Parametric estimation in photovoltaic modules using the crow search algorithm

The problem of parametric estimation in photovoltaic (PV) modules considering manufacturer information is addressed in this research from the perspective of combinatorial optimization. With the data sheet provided by the PV manufacturer, a non-linear non-convex optimization problem is formulated tha...

Full description

Autores:
Montoya, Oscar Danilo
Ramírez-Vanegas, Carlos Alberto
Grisales-Noreña, Luis Fernando
Tipo de recurso:
Fecha de publicación:
2021
Institución:
Universidad Tecnológica de Bolívar
Repositorio:
Repositorio Institucional UTB
Idioma:
eng
OAI Identifier:
oai:repositorio.utb.edu.co:20.500.12585/10704
Acceso en línea:
https://hdl.handle.net/20.500.12585/10704
Palabra clave:
Crow search algorithm
Manufacturer information
Metaheuristic optimization
Parametric estimation
Photovoltaic modules
Single-diode model
Rights
openAccess
License
http://creativecommons.org/licenses/by-nc-nd/4.0/
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dc.title.spa.fl_str_mv Parametric estimation in photovoltaic modules using the crow search algorithm
title Parametric estimation in photovoltaic modules using the crow search algorithm
spellingShingle Parametric estimation in photovoltaic modules using the crow search algorithm
Crow search algorithm
Manufacturer information
Metaheuristic optimization
Parametric estimation
Photovoltaic modules
Single-diode model
title_short Parametric estimation in photovoltaic modules using the crow search algorithm
title_full Parametric estimation in photovoltaic modules using the crow search algorithm
title_fullStr Parametric estimation in photovoltaic modules using the crow search algorithm
title_full_unstemmed Parametric estimation in photovoltaic modules using the crow search algorithm
title_sort Parametric estimation in photovoltaic modules using the crow search algorithm
dc.creator.fl_str_mv Montoya, Oscar Danilo
Ramírez-Vanegas, Carlos Alberto
Grisales-Noreña, Luis Fernando
dc.contributor.author.none.fl_str_mv Montoya, Oscar Danilo
Ramírez-Vanegas, Carlos Alberto
Grisales-Noreña, Luis Fernando
dc.subject.keywords.spa.fl_str_mv Crow search algorithm
Manufacturer information
Metaheuristic optimization
Parametric estimation
Photovoltaic modules
Single-diode model
topic Crow search algorithm
Manufacturer information
Metaheuristic optimization
Parametric estimation
Photovoltaic modules
Single-diode model
description The problem of parametric estimation in photovoltaic (PV) modules considering manufacturer information is addressed in this research from the perspective of combinatorial optimization. With the data sheet provided by the PV manufacturer, a non-linear non-convex optimization problem is formulated that contains information regarding maximum power, open-circuit, and short-circuit points. To estimate the three parameters of the PV model (i.e., the ideality diode factor (a) and the parallel and series resistances (Rp and Rs)), the crow search algorithm (CSA) is employed, which is a metaheuristic optimization technique inspired by the behavior of the crows searching food deposits. The CSA allows the exploration and exploitation of the solution space through a simple evolution rule derived from the classical PSO method. Numerical simulations reveal the effectiveness and robustness of the CSA to estimate these parameters with objective function values lower than 1 × 10−28 and processing times less than 2 s. All the numerical simulations were developed in MATLAB 2020a and compared with the sine-cosine and vortex search algorithms recently reported in the literature.
publishDate 2021
dc.date.issued.none.fl_str_mv 2021-06-16
dc.date.accessioned.none.fl_str_mv 2022-07-08T13:52:12Z
dc.date.available.none.fl_str_mv 2022-07-08T13:52:12Z
dc.date.submitted.none.fl_str_mv 2022-07-07
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.citation.spa.fl_str_mv Montoya Giraldo, Oscar & Ramírez-Vanegas, Carlos & Grisales-Noreña, Luis. (2022). Parametric estimation in photovoltaic modules using the crow search algorithm. International Journal of Electrical and Computer Engineering. 12. 82-91. 10.11591/ijece.v12i1.pp82-91.
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12585/10704
dc.identifier.doi.none.fl_str_mv 10.11591/ijece.v12i1.pp82-91
dc.identifier.instname.spa.fl_str_mv Universidad Tecnológica de Bolívar
