Optimal economic-environmental dispatch in MT-HVDC systems via sine-cosine algorithm

This paper addresses the problem of optimal economic-environmental dispatch in Multi-Terminal High-Voltage Direct Current (MT-HVDC) networks using the Sine-Cosine Algorithm (SCA). This optimization methodology allows working with nonlinear non-convex large-scale optimization problems via sequential...

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Autores:
Montoya, Oscar Danilo
Giral-Ramírez, Diego Armando
Grisales-Noreña, Luis Fernando
Tipo de recurso:
Fecha de publicación:
2022
Institución:
Universidad Tecnológica de Bolívar
Repositorio:
Repositorio Institucional UTB
Idioma:
eng
OAI Identifier:
oai:repositorio.utb.edu.co:20.500.12585/12420
Acceso en línea:
https://hdl.handle.net/20.500.12585/12420
Palabra clave:
Economic Dispatch;
Combined Heat and Power;
Particle Swarm Optimization
LEMB
Rights
openAccess
License
http://creativecommons.org/licenses/by-nc-nd/4.0/
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dc.title.spa.fl_str_mv Optimal economic-environmental dispatch in MT-HVDC systems via sine-cosine algorithm
title Optimal economic-environmental dispatch in MT-HVDC systems via sine-cosine algorithm
spellingShingle Optimal economic-environmental dispatch in MT-HVDC systems via sine-cosine algorithm
Economic Dispatch;
Combined Heat and Power;
Particle Swarm Optimization
LEMB
title_short Optimal economic-environmental dispatch in MT-HVDC systems via sine-cosine algorithm
title_full Optimal economic-environmental dispatch in MT-HVDC systems via sine-cosine algorithm
title_fullStr Optimal economic-environmental dispatch in MT-HVDC systems via sine-cosine algorithm
title_full_unstemmed Optimal economic-environmental dispatch in MT-HVDC systems via sine-cosine algorithm
title_sort Optimal economic-environmental dispatch in MT-HVDC systems via sine-cosine algorithm
dc.creator.fl_str_mv Montoya, Oscar Danilo
Giral-Ramírez, Diego Armando
Grisales-Noreña, Luis Fernando
dc.contributor.author.none.fl_str_mv Montoya, Oscar Danilo
Giral-Ramírez, Diego Armando
Grisales-Noreña, Luis Fernando
dc.subject.keywords.spa.fl_str_mv Economic Dispatch;
Combined Heat and Power;
Particle Swarm Optimization
topic Economic Dispatch;
Combined Heat and Power;
Particle Swarm Optimization
LEMB
dc.subject.armarc.none.fl_str_mv LEMB
description This paper addresses the problem of optimal economic-environmental dispatch in Multi-Terminal High-Voltage Direct Current (MT-HVDC) networks using the Sine-Cosine Algorithm (SCA). This optimization methodology allows working with nonlinear non-convex large-scale optimization problems via sequential programming. The SCA works with an initial population and rules of advance based on the best current solution and sine and cosine functions that define the direction of the next solution. Three variants of the SCA are evaluated in a standard six-node MT-HVDC system considering a linear combination of the objective functions (i.e., greenhouse emissions and energy production costs). The main advantage of the proposed evolutionary approach lies in its pure algorithmic structure. Thus, it can be easily adapted to any continuous optimization problem. All numerical calculations are performed using MATLAB software. © 2022
publishDate 2022
dc.date.issued.none.fl_str_mv 2022
dc.date.accessioned.none.fl_str_mv 2023-07-24T20:49:21Z
dc.date.available.none.fl_str_mv 2023-07-24T20:49:21Z
dc.date.submitted.none.fl_str_mv 2023
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dc.identifier.citation.spa.fl_str_mv Montoya, O. D., Giral-Ramírez, D. A., & Grisales-Noreña, L. F. (2022). Optimal economic-environmental dispatch in MT-HVDC systems via sine-cosine algorithm. Results in Engineering, 13, 100348.
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12585/12420
dc.identifier.doi.none.fl_str_mv 10.1016/j.rineng.2022.100348
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 Montoya, O. D., Giral-Ramírez, D. A., & Grisales-Noreña, L. F. (2022). Optimal economic-environmental dispatch in MT-HVDC systems via sine-cosine algorithm. Results in Engineering, 13, 100348.
