Mostrar el registro sencillo del ítem

dc.contributor.authorMontoya, O D
dc.contributor.authorGil-González, Walter
dc.contributor.authorGrisales-Noreña, Luis Fernando
dc.date.accessioned2021-02-16T15:24:40Z
dc.date.available2021-02-16T15:24:40Z
dc.date.issued2020
dc.date.submitted2021-02-15
dc.identifier.citationO D Montoya et al 2020 J. Phys.: Conf. Ser. 1671 012008spa
dc.identifier.urihttps://hdl.handle.net/20.500.12585/10030
dc.description.abstractThis paper explores the problem of optimal calculation of electrical parameters in solar cells using three well-known operative points provided by manufacturers considering a single-diode model. These are open circuit, short circuit, and maximum power point; with these points is formulated a nonlinear non-convex optimization problem that deals with the minimization of mean square errors associated with variables evaluated at these points, i.e., open-circuit voltage, short circuit current, and current in the maximum power point, respectively. A sine-cosine algorithm is addressed in this research to solve the resulting optimization problem. Numerical results provided by the sine-cosine algorithm show objective functions lower than 1 × 10−12, which confirms the efficiency and robustness of the proposed approach. All the numerical validations are conducted via MATLAB software.spa
dc.format.extent9 páginas
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceJournal of Physics: Conference Series, Volume 1671spa
dc.titleSine-cosine algorithm for parameters' estimation in solar cells using datasheet informationspa
dcterms.bibliographicCitationTimilsina G R, Kurdgelashvili L, Narbel L 2011 A review of solar energy markets, economics and policies Policy Research Working Paper, WPS 5845 (Washington: World Bank Group)spa
dcterms.bibliographicCitationImdadullah M, Ashraf I 2006 Estimation of CO2 mitigation potential through renewable energy generation IEEE International Power and Energy Conference (Putra Jaya: IEEE)spa
dcterms.bibliographicCitationBiswas P P, Suganthan P, Wu G, Amaratunga G A 2019 Parameter estimation of solar cells using datasheet information with the application of an adaptive differential evolution algorithm Renewable Energy 132 425-438spa
dcterms.bibliographicCitationZapata J W, Kouro S, Carrasco G, Renaudineau H, Meynard T A 2019 Analysis of partial power DC–DC converters for two-stage photovoltaic systems IEEE Journal of Emerging and Selected Topics in Power Electronics 7(1) 591-603spa
dcterms.bibliographicCitationDeshmukh M, Deshmukh S 2008 Modeling of hybrid renewable energy systems Renewable Sustainable Energy Reviews 12(1) 235-249spa
dcterms.bibliographicCitationIshaque K, Salam Z, Taheri H 2011 Simple, fast and accurate two-diode model for photovoltaic modules Sol. Energy Mater. Sol. Cells. 95(2) 586-594spa
dcterms.bibliographicCitationKhanna V, Das B, Bisht D, Singh P 2015 A three diode model for industrial solar cells and estimation of solar cell parameters using pso algorithm Renewable Energy 78 105-113spa
dcterms.bibliographicCitationAllam D, Yousri D, Eteiba M 2016 Parameters extraction of the three diode model for the multi-crystalline solar cell/module using moth-flame optimization algorithm Energy Convers. Manage. 123 535-548spa
dcterms.bibliographicCitationJiang L L, Maskell D L, Bisht D, Patra J C 2013 Parameter estimation of solar cells and modules using an improved adaptive differential evolution algorithm Appl. Energy 112 185-193spa
dcterms.bibliographicCitationSubudhi B, Pradhan R 2018 Bacterial foraging optimization approach to parameter extraction of a photovoltaic module IEEE Trans. Sustain. Energy 9(1) 381-389spa
dcterms.bibliographicCitationFathy A, Rezk H 2017 Parameter estimation of photovoltaic system using imperialist competitive algorithm Renewable Energy 111 307-320spa
dcterms.bibliographicCitationAttia A F, Sehiemy R A E, Hasanien H M 2018 Optimal power flow solution in power systems using a novel sine-cosine algorithm Int. J. Electr. Power Energy Syst. 99 331-343spa
dcterms.bibliographicCitationGiraldo J A, Montoya O D, Grisales-Norena L F, Gil-Gonz ˜ alez W, Holgu ´ ´ın M 2019 Optimal power flow solution in direct current grids using sine-cosine algorithm J. Phys. Conf. Ser. 1403 012009:1-6spa
dcterms.bibliographicCitationLi C, Luo Z, Yang F, Fan J, Liu P X 2019 An enhanced brain storm sine cosine algorithm for global optimization problems IEEE Access 7(28) 211-229spa
dcterms.bibliographicCitationRizk-Allah R M, Mageed H M A, El-Sehiemy R A, Aleem E A, Shahat A E 2017 A new sine cosine optimization algorithm for solving combined non-convex economic and emission power dispatch problems Int. J. on Energy Conver. 5(6) 180-188spa
dcterms.bibliographicCitationRizk-Allah R M 2018 Hybridizing sine cosine algorithm with multi-orthogonal search strategy for engineering design problems J. Comput. Des. Eng. 5(2) 249-273spa
datacite.rightshttp://purl.org/coar/access_right/c_abf2spa
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85spa
dc.identifier.urlhttps://iopscience.iop.org/article/10.1088/1742-6596/1671/1/012008
dc.type.driverinfo:eu-repo/semantics/lecturespa
dc.type.hasversioninfo:eu-repo/semantics/publishedVersionspa
dc.identifier.doi10.1088/1742-6596/1671/1/012008
dc.subject.keywordsConvex optimizationspa
dc.subject.keywordsMATLABspa
dc.subject.keywordsMean square errorspa
dc.subject.keywordsOpen circuit voltagespa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.ccAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.identifier.instnameUniversidad Tecnológica de Bolívarspa
dc.identifier.reponameRepositorio Universidad Tecnológica de Bolívarspa
dc.publisher.placeCartagena de Indiasspa
dc.subject.armarcLEMB
dc.type.spahttp://purl.org/coar/resource_type/c_8544spa
dc.audienceInvestigadoresspa
oaire.resourcetypehttp://purl.org/coar/resource_type/c_c94fspa


Ficheros en el ítem

Thumbnail
Thumbnail

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem

http://creativecommons.org/licenses/by-nc-nd/4.0/
http://creativecommons.org/licenses/by-nc-nd/4.0/

Universidad Tecnológica de Bolívar - 2017 Institución de Educación Superior sujeta a inspección y vigilancia por el Ministerio de Educación Nacional. Resolución No 961 del 26 de octubre de 1970 a través de la cual la Gobernación de Bolívar otorga la Personería Jurídica a la Universidad Tecnológica de Bolívar.