Combined economic-environmental dispatch using the weighting-based optimization model solved via the vortex search algorithm

Autores:: Montoya Giraldo, Oscar Danilo
Gil González, Walter
Rivas Trujillo, Edwin

Tipo de recurso:: Article of journal

Fecha de publicación:: 2025

Institución:: Universidad Pedagógica y Tecnológica de Colombia

Repositorio:: RiUPTC: Repositorio Institucional UPTC

Idioma:: eng

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dc.title.es-ES.fl_str_mv	Combined economic-environmental dispatch using the weighting-based optimization model solved via the vortex search algorithm
title	Combined economic-environmental dispatch using the weighting-based optimization model solved via the vortex search algorithm
spellingShingle	Combined economic-environmental dispatch using the weighting-based optimization model solved via the vortex search algorithm Economic-environmental dispatch multi-objective modeling vortex search algorithm weighting-based equivalent formulation interior point optimization Despacho económico-ambiental modelado multiobjetivo algoritmo de búsqueda de vórtices formulación equivalente basada en ponderaciones Optimización de puntos interiores
title_short	Combined economic-environmental dispatch using the weighting-based optimization model solved via the vortex search algorithm
title_full	Combined economic-environmental dispatch using the weighting-based optimization model solved via the vortex search algorithm
title_fullStr	Combined economic-environmental dispatch using the weighting-based optimization model solved via the vortex search algorithm
title_full_unstemmed	Combined economic-environmental dispatch using the weighting-based optimization model solved via the vortex search algorithm
title_sort	Combined economic-environmental dispatch using the weighting-based optimization model solved via the vortex search algorithm
dc.creator.fl_str_mv	Montoya Giraldo, Oscar Danilo Gil González, Walter Rivas Trujillo, Edwin
dc.contributor.author.spa.fl_str_mv	Montoya Giraldo, Oscar Danilo Gil González, Walter Rivas Trujillo, Edwin
dc.subject.none.fl_str_mv	Economic-environmental dispatch multi-objective modeling vortex search algorithm weighting-based equivalent formulation interior point optimization Despacho económico-ambiental modelado multiobjetivo algoritmo de búsqueda de vórtices formulación equivalente basada en ponderaciones Optimización de puntos interiores
topic	Economic-environmental dispatch multi-objective modeling vortex search algorithm weighting-based equivalent formulation interior point optimization Despacho económico-ambiental modelado multiobjetivo algoritmo de búsqueda de vórtices formulación equivalente basada en ponderaciones Optimización de puntos interiores
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.content.eng.fl_str_mv	Text
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dc.identifier.doi.none.fl_str_mv	10.19053/uptc.01217488.v16.n2.2025.17602
dc.identifier.eissn.none.fl_str_mv	2462-7658
dc.identifier.url.none.fl_str_mv	https://doi.org/10.19053/uptc.01217488.v16.n2.2025.17602
identifier_str_mv	0121-7488 10.19053/uptc.01217488.v16.n2.2025.17602 2462-7658
url	https://doi.org/10.19053/uptc.01217488.v16.n2.2025.17602
dc.language.iso.eng.fl_str_mv	eng
language	eng
