFAC-PapersOnline, Volume 56, Issue 2, 2023
Materia
Ruido
Control del ruido
Control acústico
Turbinas
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/4.0/
Repositorio
Repositorio Institucional del Instituto Nacional de Tecnología Industrial (INTI)
Institución
Instituto Nacional de Tecnología Industrial
OAI Identificador
nuevadc:2025RivarolaAndrea_pdf
Acceder
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oai_identifier_str nuevadc:2025RivarolaAndrea_pdf
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network_name_str Repositorio Institucional del Instituto Nacional de Tecnología Industrial (INTI)
spelling Control of Large Wind Energy Systems for Acoustic Noise Reduction by Using Multi-Objective Optimal ControlRivarola, Dora Fanny AndreaGambier, AdrianRuidoControl del ruidoControl acústicoTurbinasAn important restriction to the social acceptance of the wind energy systems is the acoustic noise that they introduce into the environment, particularly during the night hours in settlements close to the wind farms. This problem is solved by reducing the rotational speed of the machines with a corresponding power loss. The usual way to do this is to switch the set point of the rotor speed between day and night operations. The present contribution studies the problem and proposes two control system configurations that try to minimize the power losses by tracking and adjusting the rotational speed. The concept is based on two controllers working cooperatively. The controller tuning is carried out by using a game-theoretic approach solved by multi-objective optimization. The simulation results show an improvement with respect to the common procedure, such that it looks promising for the application to real machines.Fil: Rivarola, Dora Fanny Andrea. Instituto Nacional de Tecnología Industrial. Dirección Operativa. Gerencia Operativa de Asistencia Regional. Subgerencia Operativa Regional Cuyo. Dirección Técnica Indust. Extractivas y Manufactureras Cuyo. Departamento de Producción Sustentable Cuyo (INTI-GOAR); ArgentinaFil: Gambier, Adrian. Fraunhofer-Gesellschaft (Fraunhofer); AlemaniaElsevier2023info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf2025RivarolaAndrea.pdfhttps://app.inti.gob.ar/greenstone3/sites/localsite/collect/nuevadc/index/assoc/2025Riva/rolaAndr.dir/doc.pdfIFAC-PapersOnline, Volume 56, Issue 2, 2023reponame:Repositorio Institucional del Instituto Nacional de Tecnología Industrial (INTI)instname:Instituto Nacional de Tecnología Industrialenginfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/4.0/openAccess2025-10-23T11:20:25Znuevadc:2025RivarolaAndrea_pdfinstacron:INTIInstitucionalhttps://app.inti.gob.ar/greenstone3/biblioOrganismo científico-tecnológicohttps://argentina.gob.ar/intihttps://app.inti.gob.ar/greenstone3/oaiserver?verb=Identifypfalcato@inti.gob.arArgentinaopendoar:2025-10-23 11:20:26.989Repositorio Institucional del Instituto Nacional de Tecnología Industrial (INTI) - Instituto Nacional de Tecnología Industrialfalse
dc.title.none.fl_str_mv Control of Large Wind Energy Systems for Acoustic Noise Reduction by Using Multi-Objective Optimal Control
title Control of Large Wind Energy Systems for Acoustic Noise Reduction by Using Multi-Objective Optimal Control
spellingShingle Control of Large Wind Energy Systems for Acoustic Noise Reduction by Using Multi-Objective Optimal Control
Rivarola, Dora Fanny Andrea
Ruido
Control del ruido
Control acústico
Turbinas
title_short Control of Large Wind Energy Systems for Acoustic Noise Reduction by Using Multi-Objective Optimal Control
title_full Control of Large Wind Energy Systems for Acoustic Noise Reduction by Using Multi-Objective Optimal Control
title_fullStr Control of Large Wind Energy Systems for Acoustic Noise Reduction by Using Multi-Objective Optimal Control
title_full_unstemmed Control of Large Wind Energy Systems for Acoustic Noise Reduction by Using Multi-Objective Optimal Control
title_sort Control of Large Wind Energy Systems for Acoustic Noise Reduction by Using Multi-Objective Optimal Control
dc.creator.none.fl_str_mv Rivarola, Dora Fanny Andrea
Gambier, Adrian
author Rivarola, Dora Fanny Andrea
author_facet Rivarola, Dora Fanny Andrea
Gambier, Adrian
author_role author
author2 Gambier, Adrian
author2_role author
dc.subject.none.fl_str_mv Ruido
Control del ruido
Control acústico
Turbinas
topic Ruido
Control del ruido
Control acústico
Turbinas
dc.description.none.fl_txt_mv An important restriction to the social acceptance of the wind energy systems is the acoustic noise that they introduce into the environment, particularly during the night hours in settlements close to the wind farms. This problem is solved by reducing the rotational speed of the machines with a corresponding power loss. The usual way to do this is to switch the set point of the rotor speed between day and night operations. The present contribution studies the problem and proposes two control system configurations that try to minimize the power losses by tracking and adjusting the rotational speed. The concept is based on two controllers working cooperatively. The controller tuning is carried out by using a game-theoretic approach solved by multi-objective optimization. The simulation results show an improvement with respect to the common procedure, such that it looks promising for the application to real machines.
Fil: Rivarola, Dora Fanny Andrea. Instituto Nacional de Tecnología Industrial. Dirección Operativa. Gerencia Operativa de Asistencia Regional. Subgerencia Operativa Regional Cuyo. Dirección Técnica Indust. Extractivas y Manufactureras Cuyo. Departamento de Producción Sustentable Cuyo (INTI-GOAR); Argentina
Fil: Gambier, Adrian. Fraunhofer-Gesellschaft (Fraunhofer); Alemania
description An important restriction to the social acceptance of the wind energy systems is the acoustic noise that they introduce into the environment, particularly during the night hours in settlements close to the wind farms. This problem is solved by reducing the rotational speed of the machines with a corresponding power loss. The usual way to do this is to switch the set point of the rotor speed between day and night operations. The present contribution studies the problem and proposes two control system configurations that try to minimize the power losses by tracking and adjusting the rotational speed. The concept is based on two controllers working cooperatively. The controller tuning is carried out by using a game-theoretic approach solved by multi-objective optimization. The simulation results show an improvement with respect to the common procedure, such that it looks promising for the application to real machines.
publishDate 2023
dc.date.none.fl_str_mv 2023
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv 2025RivarolaAndrea.pdf
https://app.inti.gob.ar/greenstone3/sites/localsite/collect/nuevadc/index/assoc/2025Riva/rolaAndr.dir/doc.pdf
identifier_str_mv 2025RivarolaAndrea.pdf
url https://app.inti.gob.ar/greenstone3/sites/localsite/collect/nuevadc/index/assoc/2025Riva/rolaAndr.dir/doc.pdf
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/4.0/
openAccess
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0/
openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv IFAC-PapersOnline, Volume 56, Issue 2, 2023
reponame:Repositorio Institucional del Instituto Nacional de Tecnología Industrial (INTI)
instname:Instituto Nacional de Tecnología Industrial
reponame_str Repositorio Institucional del Instituto Nacional de Tecnología Industrial (INTI)
collection Repositorio Institucional del Instituto Nacional de Tecnología Industrial (INTI)
instname_str Instituto Nacional de Tecnología Industrial
repository.name.fl_str_mv Repositorio Institucional del Instituto Nacional de Tecnología Industrial (INTI) - Instituto Nacional de Tecnología Industrial
repository.mail.fl_str_mv pfalcato@inti.gob.ar
_version_ 1846789564425830400
score 12.471625

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