CHC and SA applied to the distribution of wind turbines on irregular fields

Autores
Bilbao, Martín; Alba, Enrique
Año de publicación
2010
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
In this article we analyze two kinds of metaheuristic algorithms and random search algorithm applied to distribution of wind turbines in a wind farm. The basic idea is to utilize CHC (a sort of GA) and Simulated Annealing algorithms to obtain an acceptable configuration of wind turbines in the wind farm that maximizes the total output energy and minimize the number of wind turbines used. The energy produced depends of the farm geometry, wind conditions and the terrain where it is settled. In this work, the terrain is irregular and we will analyze two study farm scenarios with a real wind distribution of Comodoro Rivadavia city in Argentina and we will apply both algorithms to analyze the performance of the algorithms and the behavior of the computed wind farm designs.
Presentado en XI Workshop Agentes y Sistemas Inteligentes (WASI)
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
Simulated annealing
Optimization
Heuristic methods
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/18811
Acceder
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network_name_str SEDICI (UNLP)
spelling CHC and SA applied to the distribution of wind turbines on irregular fieldsBilbao, MartínAlba, EnriqueCiencias InformáticasSimulated annealingOptimizationHeuristic methodsIn this article we analyze two kinds of metaheuristic algorithms and random search algorithm applied to distribution of wind turbines in a wind farm. The basic idea is to utilize CHC (a sort of GA) and Simulated Annealing algorithms to obtain an acceptable configuration of wind turbines in the wind farm that maximizes the total output energy and minimize the number of wind turbines used. The energy produced depends of the farm geometry, wind conditions and the terrain where it is settled. In this work, the terrain is irregular and we will analyze two study farm scenarios with a real wind distribution of Comodoro Rivadavia city in Argentina and we will apply both algorithms to analyze the performance of the algorithms and the behavior of the computed wind farm designs.Presentado en XI Workshop Agentes y Sistemas Inteligentes (WASI)Red de Universidades con Carreras en Informática (RedUNCI)2010-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf72-81http://sedici.unlp.edu.ar/handle/10915/18811enginfo:eu-repo/semantics/altIdentifier/isbn/978-950-9474-49-9info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T10:53:37Zoai:sedici.unlp.edu.ar:10915/18811Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 10:53:37.622SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv CHC and SA applied to the distribution of wind turbines on irregular fields
title CHC and SA applied to the distribution of wind turbines on irregular fields
spellingShingle CHC and SA applied to the distribution of wind turbines on irregular fields
Bilbao, Martín
Ciencias Informáticas
Simulated annealing
Optimization
Heuristic methods
title_short CHC and SA applied to the distribution of wind turbines on irregular fields
title_full CHC and SA applied to the distribution of wind turbines on irregular fields
title_fullStr CHC and SA applied to the distribution of wind turbines on irregular fields
title_full_unstemmed CHC and SA applied to the distribution of wind turbines on irregular fields
title_sort CHC and SA applied to the distribution of wind turbines on irregular fields
dc.creator.none.fl_str_mv Bilbao, Martín
Alba, Enrique
author Bilbao, Martín
author_facet Bilbao, Martín
Alba, Enrique
author_role author
author2 Alba, Enrique
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
Simulated annealing
Optimization
Heuristic methods
topic Ciencias Informáticas
Simulated annealing
Optimization
Heuristic methods
dc.description.none.fl_txt_mv In this article we analyze two kinds of metaheuristic algorithms and random search algorithm applied to distribution of wind turbines in a wind farm. The basic idea is to utilize CHC (a sort of GA) and Simulated Annealing algorithms to obtain an acceptable configuration of wind turbines in the wind farm that maximizes the total output energy and minimize the number of wind turbines used. The energy produced depends of the farm geometry, wind conditions and the terrain where it is settled. In this work, the terrain is irregular and we will analyze two study farm scenarios with a real wind distribution of Comodoro Rivadavia city in Argentina and we will apply both algorithms to analyze the performance of the algorithms and the behavior of the computed wind farm designs.
Presentado en XI Workshop Agentes y Sistemas Inteligentes (WASI)
Red de Universidades con Carreras en Informática (RedUNCI)
description In this article we analyze two kinds of metaheuristic algorithms and random search algorithm applied to distribution of wind turbines in a wind farm. The basic idea is to utilize CHC (a sort of GA) and Simulated Annealing algorithms to obtain an acceptable configuration of wind turbines in the wind farm that maximizes the total output energy and minimize the number of wind turbines used. The energy produced depends of the farm geometry, wind conditions and the terrain where it is settled. In this work, the terrain is irregular and we will analyze two study farm scenarios with a real wind distribution of Comodoro Rivadavia city in Argentina and we will apply both algorithms to analyze the performance of the algorithms and the behavior of the computed wind farm designs.
publishDate 2010
dc.date.none.fl_str_mv 2010-10
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/18811
url http://sedici.unlp.edu.ar/handle/10915/18811
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/978-950-9474-49-9
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
dc.format.none.fl_str_mv application/pdf
72-81
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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