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
- Institución
- Instituto Nacional de Tecnología Industrial
- OAI Identificador
- nuevadc:2025RivarolaAndrea_pdf
Ver los metadatos del registro completo
id |
RIINTI_893486ae3bbd12ad39f27588e0ca9f68 |
---|---|
oai_identifier_str |
nuevadc:2025RivarolaAndrea_pdf |
network_acronym_str |
RIINTI |
repository_id_str |
|
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/openAccess2025-09-29T15:02:06Znuevadc: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:2025-09-29 15:02:06.731Repositorio 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_ |
1844623656079065088 |
score |
12.559606 |