Application of the SSA for Optimal Reactive Power Compensation in Radial and Meshed Distribution Using D-STATCOMs
This paper deals with the problem regarding the optimal placement and sizing of distribution static compensators (D-STATCOMs) in radial and meshed distribution networks. These grids consider industrial, residential, and commercial loads within a daily operation scenario. The optimal reactive power f...
- Autores:
-
Mora-Burbano, Javier Andrés
Fonseca-Díaz, Cristian David
Montoya, Oscar Danilo
- 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:20.500.12585/12278
- 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 |
Application of the SSA for Optimal Reactive Power Compensation in Radial and Meshed Distribution Using D-STATCOMs |
title |
Application of the SSA for Optimal Reactive Power Compensation in Radial and Meshed Distribution Using D-STATCOMs |
spellingShingle |
Application of the SSA for Optimal Reactive Power Compensation in Radial and Meshed Distribution Using D-STATCOMs Placement; Active Distribution Network; Voltage Stability LEMB |
title_short |
Application of the SSA for Optimal Reactive Power Compensation in Radial and Meshed Distribution Using D-STATCOMs |
title_full |
Application of the SSA for Optimal Reactive Power Compensation in Radial and Meshed Distribution Using D-STATCOMs |
title_fullStr |
Application of the SSA for Optimal Reactive Power Compensation in Radial and Meshed Distribution Using D-STATCOMs |
title_full_unstemmed |
Application of the SSA for Optimal Reactive Power Compensation in Radial and Meshed Distribution Using D-STATCOMs |
title_sort |
Application of the SSA for Optimal Reactive Power Compensation in Radial and Meshed Distribution Using D-STATCOMs |
dc.creator.fl_str_mv |
Mora-Burbano, Javier Andrés Fonseca-Díaz, Cristian David Montoya, Oscar Danilo |
dc.contributor.author.none.fl_str_mv |
Mora-Burbano, Javier Andrés Fonseca-Díaz, Cristian David 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 deals with the problem regarding the optimal placement and sizing of distribution static compensators (D-STATCOMs) in radial and meshed distribution networks. These grids consider industrial, residential, and commercial loads within a daily operation scenario. The optimal reactive power flow compensation problem is formulated through a mixed-integer nonlinear programming (MINLP) model. The objective function is associated with the minimization of the expected energy losses costs for a year of operation by considering the investment costs of D-STATCOMs. To solve the MINLP model, the application of a master–slave optimization approach is proposed, which combines the salp swarm algorithm (SSA) in the master stage and the matricial backward/forward power flow method in the slave stage. The master stage is entrusted with defining the optimal nodal location and sizes of the D-STATCOMs, while the slave stage deals with the power flow solution to determine the expected annual energy losses costs for each combination of nodes and sizes for the D-STATCOMs as provided by the SSA. To validate the effectiveness of the proposed master–slave optimizer, the IEEE 33-bus grid was selected as a test feeder. Numerical comparisons were made against the exact solution of the MINLP model with different solvers in the general algebraic modeling system (GAMS) software. All the simulations of the master–slave approach were implemented in the MATLAB programming environment (version 2021b). Numerical results showed that the SSA can provide multiple possible solutions for the studied problem, with small variations in the final objective function, which makes the proposed approach an efficient tool for decision-making in distribution companies. © 2022 by the authors. |
publishDate |
2022 |
dc.date.issued.none.fl_str_mv |
2022 |
dc.date.accessioned.none.fl_str_mv |
2023-07-21T15:43:52Z |
dc.date.available.none.fl_str_mv |
2023-07-21T15:43:52Z |
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 |
dc.type.driver.spa.fl_str_mv |
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 |
