Optimal location and sizing of capacitors in radial distribution networks using an exact MINLP model for operating costs minimization
This paper presents an exact mixed-integer nonlinear programming (MINLP) model for optimal sizing and location of capacitor banks in radial distribution networks (RDN). The total operating costs of the RDN are minimized taking into account the classical restrictions of the electrical system, which a...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2017
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/8966
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/8966
- Palabra clave:
- Capacitors
Commercial optimization package
Demand scenarios
Exact mathematical model
Mixedinteger nonlinear programming (MINLP)
Power losses minimization
Radial distribution network (RDN)
- Rights
- restrictedAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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dc.title.none.fl_str_mv |
Optimal location and sizing of capacitors in radial distribution networks using an exact MINLP model for operating costs minimization |
title |
Optimal location and sizing of capacitors in radial distribution networks using an exact MINLP model for operating costs minimization |
spellingShingle |
Optimal location and sizing of capacitors in radial distribution networks using an exact MINLP model for operating costs minimization Capacitors Commercial optimization package Demand scenarios Exact mathematical model Mixedinteger nonlinear programming (MINLP) Power losses minimization Radial distribution network (RDN) |
title_short |
Optimal location and sizing of capacitors in radial distribution networks using an exact MINLP model for operating costs minimization |
title_full |
Optimal location and sizing of capacitors in radial distribution networks using an exact MINLP model for operating costs minimization |
title_fullStr |
Optimal location and sizing of capacitors in radial distribution networks using an exact MINLP model for operating costs minimization |
title_full_unstemmed |
Optimal location and sizing of capacitors in radial distribution networks using an exact MINLP model for operating costs minimization |
title_sort |
Optimal location and sizing of capacitors in radial distribution networks using an exact MINLP model for operating costs minimization |
dc.subject.keywords.none.fl_str_mv |
Capacitors Commercial optimization package Demand scenarios Exact mathematical model Mixedinteger nonlinear programming (MINLP) Power losses minimization Radial distribution network (RDN) |
topic |
Capacitors Commercial optimization package Demand scenarios Exact mathematical model Mixedinteger nonlinear programming (MINLP) Power losses minimization Radial distribution network (RDN) |
description |
This paper presents an exact mixed-integer nonlinear programming (MINLP) model for optimal sizing and location of capacitor banks in radial distribution networks (RDN). The total operating costs of the RDN are minimized taking into account the classical restrictions of the electrical system, which are modeled by using a power flow formulation. Only fixed capacitor banks are considered in this paper. A commercial optimization package known as general algebraic modeling system (GAMS) is employed to implement the MINLP, ant its solution is obtained by CONOPT package. The effectiveness and robustness of the proposed mathematical model is tested in two RDNs with 10 and 33 nodes respectively. Additionally, three different demand scenarios are considered for simulation analysis. © 2017 World Scientific and Engineering Academy and Society. All Rights Reserved. |
publishDate |
2017 |
dc.date.issued.none.fl_str_mv |
2017 |
dc.date.accessioned.none.fl_str_mv |
2020-03-26T16:32:40Z |
dc.date.available.none.fl_str_mv |
2020-03-26T16:32:40Z |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.driver.none.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.hasversion.none.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.spa.none.fl_str_mv |
Artículo |
status_str |
publishedVersion |
dc.identifier.citation.none.fl_str_mv |
WSEAS Transactions on Business and Economics; Vol. 14, pp. 244-252 |
dc.identifier.issn.none.fl_str_mv |
11099526 |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12585/8966 |
dc.identifier.instname.none.fl_str_mv |
Universidad Tecnológica de Bolívar |
dc.identifier.reponame.none.fl_str_mv |
Repositorio UTB |
dc.identifier.orcid.none.fl_str_mv |
