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
- OAI Identifier:
- 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
- Rights
- openAccess
- License
- https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
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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 |
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2025-07-25 00:00:00 |
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2025-07-25 00:00:00 |
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2025-07-25 |
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Artículo de revista |
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L. 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. Giral-Ramírez, “Dynamic compensation of active and reactive power in distribution systems through PV-STATCOM and metaheuristic optimization,” Results in Engineering, vol. 22, pág. 102 195, 2024, issn: 2590-1230. doi: https://doi.org/ 10.1016/j.rineng.2024.102195. dirección: https://www. sciencedirect.com/science/article/pii/S2590123024004493. L. F. Grisales-Noreña, D. Sanin-Villa y O. D. Montoya, “Optimal integration of PV generators and DSTATCOMs into the electrical distribution system to reduce the annual investment and operational cost: A multiverse optimization algorithm and matrix power flowapproach,” e-Prime - Advances in Electrical Engineering, Electronics and Energy, vol. 9, pág. 100 747, 2024, issn: 2772-6711. doi: https://doi.org/10.1016/j.prime.2024.100747. dirección: https://www.sciencedirect. com/science/article/pii/S2772671124003279. J. A. Guzmán-Henao, R. I. Bolaños, B. Cortés-Caicedo, L. F. Grisales-Noreña, O. D. Montoya y J. C. Hernández, “A multi-objective master–slave methodology for optimally integrating and operating photovoltaic generators in urban and rural electrical networks,” Results in Engineering, vol. 24, pág. 103 059, 2024, issn: 2590-1230. doi: https://doi.org/10.1016/j.rineng.2024. 103059. dirección: https://www.sciencedirect.com/ science/article/pii/S2590123024013148. [12] P. K. Saurav, S. Mansani y P. Kayal, “Multi-faceted sustainability improvement in low voltage power distribution network employing DG and capacitor bank,” Computers and Electrical Engineering, vol. 120, pág. 109 789, 2024, issn: 0045-7906. doi: https://doi. org/10.1016/j.compeleceng.2024.109789. dirección: https://www.sciencedirect.com/science/article/pii/ S004579062400716X. [13] A. Abdullah et al., “Effect of multi-unit and multitype DG installation using integrated optimization technique in distribution power system planning,” Alexandria Engineering Journal, vol. 107, págs. 895-914, 2024, issn: 1110-0168. doi: https://doi.org/10.1016/j. aej.2024.09.006. dirección: https://www.sciencedirect. com/science/article/pii/S1110016824010202. [14] M. A. Elseify, F. A. Hashim, A. G. Hussien y S. Kamel, “Single and multi-objectives based on an improved golden jackal optimization algorithm for simultaneous integration of multiple capacitors and multitype DGs in distribution systems,” Applied Energy, vol. 353, pág. 122 054, 2024, issn: 0306-2619. doi: https: //doi.org/10.1016/j.apenergy.2023.122054. dirección: https://www.sciencedirect.com/science/article/pii/ S0306261923014186. [15] A. Ahlawat y D. Das, “Optimal sizing and scheduling of battery energy storage system with solar and wind DG under seasonal load variations considering uncertainties,” Journal of Energy Storage, vol. 74, pág. 109 377, 2023, issn: 2352-152X. doi: https://doi.org/10.1016/j. est.2023.109377. dirección: https://www.sciencedirect. com/science/article/pii/S2352152X23027755. [16] H. Singh, Y. Sawle, S. Dixit, H. Malik y F. P. García Márquez, “Optimization of reactive power using dragonfly algorithm in DG integrated distribution system,” Electric Power Systems Research, vol. 220, pág. 109 351, 2023, issn: 0378-7796. doi: https://doi.org/10.1016/j.epsr.2023.109351. dirección: https://www. sciencedirect.com/science/article/pii/S0378779623002407. [17] B. Cortés-Caicedo, L. F. Grisales-Noreña, O. D. Montoya, M. A. Rodriguez-Cabal y J. A. Rosero, “Energy Management System for the Optimal Operation of PV Generators in Distribution Systems Using the Antlion Optimizer: A Colombian Urban and Rural Case Study,” Sustainability, vol. 14, n.o 23, 2022, issn: 2071-1050. doi: 10.3390/su142316083. dirección: https: //www.mdpi.com/2071-1050/14/23/16083. [18] G. H. Reddy, A. N. Koundinya, S. Gope, M. Raju y K. M. Singh, “Optimal Sizing and Allocation of DG and FACTS Device in the Distribution System using Fractional Lévy Flight Bat Algorithm,” IFACPapersOnLine, vol. 55, n.o 1, págs. 168-173, 2022, 7th International Conference on Advances in Control and Optimization of Dynamical Systems ACODS 2022, issn: 2405-8963. doi: https://doi.org/10.1016/j.ifacol. 