Mora-Burbano, J.A.; Fonseca-Díaz, C.D.; Montoya, O.D. Application of the SSA for Optimal Reactive Power Compensation in Radial and Meshed Distribution Using D-STATCOMs. Algorithms 2022, 15, 345. https://doi.org/10.3390/a15100345 |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12585/12278 |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.3390/a15100345 |
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 |
Mora-Burbano, J.A.; Fonseca-Díaz, C.D.; Montoya, O.D. Application of the SSA for Optimal Reactive Power Compensation in Radial and Meshed Distribution Using D-STATCOMs. Algorithms 2022, 15, 345. https://doi.org/10.3390/a15100345 Universidad Tecnológica de Bolívar Repositorio Universidad Tecnológica de Bolívar |
url |
https://hdl.handle.net/20.500.12585/12278 https://doi.org/10.3390/a15100345 |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.uri.*.fl_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
dc.rights.accessrights.spa.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.cc.*.fl_str_mv |
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 http://purl.org/coar/access_right/c_abf2 |
eu_rights_str_mv |
openAccess |
dc.format.extent.none.fl_str_mv |
16 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 |
Algorithms 2022, 15, 345 |
institution |
Universidad Tecnológica de Bolívar |
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Mora-Burbano, Javier Andrésba0216dd-7a9c-4697-a0f8-2cd064d731fbFonseca-Díaz, Cristian Davidf2fbaaf2-ff96-4cd7-b25c-552a5264751aMontoya, Oscar Danilo8a59ede1-6a4a-4d2e-abdc-d0afb14d44802023-07-21T15:43:52Z2023-07-21T15:43:52Z20222023Mora-Burbano, J.A.; Fonseca-Díaz, C.D.; Montoya, O.D. Application of the SSA for Optimal Reactive Power Compensation in Radial and Meshed Distribution Using D-STATCOMs. Algorithms 2022, 15, 345. https://doi.org/10.3390/a15100345https://hdl.handle.net/20.500.12585/12278https://doi.org/10.3390/a15100345Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarThis paper deals with the problem regarding the optimal placement and sizing of distribution static compensators (D-STATCOMs) in radial and meshed distribution networks. These grids consider industrial, residential, and commercial loads within a daily operation scenario. The optimal reactive power flow compensation problem is formulated through a mixed-integer nonlinear programming (MINLP) model. The objective function is associated with the minimization of the expected energy losses costs for a year of operation by considering the investment costs of D-STATCOMs. To solve the MINLP model, the application of a master–slave optimization approach is proposed, which combines the salp swarm algorithm (SSA) in the master stage and the matricial backward/forward power flow method in the slave stage. The master stage is entrusted with defining the optimal nodal location and sizes of the D-STATCOMs, while the slave stage deals with the power flow solution to determine the expected annual energy losses costs for each combination of nodes and sizes for the D-STATCOMs as provided by the SSA. To validate the effectiveness of the proposed master–slave optimizer, the IEEE 33-bus grid was selected as a test feeder. Numerical comparisons were made against the exact solution of the MINLP model with different solvers in the general algebraic modeling system (GAMS) software. All the simulations of the master–slave approach were implemented in the MATLAB programming environment (version 2021b). Numerical results showed that the SSA can provide multiple possible solutions for the studied problem, with small variations in the final objective function, which makes the proposed approach an efficient tool for decision-making in distribution companies. © 2022 by the authors.16 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_abf2Algorithms 2022, 15, 345Application of the SSA for Optimal Reactive Power Compensation in Radial and Meshed Distribution Using D-STATCOMsinfo: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 IndiasSadovskaia, K., Bogdanov, D., Honkapuro, S., Breyer, C. Power transmission and distribution losses – A model based on available empirical data and future trends for all countries globally (2019) International Journal of Electrical Power and Energy Systems, 107, pp. 98-109. Cited 64 times. doi: 10.1016/j.ijepes.2018.11.012Shaw, R., Attree, M., Jackson, T. Developing electricity distribution networks