56919564100 55791991200 57208126635 |
identifier_str_mv |
WSEAS Transactions on Business and Economics; Vol. 14, pp. 244-252 11099526 Universidad Tecnológica de Bolívar Repositorio UTB 56919564100 55791991200 57208126635 |
url |
https://hdl.handle.net/20.500.12585/8966 |
dc.language.iso.none.fl_str_mv |
eng |
language |
eng |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_16ec |
dc.rights.uri.none.fl_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
dc.rights.accessrights.none.fl_str_mv |
info:eu-repo/semantics/restrictedAccess |
dc.rights.cc.none.fl_str_mv |
Atribución-NoComercial 4.0 Internacional |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ Atribución-NoComercial 4.0 Internacional http://purl.org/coar/access_right/c_16ec |
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restrictedAccess |
dc.format.medium.none.fl_str_mv |
Recurso electrónico |
dc.format.mimetype.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
World Scientific and Engineering Academy and Society |
publisher.none.fl_str_mv |
World Scientific and Engineering Academy and Society |
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85037051421&partnerID=40&md5=965ce384a54bfde667460ff727b33925 |
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Universidad Tecnológica de Bolívar |
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2020-03-26T16:32:40Z2020-03-26T16:32:40Z2017WSEAS Transactions on Business and Economics; Vol. 14, pp. 244-25211099526https://hdl.handle.net/20.500.12585/8966Universidad Tecnológica de BolívarRepositorio UTB569195641005579199120057208126635This paper presents an exact mixed-integer nonlinear programming (MINLP) model for optimal sizing and location of capacitor banks in radial distribution networks (RDN). The total operating costs of the RDN are minimized taking into account the classical restrictions of the electrical system, which are modeled by using a power flow formulation. Only fixed capacitor banks are considered in this paper. A commercial optimization package known as general algebraic modeling system (GAMS) is employed to implement the MINLP, ant its solution is obtained by CONOPT package. The effectiveness and robustness of the proposed mathematical model is tested in two RDNs with 10 and 33 nodes respectively. Additionally, three different demand scenarios are considered for simulation analysis. © 2017 World Scientific and Engineering Academy and Society. All Rights Reserved.Acknowledgements: The authors want to thank the support of National Scholarship Program Doctorates of the Administrative Department of Science, Technology and Innovation of Colombia (COLCIEN-CIAS), by calling contest 727-2015 and PhD program in Engineering of the Technological University of Pereira.Recurso electrónicoapplication/pdfengWorld Scientific and Engineering Academy and Societyhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/restrictedAccessAtribución-NoComercial 4.0 Internacionalhttp://purl.org/coar/access_right/c_16echttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85037051421&partnerID=40&md5=965ce384a54bfde667460ff727b33925Optimal location and sizing of capacitors in radial distribution networks using an exact MINLP model for operating costs minimizationinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_2df8fbb1CapacitorsCommercial optimization packageDemand scenariosExact mathematical modelMixedinteger nonlinear programming (MINLP)Power losses minimizationRadial distribution network (RDN)Montoya Giraldo O.D.Grisales Noreña L.F.Garrido Arévalo, Víctor ManuelEspinosa-Reza, A., Aguilar-Valenzuela, H.R., Molina-Marin, M., Torres-Espindola, M.L., Calleros-Torres, T.M., Granados-Gomez, E., Garcia-Mendoza, R., Villatoro- Hernandez, C., Semantic interoperability for operational planning for the electric power distribution system (2016) WSEAS TRANSACTIONS on POWER SYSTEMS, 11 (1), pp. 289-298. , janKersting, W., (2012) Distribution System Modeling and Analysis, , https://books.google.com.co/books?id=a-MY5JLUTKYC, Third Edition. Taylor & FrancisLakervi, E., Holmes, E., (1995) Electricity Distribution Network Design, , https://books.google.com.co/books?id=HMLBEXay1DUC, ser. IEE power engineering series. Peter PeregrinusAbeysinghe, S., Wu, J., Sooriyabandara, M., Abeysekera, M., Xu, T., Wang, C., Topological properties of medium voltage electricity distribution networks (2017) Appl. EnergyThomas, M., Rakeshranjanraina, R., Load flow solution for unbalanced radial power distribution using