A mixed-integer nonlinear programming model for optimal reconfiguration of DC distribution feeders
This paper deals with the optimal reconfiguration problem of DC distribution networks by proposing a new mixed-integer nonlinear programming (MINLP) formulation. This MINLP model focuses on minimising the power losses in the distribution lines by reformulating the classical power balance equations t...
- Autores:
-
Montoya, O.D.
Gil-González, Walter
Hernández, Jesus C.
Giral-Ramírez, Diego Armando
Medina-Quesada, A.
- Tipo de recurso:
- Fecha de publicación:
- 2020
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/9559
- Palabra clave:
- Branch-to-node incidence matrix
Direct current networks
Mixed-integer nonlinear programming model
General algebraic modelling system
Optimal reconfiguration of distribution grids
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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A mixed-integer nonlinear programming model for optimal reconfiguration of DC distribution feeders |
| title |
A mixed-integer nonlinear programming model for optimal reconfiguration of DC distribution feeders |
| spellingShingle |
A mixed-integer nonlinear programming model for optimal reconfiguration of DC distribution feeders Branch-to-node incidence matrix Direct current networks Mixed-integer nonlinear programming model General algebraic modelling system Optimal reconfiguration of distribution grids |
| title_short |
A mixed-integer nonlinear programming model for optimal reconfiguration of DC distribution feeders |
| title_full |
A mixed-integer nonlinear programming model for optimal reconfiguration of DC distribution feeders |
| title_fullStr |
A mixed-integer nonlinear programming model for optimal reconfiguration of DC distribution feeders |
| title_full_unstemmed |
A mixed-integer nonlinear programming model for optimal reconfiguration of DC distribution feeders |
| title_sort |
A mixed-integer nonlinear programming model for optimal reconfiguration of DC distribution feeders |
| dc.creator.fl_str_mv |
Montoya, O.D. Gil-González, Walter Hernández, Jesus C. Giral-Ramírez, Diego Armando Medina-Quesada, A. |
| dc.contributor.author.none.fl_str_mv |
Montoya, O.D. Gil-González, Walter Hernández, Jesus C. Giral-Ramírez, Diego Armando Medina-Quesada, A. |
| dc.subject.keywords.spa.fl_str_mv |
Branch-to-node incidence matrix Direct current networks Mixed-integer nonlinear programming model General algebraic modelling system Optimal reconfiguration of distribution grids |
| topic |
Branch-to-node incidence matrix Direct current networks Mixed-integer nonlinear programming model General algebraic modelling system Optimal reconfiguration of distribution grids |
| description |
This paper deals with the optimal reconfiguration problem of DC distribution networks by proposing a new mixed-integer nonlinear programming (MINLP) formulation. This MINLP model focuses on minimising the power losses in the distribution lines by reformulating the classical power balance equations through a branch-to-node incidence matrix. The general algebraic modelling system (GAMS) is chosen as a solution tool, showing in tutorial form the implementation of the proposed MINLP model in a 6-nodes test feeder with 10 candidate lines. The validation of the MINLP formulation is performed in two classical 10-nodes DC test feeders. These are typically used for power flow and optimal power flow analyses. Numerical results demonstrate that power losses are reduced by about 16% when the optimal reconfiguration plan is found. The numerical validations are made in the GAMS software licensed by Universidad Tecnológica de Bolívar. |
| publishDate |
2020 |
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2020-11-05T21:06:14Z |
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2020-11-05T21:06:14Z |
| dc.date.issued.none.fl_str_mv |
2020-08-27 |
| dc.date.submitted.none.fl_str_mv |
2020-11-03 |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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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/publishedVersion |
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http://purl.org/coar/resource_type/c_6501 |
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publishedVersion |
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Montoya, O.D.; Gil-González, W.; Hernández, J.C.; Giral-Ramírez, D.A.; Medina-Quesada, A. A Mixed-Integer Nonlinear Programming Model for Optimal Reconfiguration of DC Distribution Feeders. Energies 2020, 13, 4440. |
| dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12585/9559 |
