Sine-cosine optimization approach applied to the parametric estimation in single-phase transformers by considering voltage and current measures

In this article, a combinatorial optimization approach for estimating the electrical parameters in single-phase distribution transformers by considering voltage and current measures is presented. A nonlinear programming model was formulated to represent the parametric estimation problem. This mathem...

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Autores:
Bocanegra, Sara Yulieth
Montoya, Oscar Danilo
Molina-Cabrera, Alexander
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:20.500.12585/12178
Acceso en línea:
https://hdl.handle.net/20.500.12585/12178
Palabra clave:
Metaheuristic optimization
Nonlinear programming model
Parametric estimation in single-phase transformers
Sine-cosine algorithm
Voltage and current measures
Rights
openAccess
License
http://creativecommons.org/licenses/by-nc-nd/4.0/
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dc.title.spa.fl_str_mv Sine-cosine optimization approach applied to the parametric estimation in single-phase transformers by considering voltage and current measures
dc.title.alternative.spa.fl_str_mv Algoritmo de optimización por senos y cosenos aplicado al problema de estimación paramétrica en transformadores monofásicos considerando medidas de tensión y corriente
title Sine-cosine optimization approach applied to the parametric estimation in single-phase transformers by considering voltage and current measures
spellingShingle Sine-cosine optimization approach applied to the parametric estimation in single-phase transformers by considering voltage and current measures
Metaheuristic optimization
Nonlinear programming model
Parametric estimation in single-phase transformers
Sine-cosine algorithm
Voltage and current measures
title_short Sine-cosine optimization approach applied to the parametric estimation in single-phase transformers by considering voltage and current measures
title_full Sine-cosine optimization approach applied to the parametric estimation in single-phase transformers by considering voltage and current measures
title_fullStr Sine-cosine optimization approach applied to the parametric estimation in single-phase transformers by considering voltage and current measures
title_full_unstemmed Sine-cosine optimization approach applied to the parametric estimation in single-phase transformers by considering voltage and current measures
title_sort Sine-cosine optimization approach applied to the parametric estimation in single-phase transformers by considering voltage and current measures
dc.creator.fl_str_mv Bocanegra, Sara Yulieth
Montoya, Oscar Danilo
Molina-Cabrera, Alexander
dc.contributor.author.none.fl_str_mv Bocanegra, Sara Yulieth
Montoya, Oscar Danilo
Molina-Cabrera, Alexander
dc.subject.keywords.spa.fl_str_mv Metaheuristic optimization
Nonlinear programming model
Parametric estimation in single-phase transformers
Sine-cosine algorithm
Voltage and current measures
topic Metaheuristic optimization
Nonlinear programming model
Parametric estimation in single-phase transformers
Sine-cosine algorithm
Voltage and current measures
description In this article, a combinatorial optimization approach for estimating the electrical parameters in single-phase distribution transformers by considering voltage and current measures is presented. A nonlinear programming model was formulated to represent the parametric estimation problem. This mathematical optimization model was developed by applying Kirchhoff’s laws to the equivalent electric circuit of the transformer. To solve the NLP model is employed the sine-cosine algorithm, which corresponds to a combinatorial optimization methodology from the family of metaheuristics that has the ability for finding good solutions with minimum computational requirements, easily implementable at any programming language. Numerical results show that the parametric estimation in the transformers using the proposed NLP model represents the electrical behavior of these devices adequately, considering different load scenarios. All the simulations were carried out using MATLAB software and compared with the GAMS optimization package.
publishDate 2021
dc.date.issued.none.fl_str_mv 2021-05-25
dc.date.accessioned.none.fl_str_mv 2023-07-19T21:16:32Z
dc.date.available.none.fl_str_mv 2023-07-19T21:16:32Z
dc.date.submitted.none.fl_str_mv 2023-07
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dc.identifier.citation.spa.fl_str_mv Bocanegra, S.Y., Montoya, O.D. and Molina-Cabrera, A., Sine-cosine optimization approach applied to the parametric estimation in single-phase transformers by considering voltage and current measures.. DYNA, 88(219), pp. 19-27, October - December, 2021.
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12585/12178
dc.identifier.doi.none.fl_str_mv 10.15446/dyna.v88n219.93670
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 Bocanegra, S.Y., Montoya, O.D. and Molina-Cabrera, A., Sine-cosine optimization approach applied to the parametric estimation in single-phase transformers by considering voltage and current measures.. DYNA, 88(219), pp. 19-27, October - December, 2021.
