Applying the Crow Search Algorithm for the Optimal Integration of PV Generation Units in DC Networks
This paper presents an efficient master–slave methodology to solve the problem of integrating photovoltaic (PV) generators into DC grids for a planning period of 20 years. The problem is mathematically formulated as Mixed-Integer Nonlinear Programming (MINLP) with the objective of minimizing the tot...
- Autores:
-
Grisales-Noreña, Luis Fernando
Cortés-Caicedo, Brandon
Alcalá, Gerardo
Montoya, Oscar Danilo
- Tipo de recurso:
- Fecha de publicación:
- 2023
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/12282
- Palabra clave:
- Placement;
Active Distribution Network;
Voltage Stability
LEMB
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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dc.title.spa.fl_str_mv |
Applying the Crow Search Algorithm for the Optimal Integration of PV Generation Units in DC Networks |
title |
Applying the Crow Search Algorithm for the Optimal Integration of PV Generation Units in DC Networks |
spellingShingle |
Applying the Crow Search Algorithm for the Optimal Integration of PV Generation Units in DC Networks Placement; Active Distribution Network; Voltage Stability LEMB |
title_short |
Applying the Crow Search Algorithm for the Optimal Integration of PV Generation Units in DC Networks |
title_full |
Applying the Crow Search Algorithm for the Optimal Integration of PV Generation Units in DC Networks |
title_fullStr |
Applying the Crow Search Algorithm for the Optimal Integration of PV Generation Units in DC Networks |
title_full_unstemmed |
Applying the Crow Search Algorithm for the Optimal Integration of PV Generation Units in DC Networks |
title_sort |
Applying the Crow Search Algorithm for the Optimal Integration of PV Generation Units in DC Networks |
dc.creator.fl_str_mv |
Grisales-Noreña, Luis Fernando Cortés-Caicedo, Brandon Alcalá, Gerardo Montoya, Oscar Danilo |
dc.contributor.author.none.fl_str_mv |
Grisales-Noreña, Luis Fernando Cortés-Caicedo, Brandon Alcalá, Gerardo Montoya, Oscar Danilo |
dc.subject.keywords.spa.fl_str_mv |
Placement; Active Distribution Network; Voltage Stability |
topic |
Placement; Active Distribution Network; Voltage Stability LEMB |
dc.subject.armarc.none.fl_str_mv |
LEMB |
description |
This paper presents an efficient master–slave methodology to solve the problem of integrating photovoltaic (PV) generators into DC grids for a planning period of 20 years. The problem is mathematically formulated as Mixed-Integer Nonlinear Programming (MINLP) with the objective of minimizing the total annual operating cost. The main stage, consisting of a discrete-continuous version of the Crow search algorithm (DCCSA), is in charge of determining the installation positions of the PV generators and their corresponding power ratings. On the other hand, at the slave level, the successive approximation power flow method is used to determine the objective function value. Numerical results on 33- and 69-bus test systems demonstrate the applicability, efficiency and robustness of the developed approach with respect to different methodologies previously discussed in the scientific literature, such as the vortex search algorithm, the generalized normal distribution optimizer and the particle swarm optimization algorithm. Numerical tests are performed in the MATLAB programming environment using proprietary scripts. © 2023 by the authors. |
publishDate |
2023 |
dc.date.accessioned.none.fl_str_mv |
2023-07-21T15:45:30Z |
dc.date.available.none.fl_str_mv |
2023-07-21T15:45:30Z |
dc.date.issued.none.fl_str_mv |
2023 |
dc.date.submitted.none.fl_str_mv |
2023 |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_b1a7d7d4d402bcce |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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info:eu-repo/semantics/article |
dc.type.hasversion.spa.fl_str_mv |
info:eu-repo/semantics/draft |
dc.type.spa.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
status_str |
draft |
dc.identifier.citation.spa.fl_str_mv |
Grisales-Noreña, L.F.; Cortés-Caicedo, B.; Alcalá, G.; Montoya, O.D. Applying the Crow Search Algorithm for the Optimal Integration of PV Generation Units in DC Networks. Mathematics 2023, 11, 387. https://doi.org/10.3390/math11020387 |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12585/12282 |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.3390/math11020387 |
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 |
