Optimal Pole-Swapping in Bipolar DC Networks Using Discrete Metaheuristic Optimizers
Bipolar direct current (DC) networks are emerging electrical systems used to improve the distribution capabilities of monopolar DC networks. These grids work with positive, negative, and neutral poles, and they can transport two times the power when compared to monopolar DC grids. The distinctive fe...
- Autores:
-
Montoya, Oscar Danilo
Medina-Quesada, Ángeles
Hernández, Jesus C.
- 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:20.500.12585/12409
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/12409
- 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 Pole-Swapping in Bipolar DC Networks Using Discrete Metaheuristic Optimizers |
| title |
Optimal Pole-Swapping in Bipolar DC Networks Using Discrete Metaheuristic Optimizers |
| spellingShingle |
Optimal Pole-Swapping in Bipolar DC Networks Using Discrete Metaheuristic Optimizers Microgrid; DC-DC Converter; Electric Potential LEMB |
| title_short |
Optimal Pole-Swapping in Bipolar DC Networks Using Discrete Metaheuristic Optimizers |
| title_full |
Optimal Pole-Swapping in Bipolar DC Networks Using Discrete Metaheuristic Optimizers |
| title_fullStr |
Optimal Pole-Swapping in Bipolar DC Networks Using Discrete Metaheuristic Optimizers |
| title_full_unstemmed |
Optimal Pole-Swapping in Bipolar DC Networks Using Discrete Metaheuristic Optimizers |
| title_sort |
Optimal Pole-Swapping in Bipolar DC Networks Using Discrete Metaheuristic Optimizers |
| dc.creator.fl_str_mv |
Montoya, Oscar Danilo Medina-Quesada, Ángeles Hernández, Jesus C. |
| dc.contributor.author.none.fl_str_mv |
Montoya, Oscar Danilo Medina-Quesada, Ángeles Hernández, Jesus C. |
| 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 |
Bipolar direct current (DC) networks are emerging electrical systems used to improve the distribution capabilities of monopolar DC networks. These grids work with positive, negative, and neutral poles, and they can transport two times the power when compared to monopolar DC grids. The distinctive features of bipolar DC grids include the ability to deal with bipolar loads (loads connected between the positive and negative poles) and with unbalanced load conditions, given that the loads connected to the positive and neutral poles are not necessarily equal to the negative and neutral ones. This load imbalance deteriorates voltages when compared to positive and negative poles, and it causes additional power losses in comparison with balanced operation scenarios. This research addresses the problem of pole-swapping in bipolar DC networks using combinatorial optimization methods in order to reduce the total grid power losses and improve the voltage profiles. Bipolar DC networks with a non-solidly grounded neutral wire composed of 21 and 85 nodes are considered in the numerical validations. The implemented combinatorial methods are the Chu and Beasley genetic algorithm, the sine-cosine algorithm, and the black-hole optimization algorithm. Numerical results in both test feeders demonstrate the positive effect of optimal pole-swapping in the total final power losses and the grid voltage profiles. All simulations were run in the MATLAB programming environment using the triangular-based power flow method, which is intended for radial distribution system configurations. © 2022 by the authors. Licensee MDPI, Basel, Switzerland. |
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2022 |
| dc.date.issued.none.fl_str_mv |
2022 |
| dc.date.accessioned.none.fl_str_mv |
2023-07-24T18:52:40Z |
| dc.date.available.none.fl_str_mv |
2023-07-24T18:52:40Z |
| dc.date.submitted.none.fl_str_mv |
2023 |
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info:eu-repo/semantics/draft |
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https://hdl.handle.net/20.500.12585/12409 |
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10.3390/electronics11132034 |
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Universidad Tecnológica de Bolívar |
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Repositorio Universidad Tecnológica de Bolívar |
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https://hdl.handle.net/20.500.12585/12409 |
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10.3390/electronics11132034 Universidad Tecnológica de Bolívar Repositorio Universidad Tecnológica de Bolívar |
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eng |
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eng |
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Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
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17 páginas |
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Montoya, Oscar Danilo8a59ede1-6a4a-4d2e-abdc-d0afb14d4480Medina-Quesada, Ángelesc4945c01-b7fc-40f7-af40-bc8515e102d8Hernández, Jesus C.349b3120-388b-42be-8bea-32156f0dc09d2023-07-24T18:52:40Z2023-07-24T18:52:40Z20222023https://hdl.handle.net/20.500.12585/1240910.3390/electronics11132034Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarBipolar direct current (DC) networks are emerging electrical systems used to improve the distribution capabilities of monopolar DC networks. These grids work with positive, negative, and neutral poles, and they can transport two times the power when compared to monopolar DC grids. The distinctive features of bipolar DC grids include the ability to deal with bipolar loads (loads connected between the positive and negative poles) and with unbalanced load conditions, given that the loads connected to the positive and neutral poles are not necessarily equal to the negative and neutral ones. This load imbalance deteriorates voltages when compared to positive and negative poles, and it causes additional power losses in comparison with balanced operation scenarios. This research addresses the problem of pole-swapping in bipolar DC networks using combinatorial optimization methods in order to reduce the total grid power losses and improve the voltage profiles. Bipolar DC networks with a non-solidly grounded neutral wire composed of 21 and 85 nodes are considered in the numerical validations. The implemented combinatorial methods are the Chu and Beasley genetic algorithm, the sine-cosine algorithm, and the black-hole optimization algorithm. Numerical results in both test feeders demonstrate the positive effect of optimal pole-swapping in the total final power losses and the grid voltage profiles. All simulations were run in the MATLAB programming environment using the triangular-based power flow method, which is intended for radial distribution system configurations. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.17 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_abf2Electronics (Switzerland)Optimal Pole-Swapping in Bipolar DC Networks Using Discrete Metaheuristic Optimizersinfo: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 IndiasGarcés, A., Montoya, O.-D. A Potential Function for the Power Flow in DC Microgrids: An Analysis of the Uniqueness and Existence of the Solution and Convergence of the Algorithms (2019) Journal of Control, Automation and Electrical Systems, 30 (5), pp. 794-801. Cited 16 times. http://rd.springer.com/journal/40313 doi: 10.1007/s40313-019-00489-4MacKay, L., Guarnotta, R., Dimou, A., Morales-España, G., Ramirez-Elizondo, L., Bauer, P. Optimal power flow for unbalanced bipolar DC distribution grids (2018) IEEE Access, 6, pp. 5199-5207. Cited 27 times. http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639 doi: 10.1109/ACCESS.2018.2789522Guo, C., Wang, Y., Liao, J. Coordinated Control of Voltage Balancers for the Regulation of Unbalanced Voltage in a Multi‐Node Bipolar DC Distribution Network (2022) Electronics (Switzerland), 11 (1), art. no. 166. Cited 12 times. https://www.mdpi.com/2079-9292/11/1/166/pdf doi: 10.3390/electronics11010166Garces, A., Montoya, O.D., Gil-Gonzalez, W. Power Flow in Bipolar DC Distribution Networks Considering Current Limits (2022) IEEE Transactions on Power Systems, 37 (5), pp. 4098-4101. Cited 7 times. https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=59 doi: 10.1109/TPWRS.2022.3181851Lee, J.-O., Kim, Y.-S., Jeon, J.-H. Generic power flow algorithm for bipolar DC microgrids based on Newton–Raphson method (2022) International Journal of Electrical Power and Energy Systems, Part B 142, art. no. 108357. Cited 10 times. https://www.journals.elsevier.com/international-journal-of-electrical-power-and-energy-systems doi: 10.1016/j.ijepes.2022.108357Li, B., Wang, W., Liu, Y., Li, B., Wen, W. Research on power flow calculation method of true bipolar VSC-HVDC grids with different operation modes and control strategies (Open Access) (2021) International Journal of Electrical Power and Energy Systems, Part A 126, art. no. 106558. Cited 18 times. https://www.journals.elsevier.com/international-journal-of-electrical-power-and-energy-systems doi: 10.1016/j.ijepes.2020.106558Tavakoli, S.D., Khajesalehi, J., Hamzeh, M., Sheshyekani, K. Decentralised voltage balancing in bipolar dc microgrids equipped with trans-z-source interlinking converter (Open Access) (2016) IET Renewable Power Generation, 10 (5), pp. 703-712. Cited 34 times. http://www.theiet.org/ doi: 10.1049/iet-rpg.2015.0222Liao, J., You, X., Liu, H., Huang, Y. Voltage stability improvement of a bipolar DC system connected with constant power loads (Open Access) (2021) Electric Power Systems Research, 201, art. no. 107508. Cited 8 times. https://www.journals.elsevier.com/electric-power-systems-research doi: 10.1016/j.epsr.2021.107508Medina-Quesada, Á., Montoya, O.D., Hernández, J.C. Derivative-Free Power Flow Solution for Bipolar DC Networks with Multiple Constant Power Terminals (Open Access) (2022) Sensors, 22 (8), art. no. 2914. 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Cited 9 times. doi: 10.1007/s40313-013-0049-7De Oliveira-De Jesus, P.M., Alvarez, M.A., Yusta, J.M. Distribution power flow method based on a real quasi-symmetric matrix (Open Access) (2013) Electric Power Systems Research, 95, pp. 148-159. Cited 35 times. doi: 10.1016/j.epsr.2012.08.011Albadr, M.A., Tiun, S., Ayob, M., Al-Dhief, F. Genetic algorithm based on natural selection theory for optimization problems (Open Access) (2020) Symmetry, 12 (11), art. no. 1758, pp. 1-31. Cited 53 times. https://www.mdpi.com/2073-8994/12/11/1758/pdf doi: 10.3390/sym12111758Yepes, V., Martí, J.V., García, J. Black hole algorithm for sustainable design of counterfort retaining walls (Open Access) (2020) Sustainability (Switzerland), 12 (7), art. no. 2767. Cited 32 times. https://res.mdpi.com/d_attachment/sustainability/sustainability-12-02767/article_deploy/sustainability-12-02767.pdf doi: 10.3390/su12072767Attia, A.-F., El Sehiemy, R.A., Hasanien, H.M. Optimal power flow solution in power systems using a novel Sine-Cosine algorithm (Open Access) (2018) International Journal of Electrical Power and Energy Systems, 99, pp. 331-343. Cited 257 times. doi: 10.1016/j.ijepes.2018.01.024Kumar, S., Datta, D., Kumar Singh, S., Azar, A.T., Vaidyanathan, S. Black hole algorithm and its applications (2015) Studies in Computational Intelligence, 575, pp. 147-170. Cited 38 times. http://www.springer.com/series/7092 doi: 10.1007/978-3-319-11017-2_7Arenas-Acuña, C.A., Rodriguez-Contreras, J.A., Montoya, O.D., Rivas-Trujillo, E. Black-hole optimization applied to the parametric estimation in distribution transformers considering voltage and current measures (2021) Computers, 10 (10), art. no. 124. Cited 10 times. https://www.mdpi.com/2073-431X/10/10/124/pdf doi: 10.3390/computers10100124Garces, A. 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