Optimal Power Dispatch of DGs in Radial and Mesh AC Grids: A Hybrid Solution Methodology between the Salps Swarm Algorithm and Successive Approximation Power Flow Method
In this paper, we address the problem of the optimal power dispatch of Distributed Generators (DGs) in Alternating Current (AC) networks, better known as the Optimal Power Flow (OPF) problem. We used, as the objective function, the minimization of power losses (Formula presented.) associated with en...
- Autores:
-
Rosales-Muñoz, Andrés Alfonso
Montano, Jhon
Grisales-Noreña, Luis Fernando
Montoya, Oscar Danilo
Andrade, Fabio
- 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:20.500.12585/12415
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/12415
- Palabra clave:
- Microgrid;
DC-DC Converter;
Electric Potential
LEMB
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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Optimal Power Dispatch of DGs in Radial and Mesh AC Grids: A Hybrid Solution Methodology between the Salps Swarm Algorithm and Successive Approximation Power Flow Method |
| title |
Optimal Power Dispatch of DGs in Radial and Mesh AC Grids: A Hybrid Solution Methodology between the Salps Swarm Algorithm and Successive Approximation Power Flow Method |
| spellingShingle |
Optimal Power Dispatch of DGs in Radial and Mesh AC Grids: A Hybrid Solution Methodology between the Salps Swarm Algorithm and Successive Approximation Power Flow Method Microgrid; DC-DC Converter; Electric Potential LEMB |
| title_short |
Optimal Power Dispatch of DGs in Radial and Mesh AC Grids: A Hybrid Solution Methodology between the Salps Swarm Algorithm and Successive Approximation Power Flow Method |
| title_full |
Optimal Power Dispatch of DGs in Radial and Mesh AC Grids: A Hybrid Solution Methodology between the Salps Swarm Algorithm and Successive Approximation Power Flow Method |
| title_fullStr |
Optimal Power Dispatch of DGs in Radial and Mesh AC Grids: A Hybrid Solution Methodology between the Salps Swarm Algorithm and Successive Approximation Power Flow Method |
| title_full_unstemmed |
Optimal Power Dispatch of DGs in Radial and Mesh AC Grids: A Hybrid Solution Methodology between the Salps Swarm Algorithm and Successive Approximation Power Flow Method |
| title_sort |
Optimal Power Dispatch of DGs in Radial and Mesh AC Grids: A Hybrid Solution Methodology between the Salps Swarm Algorithm and Successive Approximation Power Flow Method |
| dc.creator.fl_str_mv |
Rosales-Muñoz, Andrés Alfonso Montano, Jhon Grisales-Noreña, Luis Fernando Montoya, Oscar Danilo Andrade, Fabio |
| dc.contributor.author.none.fl_str_mv |
Rosales-Muñoz, Andrés Alfonso Montano, Jhon Grisales-Noreña, Luis Fernando Montoya, Oscar Danilo Andrade, Fabio |
| dc.subject.keywords.spa.fl_str_mv |
Microgrid; DC-DC Converter; Electric Potential |
| topic |
Microgrid; DC-DC Converter; Electric Potential LEMB |
| dc.subject.armarc.none.fl_str_mv |
LEMB |
| description |
In this paper, we address the problem of the optimal power dispatch of Distributed Generators (DGs) in Alternating Current (AC) networks, better known as the Optimal Power Flow (OPF) problem. We used, as the objective function, the minimization of power losses (Formula presented.) associated with energy transport, which are subject to the set of constraints that compose AC networks in an environment of distributed generation. To validate the effectiveness of the proposed methodology in solving the OPF problem in any network topology, we employed one 10-node mesh test system and three radial text systems: 10, 33, and 69 nodes. In each test system, DGs were allowed to inject (Formula presented.), (Formula presented.), and (Formula presented.) of the power supplied by the slack generator in the base case. To solve the OPF problem, we used a master–slave methodology that integrates the optimization method Salps Swarm Algorithm (SSA) and the load flow technique based on the Successive Approximation (SA) method. Moreover, for comparison purposes, we employed some of the algorithms reported in the specialized literature to solve the OPF problem (the continuous genetic algorithm, the particle swarm optimization algorithm, the black hole algorithm, the antlion optimization algorithm, and the Multi-Verse Optimizer algorithm), which were selected because of their excellent results in solving such problems. The results obtained by the proposed solution methodology demonstrate its superiority and convergence capacity in terms of minimization of (Formula presented.) in both radial and mesh systems. It provided the best reduction in minimum (Formula presented.) in short processing times and showed excellent repeatability in each test system and scenario under analysis. © 2022 by the authors. |
| publishDate |
2022 |
| dc.date.issued.none.fl_str_mv |
2022 |
| dc.date.accessioned.none.fl_str_mv |
2023-07-24T20:48:20Z |
| dc.date.available.none.fl_str_mv |
2023-07-24T20:48:20Z |
| dc.date.submitted.none.fl_str_mv |
2023 |
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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 |
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info:eu-repo/semantics/draft |
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http://purl.org/coar/resource_type/c_6501 |
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draft |