Grisales-Noreña, L.F.; Cortés-Caicedo, B.; Alcalá, G.; Montoya, O.D. Applying the Crow Search Algorithm for the Optimal Integration of PV Generation Units in DC Networks. Mathematics 2023, 11, 387. https://doi.org/10.3390/math11020387 Universidad Tecnológica de Bolívar Repositorio Universidad Tecnológica de Bolívar |
url |
https://hdl.handle.net/20.500.12585/12282 https://doi.org/10.3390/math11020387 |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
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http://purl.org/coar/access_right/c_abf2 |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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info:eu-repo/semantics/openAccess |
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Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://purl.org/coar/access_right/c_abf2 |
eu_rights_str_mv |
openAccess |
dc.format.extent.none.fl_str_mv |
18 páginas |
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application/pdf |
dc.publisher.place.spa.fl_str_mv |
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Mathematics 2023, 11, 387 |
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Universidad Tecnológica de Bolívar |
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Grisales-Noreña, Luis Fernando7c27cda4-5fe4-4686-8f72-b0442c58a5d1Cortés-Caicedo, Brandon0b676225-338d-48dc-8f2a-694085d9bb42Alcalá, Gerardo04e0a0ab-2e1e-47e9-aa21-c0cb13133579Montoya, Oscar Danilo9fa8a75a-58fa-436d-a6e2-d80f718a4ea82023-07-21T15:45:30Z2023-07-21T15:45:30Z20232023Grisales-Noreña, L.F.; Cortés-Caicedo, B.; Alcalá, G.; Montoya, O.D. Applying the Crow Search Algorithm for the Optimal Integration of PV Generation Units in DC Networks. Mathematics 2023, 11, 387. https://doi.org/10.3390/math11020387https://hdl.handle.net/20.500.12585/12282https://doi.org/10.3390/math11020387Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarThis paper presents an efficient master–slave methodology to solve the problem of integrating photovoltaic (PV) generators into DC grids for a planning period of 20 years. The problem is mathematically formulated as Mixed-Integer Nonlinear Programming (MINLP) with the objective of minimizing the total annual operating cost. The main stage, consisting of a discrete-continuous version of the Crow search algorithm (DCCSA), is in charge of determining the installation positions of the PV generators and their corresponding power ratings. On the other hand, at the slave level, the successive approximation power flow method is used to determine the objective function value. Numerical results on 33- and 69-bus test systems demonstrate the applicability, efficiency and robustness of the developed approach with respect to different methodologies previously discussed in the scientific literature, such as the vortex search algorithm, the generalized normal distribution optimizer and the particle swarm optimization algorithm. Numerical tests are performed in the MATLAB programming environment using proprietary scripts. © 2023 by the authors.18 páginasapplication/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_abf2Mathematics 2023, 11, 387Applying the Crow Search Algorithm for the Optimal Integration of PV Generation Units in DC Networksinfo: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_2df8fbb1Placement;Active Distribution Network;Voltage StabilityLEMBCartagena de IndiasValencia, A., Hincapie, R.A., Gallego, R.A. Optimal location, selection, and operation of battery energy storage systems and renewable distributed generation in medium–low voltage distribution networks (2021) Journal of Energy Storage, 34, art. no. 102158. Cited 60 times. http://www.journals.elsevier.com/journal-of-energy-storage/ doi: 10.1016/j.est.2020.102158Abdelgawad, H., Sood, V.K. A comprehensive review on microgrid architectures for distributed generation (2019) 2019 IEEE Electrical Power and Energy Conference, EPEC 2019, art. no. 9074800. Cited 13 times. http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=9061108 ISBN: 978-172813406-2 doi: 10.1109/EPEC47565.2019.9074800Li, J., Liu, F., Wang, Z., Low, S.H., Mei, S. Optimal Power Flow in Stand-Alone DC Microgrids (2018) IEEE Transactions on Power Systems, 33 (5), art. no. 8279503, pp. 5496-5506. Cited 113 times. doi: 10.1109/TPWRS.2018.2801280Garces, 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 119 times. doi: 10.1109/TPWRS.2018.2820430Alassi, A., Bañales, S., Ellabban, O., Adam, G., MacIver, C. 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