2022.04.028. dirección: https://www.sciencedirect. com/science/article/pii/S2405896322000283. [19] H. Chaduvula y D. Das, “Analysis of microgrid configuration with optimal power injection from grid using point estimate method embedded fuzzyparticle swarm optimization,” Energy, vol. 282, pág. 128 909, 2023, issn: 0360-5442. doi: https://doi.org/10.1016/j. energy.2023.128909. [20] O. D. Montoya yW. Gil-González, “On the numerical analysis based on successive approximations for power flow problems in AC distribution systems,” Electric Power Systems Research, vol. 187, pág. 106 454, 2020, issn: 0378-7796. doi: https://doi.org/10.1016/j.epsr. 2020.106454. dirección: https://www.sciencedirect. com/science/article/pii/S0378779620302583. [21] J. A. Guzmán-Henao, R. I. Bolaños, O. D. Montoya, L. F. Grisales-Noreña y H. R. Chamorro, “On Integrating and Operating Distributed Energy Resources in Distribution Networks: A Review of Current Solution Methods, Challenges, and Opportunities,” IEEE Access, vol. 12, págs. 55 111-55 133, 2024. doi: 10.1109/ACCESS.2024.3387400. [22] W. Stevenson, “Análisis de sistemas de potencia,” Polar, vol. 30, 30j, 1996. [23] K. Smrithi y B. Jayanand, “Sustainable power conversion topology based STATCOM for reactive power compensation,” Renewable Energy Focus, vol. 43, págs. 277-290, 2022, issn: 1755-0084. doi: https://doi. org/10.1016/j.ref.2022.10.007. [24] M. Baran y F. Wu, “Network reconfiguration in distribution systems for loss reduction and load balancing,” IEEE Transactions on Power Delivery, vol. 4, n.o 2, págs. 1401-1407, 1989. doi: 10.1109/61.25627. [25] O. D. Montoya,W. Gil-González y L. Grisales-Noreña, “An exact MINLP model for optimal location and sizing of DGs in distribution networks: A general algebraic modeling system approach,” Ain Shams Engineering Journal, vol. 11, n.o 2, págs. 409-418, 2020, issn: 2090-4479. doi: https://doi.org/10.1016/j.asej. 2019.08.011. dirección: https://www.sciencedirect. com/science/article/pii/S2090447919301200. [26] L. F. Grisales-Noreña, O. D. Montoya y J. C. Hernández, “An Efficient EMS for BESS in Monopolar DC Networks with High Penetration of Renewable Generation: A Convex Approximation,” Batteries, vol. 9, n.o 2, 2023, issn: 2313-0105. doi: 10.3390/ batteries9020084. dirección: https://www.mdpi.com/ 2313-0105/9/2/84. [27] L. F. Grisales-Noreña, J. A. Ocampo-Toro, A. A. Rosales- Muñoz, B. Cortes-Caicedo y O. D. Montoya, “An Energy Management System for PV Sources in Standalone and Connected DC Networks Considering Economic, Technical, and Environmental Indices,” Sustainability, vol. 14, n.o 24, 2022, issn: 2071-1050. doi: 10.3390/su142416429. dirección: https://www.mdpi. com/2071-1050/14/24/16429. [28] Q. Hassan, M. Jaszczur, E. Przenzak y J. Abdulateef, “The PV cell temperature effect on the energy production and module efficiency,” Contemporary Problems of Power Engineering and Environmental Protection, vol. 33, pág. 1, 2016. [29] R. Eberhart y J. Kennedy, “A new optimizer using particle swarm theory,” en MHS’95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science, 1995, págs. 39-43. doi: 10.1109/MHS. 1995.494215. [30] A. Askarzadeh, “A novel metaheuristic method for solving constrained engineering optimization problems: Crow search algorithm,” Computers & Structures, vol. 169, págs. 1-12, 2016, issn: 0045-7949. doi: https:/ /doi.org/10.1016/ j.compstruc.2016.03.001. dirección: https://www.sciencedirect.com/science/ article/pii/S0045794916300475. [31] L. F. Grisales-Nore´ na, D. Gonzalez Montoya y C. A. Ramos-Paja, “Optimal Sizing and Location of Distributed Generators Based on PBIL and PSO Techniques,” Energies, vol. 11, n.o 4, 2018, issn: 1996-1073. doi: 10.3390/en11041018. dirección: https: / /www. mdpi.com/1996-1073/11/4/1018. |