dc.relation.references.eng.fl_str_mv	W. Luo, X.Yu, andY.Wei, “Solving combined economic and emission dispatch problems using reinforcement learning-based adaptive differential evolution algorithm,” Engineering Applications of Artificial Intelligence, vol. 126, p. 107 002, Nov. 2023, issn: 0952-1976. doi: 10.1016/j.engappai.2023.107002. J. P. Zhan, Q. H. Wu, C. X. Guo, and X. X. Zhou, “Fast λ-iteration method for economic dispatch with prohibited operating zones,” IEEE Transactions on Power Systems, vol. 29, no. 2, pp. 990–991, Mar. 2014, issn: 1558-0679. doi: 10.1109/tpwrs.2013.2287995. S.-D. Chen and J.-F. Chen, “A direct newton–raphson economic emission dispatch,” International Journal of Electrical Power &; Energy Systems, vol. 25, no. 5, pp. 411– 417, Jun. 2003, issn: 0142-0615. doi: 10.1016/s0142-0615(02)00075-3. S. Shalini and K. Lakshmi, “Solution to economic emission dispatch problem using lagrangian relaxation method,” in 2014 International Conference on Green Computing Communication and Electrical Engineering (ICGCCEE), IEEE, Mar. 2014. doi: 10.1109/icgccee.2014.6922314. H. M. Bishe, A. R. Kian, and M. S. Esfahani, “A primaldual interior point method for solving environmental/ economic power dispatch problem,” International Review of Electrical Engineering, vol. 6, no. 3, 2011. B. Gjorgiev and M. Cˇ epin, “A multi-objective optimization based solution for the combined economicenvironmental power dispatch problem,” Engineering Applications of Artificial Intelligence, vol. 26, no. 1, pp. 417–429, Jan. 2013, issn: 0952-1976. doi: 10.1016/j.engappai.2012.03.002. X. Yu, X. Yu, Y. Lu, and J. Sheng, “Economic and emission dispatch using ensemble multi-objective differential evolution algorithm,” Sustainability, vol. 10, no. 2, p. 418, Feb. 2018, issn: 2071-1050. doi: 10.3390/su10020418. M. Asif et al., “Combined emission economic dispatch using quantum-inspired particle swarm optimization and its variants,” Energy Exploration &; Exploitation, Mar. 2024, issn: 2048-4054. doi: 10.1177/01445987241235419. G. Xiong, M. Shuai, and X. Hu, “Combined heat and power economic emission dispatch using improved bare-bone multi-objective particle swarm optimization,” Energy, vol. 244, p. 123 108, Apr. 2022, issn:0360-5442. doi: 10.1016/j.energy.2022.123108. H. Nourianfar and H. Abdi, “Solving power systems optimization problems in the presence of renewable energy sources using modified exchange market algorithm,” Sustainable Energy, Grids and Networks, vol. 26,p. 100 449, Jun. 2021, issn: 2352-4677. doi: 10.1016/j.segan.2021.100449. N. Karthik, A. K. Parvathy, and R. Arul, “Multi-objective economic emission dispatch using interior search algorithm,” International Transactions on Electrical Energy Systems, vol. 29, no. 1, e2683, Aug. 2018, issn: 2050-7038. doi: 10.1002/etep.2683. V. Sakthivel, M. Suman, and P. Sathya, “Combined economic and emission power dispatch problems through multi-objective squirrel search algorithm,” Applied Soft Computing, vol. 100, p. 106 950, Mar. 2021, issn: 1568- 4946. doi: 10.1016/j.asoc.2020.106950. M. Saka, S. S. Tezcan, I. Eke, and M. C. Taplamacioglu, “Economic load dispatch using vortex search algorithm,” in 2017 4th International Conference on Electrical and Electronic Engineering (ICEEE), IEEE, Apr. 2017. doi: 10.1109/iceee2.2017.7935796. W. Contreras-Sepúlveda, O. D. Montoya, andW. Gil-González, “An economic-environmental energy management system design for mt-hvdc networks via a semi-definite programming approximation with robust analysis,” Ain Shams Engineering Journal, vol. 15, no. 9, p. 102 968, Sep. 2024, issn: 2090-4479. doi: 10.1016/j.asej.2024.102968. M. Useche-Arteaga, W. Gil-González, and O. D. Montoya, “Robust economic–environmental dispatch problem for bess and pv generators in mt-hvdc systems: A mi-mpc approach,” Journal of Energy Storage, vol. 96,p. 112 551, Aug. 2024, issn: 2352-152X. doi: 10.1016/j.est.2024.112551. O. D.Montoya andW. Gil-González, “Accurate measurement-based convex model to estimate transmission loss coefficients in power systems,” Electric Power Systems Research, vol. 237, p. 111 036, Dec. 