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https://www.mdpi.com/1996-1073/13/17/4440 |
| dc.identifier.doi.none.fl_str_mv |
10.3390/en13174440 |
| dc.identifier.instname.spa.fl_str_mv |
Universidad Tecnológica de Bolívar |
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Repositorio Universidad Tecnológica de Bolívar |
| identifier_str_mv |
Montoya, O.D.; Gil-González, W.; Hernández, J.C.; Giral-Ramírez, D.A.; Medina-Quesada, A. A Mixed-Integer Nonlinear Programming Model for Optimal Reconfiguration of DC Distribution Feeders. Energies 2020, 13, 4440. 10.3390/en13174440 Universidad Tecnológica de Bolívar Repositorio Universidad Tecnológica de Bolívar |
| url |
https://hdl.handle.net/20.500.12585/9559 https://www.mdpi.com/1996-1073/13/17/4440 |
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eng |
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eng |
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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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openAccess |
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22 páginas |
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application/pdf |
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Cartagena de Indias |
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Energies 2020, 13(17), 4440 |
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Universidad Tecnológica de Bolívar |
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Montoya, O.D.27ff4177-1725-4ebd-bfb1-60814364e669Gil-González, Walter59bfddb4-d5c7-4bd3-8cbe-49b131a07e1cHernández, Jesus C.2e683005-2088-49f9-a56f-335ed84362e7Giral-Ramírez, Diego Armandoe3e7c1cc-5d21-4f99-9629-3d575ca931e2Medina-Quesada, A.c9388225-c3a2-431f-b3b0-be73d13e9d452020-11-05T21:06:14Z2020-11-05T21:06:14Z2020-08-272020-11-03Montoya, O.D.; Gil-González, W.; Hernández, J.C.; Giral-Ramírez, D.A.; Medina-Quesada, A. A Mixed-Integer Nonlinear Programming Model for Optimal Reconfiguration of DC Distribution Feeders. Energies 2020, 13, 4440.https://hdl.handle.net/20.500.12585/9559https://www.mdpi.com/1996-1073/13/17/444010.3390/en13174440Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarThis paper deals with the optimal reconfiguration problem of DC distribution networks by proposing a new mixed-integer nonlinear programming (MINLP) formulation. This MINLP model focuses on minimising the power losses in the distribution lines by reformulating the classical power balance equations through a branch-to-node incidence matrix. The general algebraic modelling system (GAMS) is chosen as a solution tool, showing in tutorial form the implementation of the proposed MINLP model in a 6-nodes test feeder with 10 candidate lines. The validation of the MINLP formulation is performed in two classical 10-nodes DC test feeders. These are typically used for power flow and optimal power flow analyses. Numerical results demonstrate that power losses are reduced by about 16% when the optimal reconfiguration plan is found. The numerical validations are made in the GAMS software licensed by Universidad Tecnológica de Bolívar.22 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_abf2Energies 2020, 13(17), 4440A mixed-integer nonlinear programming model for optimal reconfiguration of DC distribution feedersinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_2df8fbb1Branch-to-node incidence matrixDirect current networksMixed-integer nonlinear programming modelGeneral algebraic modelling systemOptimal reconfiguration of distribution gridsCartagena de IndiasPúblico generalSarkar, M.N.I.; Meegahapola, L.G.; Datta, M. 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Electronics 2020, 9, 506Sechilariu, M.; Wang, B.; Locment, F. Power management and optimization for isolated DC microgrid. In Proceedings of the 2014 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, Ischia, Italy, 18–20 June 2014; pp. 1284–1289Garcés, A. On the Convergence of Newton’s Method in Power Flow Studies for DC Microgrids. IEEE Trans. Power Syst. 2018, 33, 5770–5777Montoya, O.D.; Grisales-Noreña, L.F.; Gil-González, W.; Alcalá, G.; Hernandez-Escobedo, Q. Optimal Location and Sizing of PV Sources in DC Networks for Minimizing Greenhouse Emissions in Diesel Generators. Symmetry 2020, 12, 322Gil-González, W.; Montoya, O.D.; Grisales-Noreña, L.F.; Cruz-Peragón, F.; Alcalá, G. Economic Dispatch of Renewable Generators and BESS in DC Microgrids Using Second-Order Cone Optimization. Energies 2020, 13, 1703Sharip, M.R.M.; Haidar, A.M.A.; Jimel, A.C. 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