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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. Giral-Ramírez, “Dynamic compensation of active and reactive power in distribution systems through PV-STATCOM and metaheuristic optimization,” Results in Engineering, vol. 22, pág. 102 195, 2024, issn: 2590-1230. doi: https://doi.org/ 10.1016/j.rineng.2024.102195. dirección: https://www. sciencedirect.com/science/article/pii/S2590123024004493.L. F. Grisales-Noreña, D. Sanin-Villa y O. D. Montoya, “Optimal integration of PV generators and DSTATCOMs into the electrical distribution system to reduce the annual investment and operational cost: A multiverse optimization algorithm and matrix power flowapproach,” e-Prime - Advances in Electrical Engineering, Electronics and Energy, vol. 9, pág. 100 747, 2024, issn: 2772-6711. doi: https://doi.org/10.1016/j.prime.2024.100747. dirección: https://www.sciencedirect. com/science/article/pii/S2772671124003279.J. A. Guzmán-Henao, R. I. Bolaños, B. Cortés-Caicedo, L. F. Grisales-Noreña, O. D. Montoya y J. C. Hernández, “A multi-objective master–slave methodology for optimally integrating and operating photovoltaic generators in urban and rural electrical networks,” Results in Engineering, vol. 24, pág. 103 059, 2024, issn: 2590-1230. doi: https://doi.org/10.1016/j.rineng.2024. 103059. dirección: https://www.sciencedirect.com/ science/article/pii/S2590123024013148. [12] P. K. Saurav, S. Mansani y P. Kayal, “Multi-faceted sustainability improvement in low voltage power distribution network employing DG and capacitor bank,” Computers and Electrical Engineering, vol. 120, pág. 109 789, 2024, issn: 0045-7906. doi: https://doi. org/10.1016/j.compeleceng.2024.109789. dirección: https://www.sciencedirect.com/science/article/pii/ S004579062400716X. [13] A. Abdullah et al., “Effect of multi-unit and multitype DG installation using integrated optimization technique in distribution power system planning,” Alexandria Engineering Journal, vol. 107, págs. 895-914, 2024, issn: 1110-0168. doi: https://doi.org/10.1016/j. aej.2024.09.006. dirección: https://www.sciencedirect. com/science/article/pii/S1110016824010202. [14] M. A. Elseify, F. A. Hashim, A. G. Hussien y S. Kamel, “Single and multi-objectives based on an improved golden jackal optimization algorithm for simultaneous integration of multiple capacitors and multitype DGs in distribution systems,” Applied Energy, vol. 353, pág. 122 054, 2024, issn: 0306-2619. doi: https: //doi.org/10.1016/j.apenergy.2023.122054. dirección: https://www.sciencedirect.com/science/article/pii/ S0306261923014186. [15] A. Ahlawat y D. Das, “Optimal sizing and scheduling of battery energy storage system with solar and wind DG under seasonal load variations considering uncertainties,” Journal of Energy Storage, vol. 74, pág. 109 377, 2023, issn: 2352-152X. doi: https://doi.org/10.1016/j. est.2023.109377. dirección: https://www.sciencedirect. com/science/article/pii/S2352152X23027755. [16] H. Singh, Y. Sawle, S. Dixit, H. Malik y F. P. García Márquez, “Optimization of reactive power using dragonfly algorithm in DG integrated distribution system,” Electric Power Systems Research, vol. 220, pág. 109 351, 2023, issn: 0378-7796. doi: https://doi.org/10.1016/j.epsr.2023.109351. dirección: https://www. sciencedirect.com/science/article/pii/S0378779623002407. [17] B. Cortés-Caicedo, L. F. Grisales-Noreña, O. D. Montoya, M. A. Rodriguez-Cabal y J. A. Rosero, “Energy Management System for the Optimal Operation of PV Generators in Distribution Systems Using the Antlion Optimizer: A Colombian Urban and Rural Case Study,” Sustainability, vol. 14, n.o 23, 2022, issn: 2071-1050. doi: 10.3390/su142316083. dirección: https: //www.mdpi.com/2071-1050/14/23/16083. [18] G. H. Reddy, A. N. Koundinya, S. Gope, M. Raju y K. M. Singh, “Optimal Sizing and Allocation of DG and FACTS Device in the Distribution System using Fractional Lévy Flight Bat Algorithm,” IFACPapersOnLine, vol. 55, n.o 1, págs. 168-173, 2022, 7th International Conference on Advances in Control and Optimization of Dynamical Systems ACODS 2022, issn: 2405-8963. doi: https://doi.org/10.1016/j.ifacol. 