Operación de redes eléctricas de distribución bajo un entorno de integración de recursos energéticos distribuidos: Un enfoque técnico

Autores:
Parra Guerra, Brandon
Soto Ramírez, Juan Pablo
Guzmán Henao, Jhony Andrés
Bolaños, Rubén Iván
Grisales Noreña, Luis Fernando
Tipo de recurso:
Article of journal
Fecha de publicación:
2025
Institución:
Universidad Pedagógica y Tecnológica de Colombia
Repositorio:
RiUPTC: Repositorio Institucional UPTC
Idioma:
spa
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oai:repositorio.uptc.edu.co:001/18801
Acceso en línea:
https://doi.org/10.19053/uptc.01217488.v16.n2.2025.18665
Palabra clave:
Técnicas metaheurísticas
algoritmo optimizador
inyección de potencia
pérdidas energéticas
generación distribuida
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openAccess
License
https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
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dc.title.es-ES.fl_str_mv Operación de redes eléctricas de distribución bajo un entorno de integración de recursos energéticos distribuidos: Un enfoque técnico
title Operación de redes eléctricas de distribución bajo un entorno de integración de recursos energéticos distribuidos: Un enfoque técnico
spellingShingle Operación de redes eléctricas de distribución bajo un entorno de integración de recursos energéticos distribuidos: Un enfoque técnico
Técnicas metaheurísticas
algoritmo optimizador
inyección de potencia
pérdidas energéticas
generación distribuida
title_short Operación de redes eléctricas de distribución bajo un entorno de integración de recursos energéticos distribuidos: Un enfoque técnico
title_full Operación de redes eléctricas de distribución bajo un entorno de integración de recursos energéticos distribuidos: Un enfoque técnico
title_fullStr Operación de redes eléctricas de distribución bajo un entorno de integración de recursos energéticos distribuidos: Un enfoque técnico
title_full_unstemmed Operación de redes eléctricas de distribución bajo un entorno de integración de recursos energéticos distribuidos: Un enfoque técnico
title_sort Operación de redes eléctricas de distribución bajo un entorno de integración de recursos energéticos distribuidos: Un enfoque técnico
dc.creator.fl_str_mv Parra Guerra, Brandon
Soto Ramírez, Juan Pablo
Guzmán Henao, Jhony Andrés
Bolaños, Rubén Iván
Grisales Noreña, Luis Fernando
dc.contributor.author.spa.fl_str_mv Parra Guerra, Brandon
Soto Ramírez, Juan Pablo
Guzmán Henao, Jhony Andrés
Bolaños, Rubén Iván
Grisales Noreña, Luis Fernando
dc.subject.none.fl_str_mv Técnicas metaheurísticas
algoritmo optimizador
inyección de potencia
pérdidas energéticas
generación distribuida
topic Técnicas metaheurísticas
algoritmo optimizador
inyección de potencia
pérdidas energéticas
generación distribuida
publishDate 2025
dc.date.accessioned.none.fl_str_mv 2025-07-25 00:00:00
dc.date.available.none.fl_str_mv 2025-07-25 00:00:00
dc.date.issued.none.fl_str_mv 2025-07-25
dc.type.spa.fl_str_mv Artículo de revista
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dc.type.local.eng.fl_str_mv Journal article
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dc.type.content.spa.fl_str_mv Text
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dc.identifier.doi.none.fl_str_mv 10.19053/uptc.01217488.v16.n2.2025.18665
dc.identifier.eissn.none.fl_str_mv 2462-7658
dc.identifier.url.none.fl_str_mv https://doi.org/10.19053/uptc.01217488.v16.n2.2025.18665
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dc.language.iso.spa.fl_str_mv spa
