A versatile multi-method ensemble for wind farm layout optimization

In this paper, the performance of a multi-method ensemble for optimization in a turbine layout problem for wind farms is discussed. Specifically, the Coral Reefs Optimization algorithm with Substrate Layer (CRO-SL) is evaluated. The CRO-SL is an evolutionary-type meta-heuristic, able to combine diff...

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Autores: Pérez Aracil, Jorge|||0000-0002-4456-9886, Casillas Pérez, David|||0000-0002-5721-1242, Jiménez Fernández, Silvia|||0000-0002-2065-1754, Prieto Godino, Luis, Salcedo Sanz, Sancho|||0000-0002-4048-1676
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universidad de Alcalá (UAH)
Repositorio:e_Buah Biblioteca Digital Universidad de Alcalá
Idioma:inglés
OAI Identifier:oai:ebuah.uah.es:10017/63063
Acceso en línea:http://hdl.handle.net/10017/63063
https://dx.doi.org/10.1016/j.jweia.2022.104991
Access Level:acceso abierto
Palabra clave:Wind farm design
Turbines layout
Evolutionary ensembles
Meta-heuristics
Telecomunicaciones
Telecommunication
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spelling A versatile multi-method ensemble for wind farm layout optimizationPérez Aracil, Jorge|||0000-0002-4456-9886Casillas Pérez, David|||0000-0002-5721-1242Jiménez Fernández, Silvia|||0000-0002-2065-1754Prieto Godino, LuisSalcedo Sanz, Sancho|||0000-0002-4048-1676Wind farm designTurbines layoutEvolutionary ensemblesMeta-heuristicsTelecomunicacionesTelecommunicationIn this paper, the performance of a multi-method ensemble for optimization in a turbine layout problem for wind farms is discussed. Specifically, the Coral Reefs Optimization algorithm with Substrate Layer (CRO-SL) is evaluated. The CRO-SL is an evolutionary-type meta-heuristic, able to combine different search procedures or methods within a single population, leading to a multi-method ensemble. The CRO-SL has been adapted to the wind turbines layout problem by including a discrete encoding, based on sparse matrices (though it can also work over continuous encodings) and a convex geometric procedure to speed-up the wake effect calculation for each turbine. The performance of the proposed CRO-SL algorithm in the turbine layout problem is evaluated by means of different experiments, considering simulated and real data from a wind farm in Spain. The performance of the CRO-SL is also evaluated in a different wind turbine layout problem from a NREL-IEA case competition. The contribution of each substrate of the CRO-SL algorithm (search procedure) is discussed in terms of the global search ability of the algorithm in the different problems considered. The global performance of the proposed approach has been finally compared to that of existing approaches in the literature, obtaining excellent results in all scenarios considered.Agencia Estatal de InvestigaciónComunidad de MadridElsevier20222022-06-01journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10017/63063https://dx.doi.org/10.1016/j.jweia.2022.104991reponame:e_Buah Biblioteca Digital Universidad de Alcaláinstname:Universidad de Alcalá (UAH)InglésengAgencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2020-115454GB-C21 NUEVOS ALGORITMOS NEURO-EVOLUTIVOS PARA CLASIFICACION ORDINAL: APLICACIONES EN CLIMA, ENERGIAS LIMPIAS Y MEDIO AMBIENTEComunidad de Madrid http://dx.doi.org/10.13039/100012818 Not available S2018%2FEMT4366 PROgrama Microredes INTeligentes-CMopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:ebuah.uah.es:10017/630632026-06-18T11:13:07Z
dc.title.none.fl_str_mv A versatile multi-method ensemble for wind farm layout optimization
title A versatile multi-method ensemble for wind farm layout optimization
spellingShingle A versatile multi-method ensemble for wind farm layout optimization
Pérez Aracil, Jorge|||0000-0002-4456-9886
Wind farm design
Turbines layout
Evolutionary ensembles
Meta-heuristics
Telecomunicaciones
Telecommunication
title_short A versatile multi-method ensemble for wind farm layout optimization
title_full A versatile multi-method ensemble for wind farm layout optimization
title_fullStr A versatile multi-method ensemble for wind farm layout optimization
title_full_unstemmed A versatile multi-method ensemble for wind farm layout optimization
title_sort A versatile multi-method ensemble for wind farm layout optimization
dc.creator.none.fl_str_mv Pérez Aracil, Jorge|||0000-0002-4456-9886
Casillas Pérez, David|||0000-0002-5721-1242
Jiménez Fernández, Silvia|||0000-0002-2065-1754
Prieto Godino, Luis
Salcedo Sanz, Sancho|||0000-0002-4048-1676
author Pérez Aracil, Jorge|||0000-0002-4456-9886
author_facet Pérez Aracil, Jorge|||0000-0002-4456-9886
Casillas Pérez, David|||0000-0002-5721-1242
Jiménez Fernández, Silvia|||0000-0002-2065-1754
Prieto Godino, Luis
Salcedo Sanz, Sancho|||0000-0002-4048-1676
author_role author
author2 Casillas Pérez, David|||0000-0002-5721-1242
Jiménez Fernández, Silvia|||0000-0002-2065-1754
Prieto Godino, Luis
Salcedo Sanz, Sancho|||0000-0002-4048-1676
author2_role author
author
author
author
dc.subject.none.fl_str_mv Wind farm design
Turbines layout
Evolutionary ensembles
Meta-heuristics
Telecomunicaciones
Telecommunication
topic Wind farm design
Turbines layout
Evolutionary ensembles
Meta-heuristics
Telecomunicaciones
Telecommunication
description In this paper, the performance of a multi-method ensemble for optimization in a turbine layout problem for wind farms is discussed. Specifically, the Coral Reefs Optimization algorithm with Substrate Layer (CRO-SL) is evaluated. The CRO-SL is an evolutionary-type meta-heuristic, able to combine different search procedures or methods within a single population, leading to a multi-method ensemble. The CRO-SL has been adapted to the wind turbines layout problem by including a discrete encoding, based on sparse matrices (though it can also work over continuous encodings) and a convex geometric procedure to speed-up the wake effect calculation for each turbine. The performance of the proposed CRO-SL algorithm in the turbine layout problem is evaluated by means of different experiments, considering simulated and real data from a wind farm in Spain. The performance of the CRO-SL is also evaluated in a different wind turbine layout problem from a NREL-IEA case competition. The contribution of each substrate of the CRO-SL algorithm (search procedure) is discussed in terms of the global search ability of the algorithm in the different problems considered. The global performance of the proposed approach has been finally compared to that of existing approaches in the literature, obtaining excellent results in all scenarios considered.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-06-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10017/63063
https://dx.doi.org/10.1016/j.jweia.2022.104991
url http://hdl.handle.net/10017/63063
https://dx.doi.org/10.1016/j.jweia.2022.104991
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2020-115454GB-C21 NUEVOS ALGORITMOS NEURO-EVOLUTIVOS PARA CLASIFICACION ORDINAL: APLICACIONES EN CLIMA, ENERGIAS LIMPIAS Y MEDIO AMBIENTE
Comunidad de Madrid http://dx.doi.org/10.13039/100012818 Not available S2018%2FEMT4366 PROgrama Microredes INTeligentes-CM
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv 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 reponame:e_Buah Biblioteca Digital Universidad de Alcalá
instname:Universidad de Alcalá (UAH)
instname_str Universidad de Alcalá (UAH)
reponame_str e_Buah Biblioteca Digital Universidad de Alcalá
collection e_Buah Biblioteca Digital Universidad de Alcalá
repository.name.fl_str_mv
repository.mail.fl_str_mv
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