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Rosales-Muñoz, A. A., Montano, J., Grisales-Noreña, L. F., Montoya, O. D., & Andrade, F. (2022). Optimal Power Dispatch of DGs in Radial and Mesh AC Grids: A Hybrid Solution Methodology between the Salps Swarm Algorithm and Successive Approximation Power Flow Method. Sustainability, 14(20), 13408. |
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https://hdl.handle.net/20.500.12585/12415 |
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10.3390/su142013408 |
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Universidad Tecnológica de Bolívar |
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Repositorio Universidad Tecnológica de Bolívar |
| identifier_str_mv |
Rosales-Muñoz, A. A., Montano, J., Grisales-Noreña, L. F., Montoya, O. D., & Andrade, F. (2022). Optimal Power Dispatch of DGs in Radial and Mesh AC Grids: A Hybrid Solution Methodology between the Salps Swarm Algorithm and Successive Approximation Power Flow Method. Sustainability, 14(20), 13408. 10.3390/su142013408 Universidad Tecnológica de Bolívar Repositorio Universidad Tecnológica de Bolívar |
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https://hdl.handle.net/20.500.12585/12415 |
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eng |
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eng |
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Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
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32 páginas |
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Cartagena de Indias |
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Rosales-Muñoz, Andrés Alfonso1cadd052-2b2e-4872-b1d3-7679f6be5f2aMontano, Jhon5edc0c05-f7f1-4a81-8b30-3981975c221dGrisales-Noreña, Luis Fernando7c27cda4-5fe4-4686-8f72-b0442c58a5d1Montoya, Oscar Danilo9fa8a75a-58fa-436d-a6e2-d80f718a4ea8Andrade, Fabio3994c1b0-72d3-421d-97ba-4bf241fef00f2023-07-24T20:48:20Z2023-07-24T20:48:20Z20222023Rosales-Muñoz, A. A., Montano, J., Grisales-Noreña, L. F., Montoya, O. D., & Andrade, F. (2022). Optimal Power Dispatch of DGs in Radial and Mesh AC Grids: A Hybrid Solution Methodology between the Salps Swarm Algorithm and Successive Approximation Power Flow Method. Sustainability, 14(20), 13408.https://hdl.handle.net/20.500.12585/1241510.3390/su142013408Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarIn this paper, we address the problem of the optimal power dispatch of Distributed Generators (DGs) in Alternating Current (AC) networks, better known as the Optimal Power Flow (OPF) problem. We used, as the objective function, the minimization of power losses (Formula presented.) associated with energy transport, which are subject to the set of constraints that compose AC networks in an environment of distributed generation. To validate the effectiveness of the proposed methodology in solving the OPF problem in any network topology, we employed one 10-node mesh test system and three radial text systems: 10, 33, and 69 nodes. In each test system, DGs were allowed to inject (Formula presented.), (Formula presented.), and (Formula presented.) of the power supplied by the slack generator in the base case. To solve the OPF problem, we used a master–slave methodology that integrates the optimization method Salps Swarm Algorithm (SSA) and the load flow technique based on the Successive Approximation (SA) method. Moreover, for comparison purposes, we employed some of the algorithms reported in the specialized literature to solve the OPF problem (the continuous genetic algorithm, the particle swarm optimization algorithm, the black hole algorithm, the antlion optimization algorithm, and the Multi-Verse Optimizer algorithm), which were selected because of their excellent results in solving such problems. The results obtained by the proposed solution methodology demonstrate its superiority and convergence capacity in terms of minimization of (Formula presented.) in both radial and mesh systems. It provided the best reduction in minimum (Formula presented.) in short processing times and showed excellent repeatability in each test system and scenario under analysis. © 2022 by the authors.32 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_abf2Sustainability (Switzerland)Optimal Power Dispatch of DGs in Radial and Mesh AC Grids: A Hybrid Solution Methodology between the Salps Swarm Algorithm and Successive Approximation Power Flow Methodinfo: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_2df8fbb1Microgrid;DC-DC Converter;Electric PotentialLEMBCartagena de IndiasHák, T., Janoušková, S., Moldan, B. 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Cited 7 times. http://harvardelr.com/wp-content/uploads/2018/03/revesz_unel.pdfEnsini, L., Sandrolini, L., Thomas, D.W.P., Sumner, M., Rose, C. Conducted Emissions on DC Power Grids (2018) IEEE International Symposium on Electromagnetic Compatibility, 2018-August, art. no. 8485174, pp. 214-219. Cited 11 times. ISBN: 978-146739697-4 doi: 10.1109/EMCEurope.2018.8485174Grisales-Noreña, L.F., Montoya, O.D., Hincapié-Isaza, R.A., Granada Echeverri, M., Perea-Moreno, A.-J. Optimal location and sizing of dgs in dc networks using a hybrid methodology based on the ppbil algorithm and the vsa (2021) Mathematics, 9 (16), art. no. 1913. Cited 9 times. https://www.mdpi.com/2227-7390/9/16/1913/pdf doi: 10.3390/math9161913Koohi-Fayegh, S., Rosen, M.A. A review of energy storage types, applications and recent developments (2020) Journal of Energy Storage, 27, art. no. 101047. 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