and their regulation to support sustainable energy (2010) Energy Policy, 38 (10), pp. 5927-5937. Cited 32 times. http://www.sciencedirect.com doi: 10.1016/j.enpol.2010.05.046Verma, H.K., Singh, P. Optimal Reconfiguration of Distribution Network Using Modified Culture Algorithm (2018) Journal of The Institution of Engineers (India): Series B, 99 (6), pp. 613-622. Cited 21 times. http://www.springer.com/engineering/signals/journal/40031 doi: 10.1007/s40031-018-0344-6Sultana, S., Roy, P.K. Optimal capacitor placement in radial distribution systems using teaching learning based optimization (Open Access) (2014) International Journal of Electrical Power and Energy Systems, 54, pp. 387-398. Cited 249 times. doi: 10.1016/j.ijepes.2013.07.011Montoya, O.D., Garces, A., Gil-González, W. Minimization of the distribution operating costs with D-STATCOMS: A mixed-integer conic model (Open Access) (2022) Electric Power Systems Research, 212, art. no. 108346. Cited 6 times. https://www.journals.elsevier.com/electric-power-systems-research doi: 10.1016/j.epsr.2022.108346Martin, O., Terry, S., Bottrell, N. Application of a Distribution STATCOM to Manage Network Voltages Proceedings of the 17th International Conference on AC and DC Power Transmission (ACDC 2021) Glasgow, UK, 7–8 December 2021Sirjani, R., Rezaee Jordehi, A. Optimal placement and sizing of distribution static compensator (D-STATCOM) in electric distribution networks: A review (2017) Renewable and Sustainable Energy Reviews, 77, pp. 688-694. Cited 98 times. https://www.journals.elsevier.com/renewable-and-sustainable-energy-reviews doi: 10.1016/j.rser.2017.04.035Rezaeian Marjani, S., Talavat, V., Galvani, S. Optimal allocation of D-STATCOM and reconfiguration in radial distribution network using MOPSO algorithm in TOPSIS framework (Open Access) (2019) International Transactions on Electrical Energy Systems, 29 (2), art. no. e2723. Cited 32 times. http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2050-7038 doi: 10.1002/etep.2723Montoya, O.D., Chamorro, H.R., Alvarado-Barrios, L., Gil-González, W., Orozco-Henao, C. Genetic-convex model for dynamic reactive power compensation in distribution networks using D-STATCOMs (2021) Applied Sciences (Switzerland), 11 (8), art. no. 3353. Cited 13 times. https://www.mdpi.com/2076-3417/11/8/3353/pdf doi: 10.3390/app11083353Castiblanco-Pérez, C.M., Toro-Rodríguez, D.E., Montoya, O.D., Giral-Ramírez, D.A. Optimal placement and sizing of d-statcom in radial and meshed distribution networks using a discrete-continuous version of the genetic algorithm (2021) Electronics (Switzerland), 10 (12), art. no. 1452. Cited 26 times. https://www.mdpi.com/2079-9292/10/12/1452/pdf doi: 10.3390/electronics10121452Gomez-Gonzalez, M., López, A., Jurado, F. Optimization of distributed generation systems using a new discrete PSO and OPF (Open Access) (2012) Electric Power Systems Research, 84 (1), pp. 174-180. Cited 136 times. doi: 10.1016/j.epsr.2011.11.016Salkuti, S.R. Optimal Allocation of DG and D-STATCOM in a Distribution System using Evolutionary based Bat Algorithm (Open Access) (2021) International Journal of Advanced Computer Science and Applications, 12 (4), pp. 360-365. Cited 20 times. http://thesai.org/Publications/Archives?code=IJACSA doi: 10.14569/IJACSA.2021.0120445Taylor, J.A., Hover, F.S. Convex models of distribution system reconfiguration (2012) IEEE Transactions on Power Systems, 27 (3), art. no. 6153415, pp. 1407-1413. Cited 338 times. doi: 10.1109/TPWRS.2012.2184307Tanti, D.K., Verma, M.K., Singh, B., Mehrotra, O.N. Optimal placement of custom power devices in power system network to mitigate voltage sag under faults (2012) International Journal of Power Electronics and Drive Systems, 2 (3), pp. 267-276. Cited 19 times. http://iaesjournal.com/online/index.php/IJPEDS/article/view/370/pdf doi: 10.11591/ijpeds.v2i3.370Taher, S.A., Afsari, S.A. Optimal location and sizing of DSTATCOM in distribution systems by immune algorithm (2014) International Journal of Electrical Power and Energy Systems, 60, pp. 34-44. Cited 206 times. doi: 10.1016/j.ijepes.2014.02.020Devi, S., Geethanjali, M. Optimal location and sizing of Distribution Static Synchronous Series Compensator using Particle Swarm Optimization (2014) International Journal of Electrical Power and Energy Systems, 62, pp. 646-653. Cited 40 times. doi: 10.1016/j.ijepes.2014.05.021Gupta, A.R., Kumar, A. Optimal placement of D-STATCOM in distribution network using new sensitivity index with probabilistic load models (Open Access) (2015) 2015 2nd International Conference on Recent Advances in Engineering and Computational Sciences, RAECS 2015, art. no. 7453316. Cited 11 times. ISBN: 978-146738253-3 doi: 10.1109/RAECS.2015.7453316Faris, H., Mirjalili, S., Aljarah, I., Mafarja, M., Heidari, A.A. Salp swarm algorithm: Theory, literature review, and application in extreme learning machines (Open Access) (2020) Studies in Computational Intelligence, 811, pp. 185-199. Cited 102 times. http://www.springer.com/series/7092 doi: 10.1007/978-3-030-12127-3_11Yuan, Z., Paolone, M. Properties of convex optimal power flow model based on power loss relaxation (Open Access) (2020) Electric Power Systems Research, 186, art. no. 106414. Cited 10 times. https://www.journals.elsevier.com/electric-power-systems-research doi: 10.1016/j.epsr.2020.106414Sharma, A.K., Saxena, A., Tiwari, R. Optimal Placement of SVC Incorporating Installation Cost (2016) Int. J. Hybrid Inf. Technol, 9, pp. 289-302. Cited 20 times.Turgut, M.S., Turgut, O.E., Afan, H.A., El-Shafie, A. A novel Master–Slave optimization algorithm for generating an optimal release policy in case of reservoir operation (Open Access) (2019) Journal of Hydrology, 577, art. no. 123959. Cited 18 times. www.elsevier.com/inca/publications/store/5/0/3/3/4/3 doi: 10.1016/j.jhydrol.2019.123959Jaddi, N.S., Abdullah, S. A cooperative-competitive master-slave global-best harmony search for ANN optimization and water-quality prediction (2017) Applied Soft Computing Journal, 51, pp. 209-224. Cited 42 times. http://www.elsevier.com/wps/find/journaldescription.cws_home/621920/description#description doi: 10.1016/j.asoc.2016.12.011Suchite-Remolino, A., Ruiz-Paredes, H.F., Torres-Garcia, V. A New Approach for PV Nodes Using an Efficient Backward/Forward Sweep Power Flow Technique (2020) IEEE Latin America Transactions, 18 (6), art. no. 9099675, pp. 992-999. Cited 10 times. http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=9907 doi: 10.1109/TLA.2020.9099675Shen, T., Li, Y., Xiang, J. A graph-based power flow method for balanced distribution systems (Open Access) (2018) Energies, 11 (3), art. no. 511. Cited 58 times. http://www.mdpi.com/journal/energies/ doi: 10.3390/en11030511Garces, A. A Linear Three-Phase Load Flow for Power Distribution Systems (Open Access) (2016) IEEE Transactions on Power Systems, 31 (1), art. no. 7027253, pp. 827-828. Cited 213 times. doi: 10.1109/TPWRS.2015.2394296Hegazy, A.E., Makhlouf, M.A., El-Tawel, G.S. Improved salp swarm algorithm for feature selection (2020) Journal of King Saud University - Computer and Information Sciences, 32 (3), pp. 335-344. Cited 141 times. www.journals.elsevier.com/journal-of-king-saud-university-computer-and-information-sciences/ doi: 10.1016/j.jksuci.2018.06.003Mirjalili, S., Gandomi, A.H., Mirjalili, S.Z., Saremi, S., Faris, H., Mirjalili, S.M. Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems (2017) Advances in Engineering Software, 114, pp. 163-191. Cited 2938 times. http://www.journals.elsevier.com/advances-in-engineering-software/ doi: 10.1016/j.advengsoft.2017.07.002Gupta, A.R., Kumar, A. Energy Savings Using D-STATCOM Placement in Radial Distribution System (2015) Procedia Computer Science, 70, pp. 558-564. Cited 43 times. http://www.sciencedirect.com/science/journal/18770509 doi: 10.1016/j.procs.2015.10.100Montano, J., Mejia, A.F.T., Muñoz, A.A.R., Andrade, F., Garzon Rivera, O.D., Palomeque, J.M. Salp swarm optimization algorithm for estimating the parameters of photovoltaic panels based on the three-diode model (2021) Electronics (Switzerland), 10 (24), art. no. 3123. Cited 7 times. https://www.mdpi.com/2079-9292/10/24/3123/pdf doi: 10.3390/electronics10243123Gholizadeh, S., Danesh, M., Gheyratmand, C. A new Newton metaheuristic algorithm for discrete performance-based design optimization of steel moment frames (2020) Computers and Structures, 234, art. no. 106250. 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