10.15446/dyna.v88n219.93670
Universidad Tecnológica de Bolívar
Repositorio Universidad Tecnológica de Bolívar
url https://hdl.handle.net/20.500.12585/12178
dc.language.iso.spa.fl_str_mv eng
language eng
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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
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eu_rights_str_mv openAccess
dc.format.extent.none.fl_str_mv 9 páginas
dc.format.medium.none.fl_str_mv Pdf
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 DYNA (Colombia) - Vol. 88 No. 219 (2021)
institution Universidad Tecnológica de Bolívar
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spelling Bocanegra, Sara Yulieth2c014485-c449-4cc3-a640-5f55b80693c1Montoya, Oscar Danilo9fa8a75a-58fa-436d-a6e2-d80f718a4ea8Molina-Cabrera, Alexander01b29f76-a1f3-4151-a070-ce883ba398492023-07-19T21:16:32Z2023-07-19T21:16:32Z2021-05-252023-07Bocanegra, S.Y., Montoya, O.D. and Molina-Cabrera, A., Sine-cosine optimization approach applied to the parametric estimation in single-phase transformers by considering voltage and current measures.. DYNA, 88(219), pp. 19-27, October - December, 2021.https://hdl.handle.net/20.500.12585/1217810.15446/dyna.v88n219.93670Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarIn this article, a combinatorial optimization approach for estimating the electrical parameters in single-phase distribution transformers by considering voltage and current measures is presented. A nonlinear programming model was formulated to represent the parametric estimation problem. This mathematical optimization model was developed by applying Kirchhoff’s laws to the equivalent electric circuit of the transformer. To solve the NLP model is employed the sine-cosine algorithm, which corresponds to a combinatorial optimization methodology from the family of metaheuristics that has the ability for finding good solutions with minimum computational requirements, easily implementable at any programming language. Numerical results show that the parametric estimation in the transformers using the proposed NLP model represents the electrical behavior of these devices adequately, considering different load scenarios. All the simulations were carried out using MATLAB software and compared with the GAMS optimization package.En este artículo un enfoque de optimización combinatorial para la estimación paramétrica en transformadores monofásicos considerando medidas de tensión y corriente es propuesto. El problema de estimación paramétrica es formulado mediante un modelo de programación no lineal. Este modelo matemático se desarrolla mediante la aplicación de las leyes de Kirchhoff al modelo equivalente del transformador monofásico. Para resolver este modelo se emplea el algoritmo de senos y cosenos, el cual corresponde a una técnica de optimización combinatorial de dominio continuo, la cual pertenece a la familia de las técnicas de optimización metaheurística que tiene la habilidad de encontrar soluciones de buena calidad con mínimo esfuerzo computacional, siendo fácilmente implementable en cualquier lenguaje de programación. Los resultados numéricos muestran que el modelo de estimación paramétrica no lineal que se propone representa adecuadamente el comportamiento del transformador ante diferentes escenarios de demanda. Todas las simulaciones se desarrollan en el ambiente de programación de MATLAB y son comparadas con la implementación del modelo no lineal en el software de optimización GAMS9 páginasPdfapplication/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_abf2DYNA (Colombia) - Vol. 88 No. 219 (2021)Sine-cosine optimization approach applied to the parametric estimation in single-phase transformers by considering voltage and current measuresAlgoritmo de optimización por senos y cosenos aplicado al problema de estimación paramétrica en transformadores monofásicos considerando medidas de tensión y corrienteinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/drafthttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/version/c_b1a7d7d4d402bccehttp://purl.org/coar/resource_type/c_2df8fbb1Metaheuristic optimizationNonlinear programming modelParametric estimation in single-phase transformersSine-cosine algorithmVoltage and current measuresCartagena de IndiasMolina-Martin, F., Montoya, O.D., Grisales-Noreña, L.F., Hernández, J.C. 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ISBN: 978-146739910-4 doi: 10.1109/INISTA.2016.7571853Giraldo, J.A., Montoya, O.D., Grisales-Noreña, L.F., Gil-González, W., Holguín, M. Optimal power flow solution in direct current grids using Sine-Cosine algorithm (Open Access) (2019) Journal of Physics: Conference Series, 1403 (1), art. no. 012009. 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