Sine-cosine algorithm for parameters' estimation in solar cells using datasheet information
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 nonline...
- Autores:
-
Montoya, O D
Gil-González, Walter
Grisales-Noreña, Luis Fernando
- Tipo de recurso:
- Fecha de publicación:
- 2020
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/10030
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/10030
https://iopscience.iop.org/article/10.1088/1742-6596/1671/1/012008
- Palabra clave:
- Convex optimization
MATLAB
Mean square error
Open circuit voltage
LEMB
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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|
dc.title.spa.fl_str_mv |
Sine-cosine algorithm for parameters' estimation in solar cells using datasheet information |
title |
Sine-cosine algorithm for parameters' estimation in solar cells using datasheet information |
spellingShingle |
Sine-cosine algorithm for parameters' estimation in solar cells using datasheet information Convex optimization MATLAB Mean square error Open circuit voltage LEMB |
title_short |
Sine-cosine algorithm for parameters' estimation in solar cells using datasheet information |
title_full |
Sine-cosine algorithm for parameters' estimation in solar cells using datasheet information |
title_fullStr |
Sine-cosine algorithm for parameters' estimation in solar cells using datasheet information |
title_full_unstemmed |
Sine-cosine algorithm for parameters' estimation in solar cells using datasheet information |
title_sort |
Sine-cosine algorithm for parameters' estimation in solar cells using datasheet information |
dc.creator.fl_str_mv |
Montoya, O D Gil-González, Walter Grisales-Noreña, Luis Fernando |
dc.contributor.author.none.fl_str_mv |
Montoya, O D Gil-González, Walter Grisales-Noreña, Luis Fernando |
dc.subject.keywords.spa.fl_str_mv |
Convex optimization MATLAB Mean square error Open circuit voltage |
topic |
Convex optimization MATLAB Mean square error Open circuit voltage LEMB |
dc.subject.armarc.none.fl_str_mv |
LEMB |
description |
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. |
publishDate |
2020 |
dc.date.issued.none.fl_str_mv |
2020 |
dc.date.accessioned.none.fl_str_mv |
2021-02-16T15:24:40Z |
dc.date.available.none.fl_str_mv |
2021-02-16T15:24:40Z |
dc.date.submitted.none.fl_str_mv |
2021-02-15 |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/lecture |
dc.type.hasversion.spa.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.spa.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_8544 |
status_str |
publishedVersion |
dc.identifier.citation.spa.fl_str_mv |
O D Montoya et al 2020 J. Phys.: Conf. Ser. 1671 012008 |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12585/10030 |
dc.identifier.url.none.fl_str_mv |
https://iopscience.iop.org/article/10.1088/1742-6596/1671/1/012008 |
dc.identifier.doi.none.fl_str_mv |
10.1088/1742-6596/1671/1/012008 |
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 |
O D Montoya et al 2020 J. Phys.: Conf. Ser. 1671 012008 10.1088/1742-6596/1671/1/012008 Universidad Tecnológica de Bolívar Repositorio Universidad Tecnológica de Bolívar |
url |
https://hdl.handle.net/20.500.12585/10030 https://iopscience.iop.org/article/10.1088/1742-6596/1671/1/012008 |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.uri.*.fl_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
dc.rights.accessrights.spa.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.cc.*.fl_str_mv |
Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://purl.org/coar/access_right/c_abf2 |
eu_rights_str_mv |
openAccess |
dc.format.extent.none.fl_str_mv |
9 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 |
Journal of Physics: Conference Series, Volume 1671 |
institution |
Universidad Tecnológica de Bolívar |
bitstream.url.fl_str_mv |
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Montoya, O Dc350cd1a-09d0-4e77-8444-83ccfd0773e1Gil-González, Walter59bfddb4-d5c7-4bd3-8cbe-49b131a07e1cGrisales-Noreña, Luis Fernando98ba5e2d-fa38-40c5-a05c-d73772e8ab172021-02-16T15:24:40Z2021-02-16T15:24:40Z20202021-02-15O D Montoya et al 2020 J. Phys.: Conf. Ser. 1671 012008https://hdl.handle.net/20.500.12585/10030https://iopscience.iop.org/article/10.1088/1742-6596/1671/1/01200810.1088/1742-6596/1671/1/012008Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarThis 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.9 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_abf2Journal of Physics: Conference Series, Volume 1671Sine-cosine algorithm for parameters' estimation in solar cells using datasheet informationinfo:eu-repo/semantics/lectureinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_8544http://purl.org/coar/version/c_970fb48d4fbd8a85Convex optimizationMATLABMean square errorOpen circuit voltageLEMBCartagena de IndiasInvestigadoresTimilsina 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)Imdadullah M, Ashraf I 2006 Estimation of CO2 mitigation potential through renewable energy generation IEEE International Power and Energy Conference (Putra Jaya: IEEE)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 132 425-438Zapata 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) 591-603Deshmukh M, Deshmukh S 2008 Modeling of hybrid renewable energy systems Renewable Sustainable Energy Reviews 12(1) 235-249Ishaque K, Salam Z, Taheri H 2011 Simple, fast and accurate two-diode model for photovoltaic modules Sol. Energy Mater. Sol. Cells. 95(2) 586-594Khanna 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 78 105-113Allam 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. 123 535-548Jiang 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 112 185-193Subudhi B, Pradhan R 2018 Bacterial foraging optimization approach to parameter extraction of a photovoltaic module IEEE Trans. Sustain. Energy 9(1) 381-389Fathy A, Rezk H 2017 Parameter estimation of photovoltaic system using imperialist competitive algorithm Renewable Energy 111 307-320Attia 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. 99 331-343Giraldo 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 012009:1-6Li 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) 211-229Rizk-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) 180-188Rizk-Allah R M 2018 Hybridizing sine cosine algorithm with multi-orthogonal search strategy for engineering design problems J. Comput. Des. Eng. 5(2) 249-273http://purl.org/coar/resource_type/c_c94fORIGINAL177.pdf177.pdfPonenciaapplication/pdf714512https://repositorio.utb.edu.co/bitstream/20.500.12585/10030/1/177.pdf86782e863f18a7bc697d498867c42ea8MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8805https://repositorio.utb.edu.co/bitstream/20.500.12585/10030/2/license_rdf4460e5956bc1d1639be9ae6146a50347MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-83182https://repositorio.utb.edu.co/bitstream/20.500.12585/10030/3/license.txte20ad307a1c5f3f25af9304a7a7c86b6MD53TEXT177.pdf.txt177.pdf.txtExtracted texttext/plain26074https://repositorio.utb.edu.co/bitstream/20.500.12585/10030/4/177.pdf.txt22c70454a2026cfd877dc14abbd73ae4MD54THUMBNAIL177.pdf.jpg177.pdf.jpgGenerated Thumbnailimage/jpeg35849https://repositorio.utb.edu.co/bitstream/20.500.12585/10030/5/177.pdf.jpg5d1bf22451dce3a8faafe6f85735909cMD5520.500.12585/10030oai:repositorio.utb.edu.co:20.500.12585/100302023-05-26 11:13:32.708Repositorio 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