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spelling Parra Guerra, BrandonSoto Ramírez, Juan PabloGuzmán Henao, Jhony AndrésBolaños, Rubén IvánGrisales Noreña, Luis Fernando2025-07-25 00:00:002025-07-25 00:00:002025-07-250121-748810.19053/uptc.01217488.v16.n2.2025.186652462-7658https://doi.org/10.19053/uptc.01217488.v16.n2.2025.18665application/pdfspaUniversidad Pedagógica y Tecnológica de Colombiahttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.esinfo:eu-repo/semantics/openAccessEsta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-SinDerivadas 4.0.http://purl.org/coar/access_right/c_abf2https://revistas.uptc.edu.co/index.php/ciencia_en_desarrollo/article/view/18665Técnicas metaheurísticasalgoritmo optimizadorinyección de potenciapérdidas energéticasgeneración distribuidaOperación de redes eléctricas de distribución bajo un entorno de integración de recursos energéticos distribuidos: Un enfoque técnicoArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/articleJournal articleinfo:eu-repo/semantics/publishedVersionTexthttp://purl.org/coar/version/c_970fb48d4fbd8a85L. F. Grisales-Noreña, O. D. Montoya, J. C. Hernández, C. A. Ramos-Paja y A.-J. Perea-Moreno, “A Discrete- Continuous PSO for the Optimal Integration of DSTATCOMs into Electrical Distribution Systems by Considering Annual Power Loss and Investment Costs,” Mathematics, vol. 10, n.o 14, 2022, issn: 2227-7390. doi: 10.3390/math10142453.J. A. Guzmán-Henao, B. Cortés-Caicedo, B. J. Restrepo- Cuestas, R. I. Bolaños y L. F. Grisales-Noreña, “Optimal integration of photovoltaic generators into urban and rural power distribution systems,” Solar Energy, vol. 270, pág. 112 400, 2024, issn: 0038-092X. doi: https://doi.org/10.1016/j.solener.2024.112400.T. Ackermann, G. Andersson y L. Söder, “Distributed generation: a definition1In addition to this paper, a working paper entitled ‘Distributed power generation in a deregulated market environment’ is available. The aim of this working paper is to start a discussion regarding different aspects of distributed generation. This working paper can be obtained from one of the authors, Thomas Ackermann.1,” Electric Power Systems Research, vol. 57, n.o 3, págs. 195-204, 2001, issn: 0378-7796. doi: https://doi.org/10.1016/S0378- 7796(01)00101-8. dirección: https://www.sciencedirect.com/science/article/pii/S0378779601001018.L. Meng, H. Zhang, Z. Liu, X. Shu y P. Li, “A direct FE2 method for concurrent multilevel modeling of a coupled thermoelectric problem – Joule heating effect – in multiscale materials and structures,” Thin-Walled Structures, vol. 203, pág. 112 166, 2024, issn: 0263-8231. doi: https : / / doi . org / 10 . 1016 / j . tws . 2024 . 112166.dirección: https://www.sciencedirect.com/science/ article/pii/S0263823124006086.Y. Ghazagh Jahed, S. Y. Mousazadeh Mousavi y S. Golestan, “Optimal sizing and siting of distributed generation systems incorporating reactive power tariffs via water flow optimization,” Electric Power Systems Research, vol. 231, pág. 110 278, 2024, issn: 0378-7796. doi: https://doi.org/10.1016/j.epsr.2024.110278. dirección: https://www.sciencedirect.com/science/article/pii/S0378779624001664.S. Essallah y A. Khedher, “Optimization of distribution systemoperation by network reconfiguration and DG integration using MPSO algorithm,” Renewable Energy Focus, vol. 34, págs. 37-46, 2020, issn: 1755- 0084. doi: https://doi.org/10.1016/j.ref.2020.04.002. dirección: https://www.sciencedirect.com/science/article/pii/S1755008420300168.M. Ahmadipour, Z. Ali, V. K. Ramachandaramurthy y H. M. Ridha, “A memory-guided Jaya algorithm to solve multi-objective optimal power flow integrating renewable energy sources,” Applied Soft Computing, vol. 164, pág. 111 924, 2024, issn: 1568-4946. doi: https:/ / doi . org / 10 . 1016 / j . asoc . 2024 . 111924. dirección:N. R. Vélez, A. Cano, F. Jurado, J. A. Pérez-Rodríguez e Y. E. Albuerne, “Penetrating PV sources in the electrical distribution system of Manabí province, Ecuador, using B/FS and ANN,” Electric Power Systems Research, vol. 225, pág. 109 886, 2023, issn: 0378-7796. doi: https : / / doi . org/ 10 . 1016 / j . epsr. 2023 . 109886.J. D. Combita-Murcia, C. A. Romero-Salcedo, O. D. Montoya y D. A. 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