dc.identifier.reponame.spa.fl_str_mv Repositorio Universidad Tecnológica de Bolívar
identifier_str_mv Montoya Giraldo, Oscar & Ramírez-Vanegas, Carlos & Grisales-Noreña, Luis. (2022). Parametric estimation in photovoltaic modules using the crow search algorithm. International Journal of Electrical and Computer Engineering. 12. 82-91. 10.11591/ijece.v12i1.pp82-91.
10.11591/ijece.v12i1.pp82-91
Universidad Tecnológica de Bolívar
Repositorio Universidad Tecnológica de Bolívar
url https://hdl.handle.net/20.500.12585/10704
dc.language.iso.spa.fl_str_mv eng
language eng
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dc.format.extent.none.fl_str_mv 10 Páginas
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.place.spa.fl_str_mv Cartagena de Indias
dc.source.spa.fl_str_mv International Journal of Electrical and Computer Engineering (IJECE) - Vol. 12, No 1 (2021)
institution Universidad Tecnológica de Bolívar
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spelling Montoya, Oscar Danilo8a59ede1-6a4a-4d2e-abdc-d0afb14d4480Ramírez-Vanegas, Carlos Alberto825b66d4-d0d1-419a-97eb-6d3f5cfb6c18Grisales-Noreña, Luis Fernando7c27cda4-5fe4-4686-8f72-b0442c58a5d12022-07-08T13:52:12Z2022-07-08T13:52:12Z2021-06-162022-07-07Montoya Giraldo, Oscar & Ramírez-Vanegas, Carlos & Grisales-Noreña, Luis. (2022). Parametric estimation in photovoltaic modules using the crow search algorithm. International Journal of Electrical and Computer Engineering. 12. 82-91. 10.11591/ijece.v12i1.pp82-91.https://hdl.handle.net/20.500.12585/1070410.11591/ijece.v12i1.pp82-91Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarThe problem of parametric estimation in photovoltaic (PV) modules considering manufacturer information is addressed in this research from the perspective of combinatorial optimization. With the data sheet provided by the PV manufacturer, a non-linear non-convex optimization problem is formulated that contains information regarding maximum power, open-circuit, and short-circuit points. To estimate the three parameters of the PV model (i.e., the ideality diode factor (a) and the parallel and series resistances (Rp and Rs)), the crow search algorithm (CSA) is employed, which is a metaheuristic optimization technique inspired by the behavior of the crows searching food deposits. The CSA allows the exploration and exploitation of the solution space through a simple evolution rule derived from the classical PSO method. Numerical simulations reveal the effectiveness and robustness of the CSA to estimate these parameters with objective function values lower than 1 × 10−28 and processing times less than 2 s. All the numerical simulations were developed in MATLAB 2020a and compared with the sine-cosine and vortex search algorithms recently reported in the literature.10 Páginasapplication/pdfenghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf2International Journal of Electrical and Computer Engineering (IJECE) - Vol. 12, No 1 (2021)Parametric estimation in photovoltaic modules using the crow search algorithminfo:eu-repo/semantics/articleinfo:eu-repo/semantics/restrictedAccesshttp://purl.org/coar/resource_type/c_2df8fbb1Crow search algorithmManufacturer informationMetaheuristic optimizationParametric estimationPhotovoltaic modulesSingle-diode modelCartagena de IndiasM. S. Cengiz and M. S. Mamis¸, “Price-efficiency relationship for photovoltaic systems on a global basis,” International Journal of Photoenergy, vol. 2015, pp. 1–12, 2015, doi: 10.1155/2015/256101A. 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Haque, “A genetic algorithm approach to parameter estimation for PV modules,” in 2016 IEEE Power and Energy Society General Meeting (PESGM), Jul. 2016, doi: 10.1109/PESGM.2016.7741781.http://purl.org/coar/resource_type/c_2df8fbb1ORIGINAL24820-49645-1-PB.pdf24820-49645-1-PB.pdfapplication/pdf427325https://repositorio.utb.edu.co/bitstream/20.500.12585/10704/1/24820-49645-1-PB.pdfc68d0eb216bed060188b464d6dd02829MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8805https://repositorio.utb.edu.co/bitstream/20.500.12585/10704/2/license_rdf4460e5956bc1d1639be9ae6146a50347MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-83182https://repositorio.utb.edu.co/bitstream/20.500.12585/10704/3/license.txte20ad307a1c5f3f25af9304a7a7c86b6MD53TEXT24820-49645-1-PB.pdf.txt24820-49645-1-PB.pdf.txtExtracted 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