2022.04.028. dirección: https://www.sciencedirect. com/science/article/pii/S2405896322000283. [19] H. Chaduvula y D. Das, “Analysis of microgrid configuration with optimal power injection from grid using point estimate method embedded fuzzyparticle swarm optimization,” Energy, vol. 282, pág. 128 909, 2023, issn: 0360-5442. doi: https://doi.org/10.1016/j. energy.2023.128909. [20] O. D. Montoya yW. Gil-González, “On the numerical analysis based on successive approximations for power flow problems in AC distribution systems,” Electric Power Systems Research, vol. 187, pág. 106 454, 2020, issn: 0378-7796. doi: https://doi.org/10.1016/j.epsr. 2020.106454. dirección: https://www.sciencedirect. com/science/article/pii/S0378779620302583. [21] J. A. Guzmán-Henao, R. I. Bolaños, O. D. Montoya, L. F. Grisales-Noreña y H. R. Chamorro, “On Integrating and Operating Distributed Energy Resources in Distribution Networks: A Review of Current Solution Methods, Challenges, and Opportunities,” IEEE Access, vol. 12, págs. 55 111-55 133, 2024. doi: 10.1109/ACCESS.2024.3387400. [22] W. Stevenson, “Análisis de sistemas de potencia,” Polar, vol. 30, 30j, 1996. [23] K. Smrithi y B. Jayanand, “Sustainable power conversion topology based STATCOM for reactive power compensation,” Renewable Energy Focus, vol. 43, págs. 277-290, 2022, issn: 1755-0084. doi: https://doi. org/10.1016/j.ref.2022.10.007. [24] M. Baran y F. Wu, “Network reconfiguration in distribution systems for loss reduction and load balancing,” IEEE Transactions on Power Delivery, vol. 4, n.o 2, págs. 1401-1407, 1989. doi: 10.1109/61.25627. [25] O. D. Montoya,W. Gil-González y L. Grisales-Noreña, “An exact MINLP model for optimal location and sizing of DGs in distribution networks: A general algebraic modeling system approach,” Ain Shams Engineering Journal, vol. 11, n.o 2, págs. 409-418, 2020, issn: 2090-4479. doi: https://doi.org/10.1016/j.asej. 2019.08.011. dirección: https://www.sciencedirect. com/science/article/pii/S2090447919301200. [26] L. F. Grisales-Noreña, O. D. Montoya y J. C. Hernández, “An Efficient EMS for BESS in Monopolar DC Networks with High Penetration of Renewable Generation: A Convex Approximation,” Batteries, vol. 9, n.o 2, 2023, issn: 2313-0105. doi: 10.3390/ batteries9020084. dirección: https://www.mdpi.com/ 2313-0105/9/2/84. [27] L. F. Grisales-Noreña, J. A. Ocampo-Toro, A. A. Rosales- Muñoz, B. Cortes-Caicedo y O. D. Montoya, “An Energy Management System for PV Sources in Standalone and Connected DC Networks Considering Economic, Technical, and Environmental Indices,” Sustainability, vol. 14, n.o 24, 2022, issn: 2071-1050. doi: 10.3390/su142416429. dirección: https://www.mdpi. com/2071-1050/14/24/16429. [28] Q. Hassan, M. Jaszczur, E. Przenzak y J. Abdulateef, “The PV cell temperature effect on the energy production and module efficiency,” Contemporary Problems of Power Engineering and Environmental Protection, vol. 33, pág. 1, 2016. [29] R. Eberhart y J. Kennedy, “A new optimizer using particle swarm theory,” en MHS’95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science, 1995, págs. 39-43. doi: 10.1109/MHS. 1995.494215. [30] A. Askarzadeh, “A novel metaheuristic method for solving constrained engineering optimization problems: Crow search algorithm,” Computers & Structures, vol. 169, págs. 1-12, 2016, issn: 0045-7949. doi: https:/ /doi.org/10.1016/ j.compstruc.2016.03.001. dirección: https://www.sciencedirect.com/science/ article/pii/S0045794916300475. [31] L. F. Grisales-Nore´ na, D. Gonzalez Montoya y C. A. Ramos-Paja, “Optimal Sizing and Location of Distributed Generators Based on PBIL and PSO Techniques,” Energies, vol. 11, n.o 4, 2018, issn: 1996-1073. doi: 10.3390/en11041018. dirección: https: / /www. mdpi.com/1996-1073/11/4/1018.10728316Ciencia en Desarrollohttps://revistas.uptc.edu.co/index.php/ciencia_en_desarrollo/article/download/18665/16590Núm. 2 , Año 2025 : Vol. 16 Núm. 2 (2025): Vol. 16 Núm. 2 (2025): Vol 16, Núm.2 (2025): Julio-DiciembrePublicationOREORE.xmltext/xml2945https://repositorio.uptc.edu.co/bitstreams/36014067-9c36-405d-9373-1f3eb1151de8/downloadb90f73a63187d98ac016d7b0cb6f635cMD51falseAnonymousREAD001/18801oai:repositorio.uptc.edu.co:001/188012026-10-30 07:02:33.931https://creativecommons.org/licenses/by-nc-nd/4.0/deed.esmetadata.onlyhttps://repositorio.uptc.edu.coRepositorio Institucional UPTCbdigital@metabiblioteca.com |