2024, issn:0378-7796. doi: 10.1016/j.epsr.2024.111036. A. Abdelaziz, E. Ali, and S. Abd Elazim, “Flower pollination algorithm to solve combined economic and emission dispatch problems,” Engineering Science and Technology, an International Journal, vol. 19, no. 2, pp. 980–990, Jun. 2016, issn: 2215-0986. doi: 10.1016/j.jestch.2015.11.005. B. Do˘gan and T. Ölmez, “A new metaheuristic for numerical function optimization: Vortex search algorithm,” Information Sciences, vol. 293, pp. 125–145, Feb.2015, issn: 0020-0255. doi: 10.1016/j.ins.2014.08.053. M. Toz, “Chaos-based vortex search algorithm for solving inverse kinematics problem of serial robot manipulators with offsetwrist,” Applied Soft Computing, vol. 89, p. 106 074, Apr. 2020, issn: 1568-4946. doi:10.1016/j.asoc.2020.106074. B. Cortés-Caicedo, L. S.Avellaneda-Gómez, O. D. Montoya, L. Alvarado-Barrios, and H. R. Chamorro, “Application of the vortex search algorithm to the phasebalancing problem in distribution systems,” Energies, vol. 14, no. 5, p. 1282, Feb. 2021, issn: 1996-1073. doi: 10.3390/en14051282. O. D. Montoya, W. Gil-Gonzalez, and L. F. Grisales- Norena, “Vortex search algorithm for optimal power flow analysis in dc resistive networks with cpls,” IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 67, no. 8, pp. 1439–1443, Aug. 2020, issn: 1558-3791. doi: 10.1109/tcsii.2019.2938530. R. Zhang, J. Zhou, L. Mo, S. Ouyang, and X. Liao, “Economic environmental dispatch using an enhanced multi-objective cultural algorithm,” Electric Power Systems Research, vol. 99, pp. 18–29, Jun. 2013, issn: 0378-7796. doi: 10.1016/j.epsr.2013.01.010. J. Bezanson, A. Edelman, S. Karpinski, and V. B. Shah,“Julia: A fresh approach to numerical computing,” SIAM Review, vol. 59, no. 1, pp. 65–98, 2017. doi:10.1137/141000671. [Online]. Available: https://epubs.siam.org/doi/10.1137/141000671. M. Lubin, O. Dowson, J. Dias Garcia, J. Huchette, B.Legat, and J. P. Vielma, “JuMP 1.0: Recent improvements to a modeling language for mathematical optimization,”Mathematical Programming Computation,2023. doi: 10.1007/s12532-023-00239-3. M. Basu, “Economic environmental dispatch using multi-objective differential evolution,” Applied Soft Computing, vol. 11, no. 2, pp. 2845–2853, Mar. 2011, issn: 1568-4946. doi: 10.1016/j.asoc.2010.11.014. A. L. Devi and O. V. Krishna, “Combined economic and emission dispatch using evolutionary algorithms – a case study,” ARPN Journal of Engineering and Applied Sciences, vol. 3, no. 6, pp. 28–35, Dec. 2008, issn: 1819- 6608
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dc.relation.ispartofjournal.spa.fl_str_mv	Ciencia en Desarrollo
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dc.relation.citationedition.spa.fl_str_mv	Núm. 2 , Año 2025 : Vol. 16 Núm. 2 (2025): Vol. 16 Núm. 2 (2025): Vol 16, Núm.2 (2025): Julio-Diciembre
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spelling	Montoya Giraldo, Oscar DaniloGil González, WalterRivas Trujillo, Edwin2025-07-25 00:00:002025-07-25 00:00:002025-07-250121-748810.19053/uptc.01217488.v16.n2.2025.176022462-7658https://doi.org/10.19053/uptc.01217488.v16.n2.2025.17602application/pdfengUniversidad 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/17602Economic-environmental dispatchmulti-objective modelingvortex search algorithmweighting-based equivalent formulationinterior point optimizationDespacho económico-ambientalmodelado multiobjetivoalgoritmo de búsqueda de vórticesformulación equivalente basada en ponderacionesOptimización de puntos interioresCombined economic-environmental dispatch using the weighting-based optimization model solved via the vortex search algorithmArtículo 