10.1016/j.rineng.2022.100348
Universidad Tecnológica de Bolívar
Repositorio Universidad Tecnológica de Bolívar
url https://hdl.handle.net/20.500.12585/12420
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
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 6 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 Results in Engineering
institution Universidad Tecnológica de Bolívar
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spelling Montoya, Oscar Danilo9fa8a75a-58fa-436d-a6e2-d80f718a4ea8Giral-Ramírez, Diego Armandoa9612d05-bc90-49f9-94c7-20a0766e00f5Grisales-Noreña, Luis Fernando7c27cda4-5fe4-4686-8f72-b0442c58a5d12023-07-24T20:49:21Z2023-07-24T20:49:21Z20222023Montoya, O. D., Giral-Ramírez, D. A., & Grisales-Noreña, L. F. (2022). Optimal economic-environmental dispatch in MT-HVDC systems via sine-cosine algorithm. Results in Engineering, 13, 100348.https://hdl.handle.net/20.500.12585/1242010.1016/j.rineng.2022.100348Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarThis paper addresses the problem of optimal economic-environmental dispatch in Multi-Terminal High-Voltage Direct Current (MT-HVDC) networks using the Sine-Cosine Algorithm (SCA). This optimization methodology allows working with nonlinear non-convex large-scale optimization problems via sequential programming. The SCA works with an initial population and rules of advance based on the best current solution and sine and cosine functions that define the direction of the next solution. Three variants of the SCA are evaluated in a standard six-node MT-HVDC system considering a linear combination of the objective functions (i.e., greenhouse emissions and energy production costs). The main advantage of the proposed evolutionary approach lies in its pure algorithmic structure. Thus, it can be easily adapted to any continuous optimization problem. All numerical calculations are performed using MATLAB software. © 20226 páginasapplication/pdfenghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivatives 4.0 InternacionalAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf2Results in EngineeringOptimal economic-environmental dispatch in MT-HVDC systems via sine-cosine algorithminfo: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_2df8fbb1Economic Dispatch;Combined Heat and Power;Particle Swarm OptimizationLEMBCartagena de IndiasKhan, I., Jack, M.W., Stephenson, J. Analysis of greenhouse gas emissions in electricity systems using time-varying carbon intensity (2018) Journal of Cleaner Production, 184, pp. 1091-1101. Cited 69 times. doi: 10.1016/j.jclepro.2018.02.309Xinghua, G., Qun, G., Sayyad, N. 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Cited 8 times. http://iopscience.iop.org/journal/1742-6596 doi: 10.1088/1742-6596/1403/1/012009Bocanegra, S.Y., Montoya, O.D., Molina-Cabrera, A. Sine-cosine optimization approach applied to the parametric estimation in single-phase transformers by considering voltage and current measures (Open Access) (2021) DYNA (Colombia), 88 (219), pp. 19-27. Cited 4 times. http://www.scielo.org.co/pdf/dyna/v88n219/2346-2183-dyna-88-219-19.pdf doi: 10.15446/dyna.v88n219.93670Wang, M., Lu, G. A Modified Sine Cosine Algorithm for Solving Optimization Problems (2021) IEEE Access, 9, art. no. 9350604, pp. 27434-27450. Cited 22 times. http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639 doi: 10.1109/ACCESS.2021.3058128Abualigah, L., Diabat, A. Advances in Sine Cosine Algorithm: A comprehensive survey (2021) Artificial Intelligence Review, 54 (4), pp. 2567-2608. Cited 191 times. www.springer.com/journal/10462 doi: 10.1007/s10462-020-09909-3El-Shorbagy, M.A., Farag, M.A., Mousa, A.A., El-Desoky, I.M. A Hybridization of Sine Cosine Algorithm with Steady State Genetic Algorithm for Engineering Design Problems (Open Access) (2020) Advances in Intelligent Systems and Computing, 921, pp. 143-155. Cited 20 times. http://www.springer.com/series/11156 ISBN: 978-303014117-2 doi: 10.1007/978-3-030-14118-9_15Garces, A. On the convergence of Newton's method in power flow studies for dc microgrids (2018) IEEE Transactions on Power Systems, 33 (5), art. no. 8327530, pp. 5770-5777. Cited 120 times. doi: 10.1109/TPWRS.2018.2820430Montoya, O.D., Garrido, V.M., Gil-Gonzalez, W., Grisales-Norena, L.F. Power Flow Analysis in DC Grids: Two Alternative Numerical Methods (2019) IEEE Transactions on Circuits and Systems II: Express Briefs, 66 (11), art. no. 8606244, pp. 1865-1869. 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