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Sine-cosine algorithm for parameters' estimation in solar cells using datasheet information
dc.contributor.author | Montoya, O D | |
dc.contributor.author | Gil-González, Walter | |
dc.contributor.author | Grisales-Noreña, Luis Fernando | |
dc.date.accessioned | 2021-02-16T15:24:40Z | |
dc.date.available | 2021-02-16T15:24:40Z | |
dc.date.issued | 2020 | |
dc.date.submitted | 2021-02-15 | |
dc.identifier.citation | O D Montoya et al 2020 J. Phys.: Conf. Ser. 1671 012008 | spa |
dc.identifier.uri | https://hdl.handle.net/20.500.12585/10030 | |
dc.description.abstract | This 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.extent | 9 páginas | |
dc.format.mimetype | application/pdf | spa |
dc.language.iso | eng | spa |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.source | Journal of Physics: Conference Series, Volume 1671 | spa |
dc.title | Sine-cosine algorithm for parameters' estimation in solar cells using datasheet information | spa |
dcterms.bibliographicCitation | Timilsina 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.bibliographicCitation | Imdadullah M, Ashraf I 2006 Estimation of CO2 mitigation potential through renewable energy generation IEEE International Power and Energy Conference (Putra Jaya: IEEE) | spa |
dcterms.bibliographicCitation | Biswas 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 132 425-438 | spa |
dcterms.bibliographicCitation | Zapata 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) 591-603 | spa |
dcterms.bibliographicCitation | Deshmukh M, Deshmukh S 2008 Modeling of hybrid renewable energy systems Renewable Sustainable Energy Reviews 12(1) 235-249 | spa |
dcterms.bibliographicCitation | Ishaque K, Salam Z, Taheri H 2011 Simple, fast and accurate two-diode model for photovoltaic modules Sol. Energy Mater. Sol. Cells. 95(2) 586-594 | spa |
dcterms.bibliographicCitation | Khanna 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 78 105-113 | spa |
dcterms.bibliographicCitation | Allam 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. 123 535-548 | spa |
dcterms.bibliographicCitation | Jiang 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 112 185-193 | spa |
dcterms.bibliographicCitation | Subudhi B, Pradhan R 2018 Bacterial foraging optimization approach to parameter extraction of a photovoltaic module IEEE Trans. Sustain. Energy 9(1) 381-389 | spa |
dcterms.bibliographicCitation | Fathy A, Rezk H 2017 Parameter estimation of photovoltaic system using imperialist competitive algorithm Renewable Energy 111 307-320 | spa |
dcterms.bibliographicCitation | Attia 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. 99 331-343 | spa |
dcterms.bibliographicCitation | Giraldo 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 012009:1-6 | spa |
dcterms.bibliographicCitation | Li 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) 211-229 | spa |
dcterms.bibliographicCitation | Rizk-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) 180-188 | spa |
dcterms.bibliographicCitation | Rizk-Allah R M 2018 Hybridizing sine cosine algorithm with multi-orthogonal search strategy for engineering design problems J. Comput. Des. Eng. 5(2) 249-273 | spa |
datacite.rights | http://purl.org/coar/access_right/c_abf2 | spa |
oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | spa |
dc.identifier.url | https://iopscience.iop.org/article/10.1088/1742-6596/1671/1/012008 | |
dc.type.driver | info:eu-repo/semantics/lecture | spa |
dc.type.hasversion | info:eu-repo/semantics/publishedVersion | spa |
dc.identifier.doi | 10.1088/1742-6596/1671/1/012008 | |
dc.subject.keywords | Convex optimization | spa |
dc.subject.keywords | MATLAB | spa |
dc.subject.keywords | Mean square error | spa |
dc.subject.keywords | Open circuit voltage | spa |
dc.rights.accessrights | info:eu-repo/semantics/openAccess | spa |
dc.rights.cc | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.identifier.instname | Universidad Tecnológica de Bolívar | spa |
dc.identifier.reponame | Repositorio Universidad Tecnológica de Bolívar | spa |
dc.publisher.place | Cartagena de Indias | spa |
dc.subject.armarc | LEMB | |
dc.type.spa | http://purl.org/coar/resource_type/c_8544 | spa |
dc.audience | Investigadores | spa |
oaire.resourcetype | http://purl.org/coar/resource_type/c_c94f | spa |
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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.