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_970fb48d4fbd8a85W. Luo, X.Yu, andY.Wei, “Solving combined economic and emission dispatch problems using reinforcement learning-based adaptive differential evolution algorithm,” Engineering Applications of Artificial Intelligence, vol. 126, p. 107 002, Nov. 2023, issn: 0952-1976. doi: 10.1016/j.engappai.2023.107002.J. P. Zhan, Q. H. Wu, C. X. Guo, and X. X. Zhou, “Fast λ-iteration method for economic dispatch with prohibited operating zones,” IEEE Transactions on Power Systems, vol. 29, no. 2, pp. 990–991, Mar. 2014, issn: 1558-0679. doi: 10.1109/tpwrs.2013.2287995.S.-D. Chen and J.-F. Chen, “A direct newton–raphson economic emission dispatch,” International Journal of Electrical Power &; Energy Systems, vol. 25, no. 5, pp. 411– 417, Jun. 2003, issn: 0142-0615. doi: 10.1016/s0142-0615(02)00075-3.S. Shalini and K. Lakshmi, “Solution to economic emission dispatch problem using lagrangian relaxation method,” in 2014 International Conference on Green Computing Communication and Electrical Engineering (ICGCCEE), IEEE, Mar. 2014. doi: 10.1109/icgccee.2014.6922314.H. M. Bishe, A. R. Kian, and M. S. Esfahani, “A primaldual interior point method for solving environmental/ economic power dispatch problem,” International Review of Electrical Engineering, vol. 6, no. 3, 2011.B. Gjorgiev and M. Cˇ epin, “A multi-objective optimization based solution for the combined economicenvironmental power dispatch problem,” Engineering Applications of Artificial Intelligence, vol. 26, no. 1, pp. 417–429, Jan. 2013, issn: 0952-1976. doi: 10.1016/j.engappai.2012.03.002.X. Yu, X. Yu, Y. Lu, and J. Sheng, “Economic and emission dispatch using ensemble multi-objective differential evolution algorithm,” Sustainability, vol. 10, no. 2, p. 418, Feb. 2018, issn: 2071-1050. doi: 10.3390/su10020418.M. Asif et al., “Combined emission economic dispatch using quantum-inspired particle swarm optimization and its variants,” Energy Exploration &; Exploitation, Mar. 2024, issn: 2048-4054. doi: 10.1177/01445987241235419.G. Xiong, M. Shuai, and X. Hu, “Combined heat and power economic emission dispatch using improved bare-bone multi-objective particle swarm optimization,” Energy, vol. 244, p. 123 108, Apr. 2022, issn:0360-5442. doi: 10.1016/j.energy.2022.123108.H. Nourianfar and H. Abdi, “Solving power systems optimization problems in the presence of renewable energy sources using modified exchange market algorithm,” Sustainable Energy, Grids and Networks, vol. 26,p. 100 449, Jun. 2021, issn: 2352-4677. doi: 10.1016/j.segan.2021.100449.N. Karthik, A. K. Parvathy, and R. Arul, “Multi-objective economic emission dispatch using interior search algorithm,” International Transactions on Electrical Energy Systems, vol. 29, no. 1, e2683, Aug. 2018, issn: 2050-7038. doi: 10.1002/etep.2683.V. Sakthivel, M. Suman, and P. Sathya, “Combined economic and emission power dispatch problems through multi-objective squirrel search algorithm,” Applied Soft Computing, vol. 100, p. 106 950, Mar. 2021, issn: 1568- 4946. doi: 10.1016/j.asoc.2020.106950.M. Saka, S. S. Tezcan, I. Eke, and M. C. Taplamacioglu, “Economic load dispatch using vortex search algorithm,” in 2017 4th International Conference on Electrical and Electronic Engineering (ICEEE), IEEE, Apr. 2017. doi: 10.1109/iceee2.2017.7935796.W. Contreras-Sepúlveda, O. D. Montoya, andW. Gil-González, “An economic-environmental energy management system design for mt-hvdc networks via a semi-definite programming approximation with robust analysis,” Ain Shams Engineering Journal, vol. 15, no. 9, p. 102 968, Sep. 2024, issn: 2090-4479. doi: 10.1016/j.asej.2024.102968.M. Useche-Arteaga, W. Gil-González, and O. D. Montoya, “Robust economic–environmental