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...

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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
Acceso en línea:
https://hdl.handle.net/20.500.12585/12278
https://doi.org/10.3390/a15100345
Palabra clave:
Placement;
Active Distribution Network;
Voltage Stability
LEMB
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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
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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
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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
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 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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spelling 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. 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