monte-carlo simulation (2014) WSEAS TRANSACTIONS on POWER SYSTEMS, 9 (1), pp. 24-30. , janRamirez-Rosado, I.J., Dominguez- Navarro, J.A., Possibilistic model based on fuzzy sets for the multiobjective optimal planning of electric power distribution networks (2004) IEEE Trans. Power Syst, 19 (4), pp. 1801-1810. , NovAman, M., Jasmon, G., Bakar, A., Mokhlis, H., Karimi, M., Optimum shunt capacitor placement in distribution systema review and comparative study (2014) Renewable Sustainable Energy Rev., 30, pp. 429-439Sirjani, R., Jordehi, A.R., Optimal placement and sizing of distribution static compensator (D-statcom) in electric distribution networks: A review (2017) Renewable Sustainable Energy Rev., 77, pp. 688-694Etemadi, A.H., Fotuhi-Firuzabad, M., Distribution system reliability enhancement using optimal capacitor placement (2008) IET Generation, Transmission Distribution, 2 (5), pp. 621-631Skworcow, P., Paluszczyszyn, D., Ulanicki, B., Rudek, R., Belrain, T., Optimisation of pump and valve schedules in complex largescale water distribution systems using gams modelling language (2014) Procedia Eng, 70, pp. 1566-1574. , 12th International Conference on Computing and Control for the Water Industry, CCWI2013Montoya, O.D., Grajales, A., Garces, A., Castro, C.A., Distribution systems operation considering energy storage devices and distributed generation (2017) IEEE Latin America Transactions, 15 (5), pp. 890-900. , MayCastillo, E., Conejo, A., Pedregal, P., García, R., Alguacil, N., (2001) Building and Solving Mathematical Programming Models in Engineering and Science, Ser. Pure and Applied Mathematics, , A Wiley Series of Texts, Monographs and Tracts. WileySiddiqui, A.S., Rahman, “Optimal capacitor placement to reduce losses in distribution system,” (2012) WSEAS TRANSACTIONS on POWER SYSTEMS, 7 (1), pp. 12-17. , janDa Rosa, W.M., Rossoni, P., Teixeira, J.C., Belati, E.A., Asano, P.T.L., Optimal allocation of capacitor banks using genetic algorithm and sensitivity analysis (2016) IEEE Lat. Am. Trans., 14 (8), pp. 3702-3707. , AugOgita, Y., Mori, H., Parallel dual tabu search for capacitor placement in smart grids (2012) Procedia Comput. 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Power Energy Syst., 80, pp. 252-263Abdelaziz, A., Ali, E., Elazim, S.A., Optimal sizing and locations of capacitors in radial distribution systems via flower pollination optimization algorithm and power loss index (2016) Engineering Science and Technology, an International Journal, 19 (1), pp. 610-618Taher, S.A., Bagherpour, R., A new approach for optimal capacitor placement and sizing in unbalanced distorted distribution systems using hybrid honey bee colony algorithm (2013) Int. J. Electr. Power Energy Syst., 49, pp. 430-448Chiou, J.-P., Chang, C.-F., Development of a novel algorithm for optimal capacitor placement in distribution systems (2015) Int. J. Electr. Power Energy Syst., 73, pp. 684-690El-Fergany, A.A., Optimal capacitor allocations using evolutionary algorithms (2013) IET Generation, Transmission Distribution, 7 (6), pp. 593-601. , JuneHamouda, A., Sayah, S., Optimal capacitors sizing in distribution feeders using heuristic search based node stability-indices (2013) Int. J. Electr. Power Energy Syst., 46, pp. 56-64El-Fergany, A.A., Abdelaziz, A.Y., Efficient heuristic-based approach for multi-objective capacitor allocation in radial distribution networks (2014) IET Generation, Transmission Distribution, 8 (1), pp. 70-80Kashani, S.J., Farjah, E., Applying neural network and genetic algorithm for optimal placement of ultra-capacitors in metro systems (2011) 2011 IEEE Electrical Power and Energy Conference, pp. 35-40. , OctGallego, R.A., Monticelli, A.J., Romero, R., Optimal capacitor placement in radial distribution networks (2001) IEEE Trans. Power Syst., 16 (4), pp. 630-637. , NovFranco, J.F., Rider, M.J., Lavorato, M., Romero, R., A mixed-integer lp model for the optimal allocation of voltage regulators and capacitors in radial distribution systems (2013) Int. J. Electr. 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Revista Chilena De Ingenieria, 25 (3), pp. 415-429. , Julhttp://purl.org/coar/resource_type/c_6501THUMBNAILMiniProdInv.pngMiniProdInv.pngimage/png23941https://repositorio.utb.edu.co/bitstream/20.500.12585/8966/1/MiniProdInv.png0cb0f101a8d16897fb46fc914d3d7043MD5120.500.12585/8966oai:repositorio.utb.edu.co:20.500.12585/89662023-05-26 10:05:33.201Repositorio Institucional UTBrepositorioutb@utb.edu.co |