dispatch problem for bess and pv generators in mt-hvdc systems: A mi-mpc approach,” Journal of Energy Storage, vol. 96,p. 112 551, Aug. 2024, issn: 2352-152X. doi: 10.1016/j.est.2024.112551.O. D.Montoya andW. Gil-González, “Accurate measurement-based convex model to estimate transmission loss coefficients in power systems,” Electric Power Systems Research, vol. 237, p. 111 036, Dec. 2024, issn:0378-7796. doi: 10.1016/j.epsr.2024.111036.A. Abdelaziz, E. Ali, and S. Abd Elazim, “Flower pollination algorithm to solve combined economic and emission dispatch problems,” Engineering Science and Technology, an International Journal, vol. 19, no. 2, pp. 980–990, Jun. 2016, issn: 2215-0986. doi: 10.1016/j.jestch.2015.11.005.B. Do˘gan and T. Ölmez, “A new metaheuristic for numerical function optimization: Vortex search algorithm,” Information Sciences, vol. 293, pp. 125–145, Feb.2015, issn: 0020-0255. doi: 10.1016/j.ins.2014.08.053.M. Toz, “Chaos-based vortex search algorithm for solving inverse kinematics problem of serial robot manipulators with offsetwrist,” Applied Soft Computing, vol. 89, p. 106 074, Apr. 2020, issn: 1568-4946. doi:10.1016/j.asoc.2020.106074.B. Cortés-Caicedo, L. S.Avellaneda-Gómez, O. D. Montoya, L. Alvarado-Barrios, and H. R. Chamorro, “Application of the vortex search algorithm to the phasebalancing problem in distribution systems,” Energies, vol. 14, no. 5, p. 1282, Feb. 2021, issn: 1996-1073. doi: 10.3390/en14051282.O. D. Montoya, W. Gil-Gonzalez, and L. F. Grisales- Norena, “Vortex search algorithm for optimal power flow analysis in dc resistive networks with cpls,” IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 67, no. 8, pp. 1439–1443, Aug. 2020, issn: 1558-3791. doi: 10.1109/tcsii.2019.2938530.R. Zhang, J. Zhou, L. Mo, S. Ouyang, and X. Liao, “Economic environmental dispatch using an enhanced multi-objective cultural algorithm,” Electric Power Systems Research, vol. 99, pp. 18–29, Jun. 2013, issn: 0378-7796. doi: 10.1016/j.epsr.2013.01.010.J. Bezanson, A. Edelman, S. Karpinski, and V. B. Shah,“Julia: A fresh approach to numerical computing,” SIAM Review, vol. 59, no. 1, pp. 65–98, 2017. doi:10.1137/141000671. [Online]. Available: https://epubs.siam.org/doi/10.1137/141000671.M. Lubin, O. Dowson, J. Dias Garcia, J. Huchette, B.Legat, and J. P. Vielma, “JuMP 1.0: Recent improvements to a modeling language for mathematical optimization,”Mathematical Programming Computation,2023. doi: 10.1007/s12532-023-00239-3.M. Basu, “Economic environmental dispatch using multi-objective differential evolution,” Applied Soft Computing, vol. 11, no. 2, pp. 2845–2853, Mar. 2011, issn: 1568-4946. doi: 10.1016/j.asoc.2010.11.014.A. L. Devi and O. V. Krishna, “Combined economic and emission dispatch using evolutionary algorithms – a case study,” ARPN Journal of Engineering and Applied Sciences, vol. 3, no. 6, pp. 28–35, Dec. 2008, issn: 1819- 66083823016Ciencia en Desarrollohttps://revistas.uptc.edu.co/index.php/ciencia_en_desarrollo/article/download/17602/16585Núm. 2 , Año 2025 : Vol. 16 Núm. 2 (2025): Vol. 16 Núm. 2 (2025): Vol 16, Núm.2 (2025): Julio-DiciembrePublicationOREORE.xmltext/xml2858https://repositorio.uptc.edu.co/bitstreams/1f1a3848-f0cb-4765-82c4-8f5c74e1a84c/download84f61d49600e361c318a27f98238304cMD51falseAnonymousREAD001/18780oai:repositorio.uptc.edu.co:001/187802026-10-30 07:02:20.605https://creativecommons.org/licenses/by-nc-nd/4.0/deed.esmetadata.onlyhttps://repositorio.uptc.edu.coRepositorio Institucional UPTCbdigital@metabiblioteca.com

Combined economic-environmental dispatch using the weighting-based optimization model solved via the vortex search algorithm

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