Optimal selection of conductors in distribution systems using tabu search algorithm [Selección óptima de conductores en sistemas de distribución empleando el algoritmo búsqueda tabú]
An efficient methodology for the optimal selection of conductor in distribution systems through the implementation of the metaheuristic optimization technique called Tabu Search is presented in this paper. To represent the problem a mono-objective mathematical model of nonlinear mixed integer type i...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2018
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/8728
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/8728
- Palabra clave:
- Conductors sizing
Constructive algorithm
Distribution systems
Mono-objective optimization
Tabu search
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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dc.title.none.fl_str_mv |
Optimal selection of conductors in distribution systems using tabu search algorithm [Selección óptima de conductores en sistemas de distribución empleando el algoritmo búsqueda tabú] |
title |
Optimal selection of conductors in distribution systems using tabu search algorithm [Selección óptima de conductores en sistemas de distribución empleando el algoritmo búsqueda tabú] |
spellingShingle |
Optimal selection of conductors in distribution systems using tabu search algorithm [Selección óptima de conductores en sistemas de distribución empleando el algoritmo búsqueda tabú] Conductors sizing Constructive algorithm Distribution systems Mono-objective optimization Tabu search |
title_short |
Optimal selection of conductors in distribution systems using tabu search algorithm [Selección óptima de conductores en sistemas de distribución empleando el algoritmo búsqueda tabú] |
title_full |
Optimal selection of conductors in distribution systems using tabu search algorithm [Selección óptima de conductores en sistemas de distribución empleando el algoritmo búsqueda tabú] |
title_fullStr |
Optimal selection of conductors in distribution systems using tabu search algorithm [Selección óptima de conductores en sistemas de distribución empleando el algoritmo búsqueda tabú] |
title_full_unstemmed |
Optimal selection of conductors in distribution systems using tabu search algorithm [Selección óptima de conductores en sistemas de distribución empleando el algoritmo búsqueda tabú] |
title_sort |
Optimal selection of conductors in distribution systems using tabu search algorithm [Selección óptima de conductores en sistemas de distribución empleando el algoritmo búsqueda tabú] |
dc.subject.keywords.none.fl_str_mv |
Conductors sizing Constructive algorithm Distribution systems Mono-objective optimization Tabu search |
topic |
Conductors sizing Constructive algorithm Distribution systems Mono-objective optimization Tabu search |
description |
An efficient methodology for the optimal selection of conductor in distribution systems through the implementation of the metaheuristic optimization technique called Tabu Search is presented in this paper. To represent the problem a mono-objective mathematical model of nonlinear mixed integer type is used. The minimization of investment costs of conductors and operating costs (power losses) for a study period of one year is considered as objective function. A single-phase equivalent system is used for the evaluation. The set of constraints relates to technical and operational characteristics of the system, which are assessed through a backward/forward sweep load flow. Initial configuration to tabu search algorithm is created by using a constructive heuristic that ensures feasibility of the initial solution; to generate the neighborhood strategies of tree searching and graph theory are used. In order to verify its applicability and efficiency, two test feeders of specialized literature are employed, obtaining better quality results than those reported in the literature. © 2018, Universidad de Tarapaca. All rights reserved. |
publishDate |
2018 |
dc.date.issued.none.fl_str_mv |
2018 |
dc.date.accessioned.none.fl_str_mv |
2019-11-06T19:05:11Z |
dc.date.available.none.fl_str_mv |
2019-11-06T19:05:11Z |
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 |
Ingeniare; Vol. 26, Núm. 2; pp. 283-295 |
dc.identifier.issn.none.fl_str_mv |
0718-3291 |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12585/8728 |
dc.identifier.doi.none.fl_str_mv |
10.4067/S0718-33052018000200283 |
dc.identifier.instname.none.fl_str_mv |
Universidad Tecnológica de Bolívar |
dc.identifier.reponame.none.fl_str_mv |
Repositorio UTB |
identifier_str_mv |
Ingeniare; Vol. 26, Núm. 2; pp. 283-295 0718-3291 10.4067/S0718-33052018000200283 Universidad Tecnológica de Bolívar Repositorio UTB |
url |
https://hdl.handle.net/20.500.12585/8728 |
dc.language.iso.none.fl_str_mv |
eng |
language |
eng |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
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/openAccess |
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_abf2 |
eu_rights_str_mv |
openAccess |
dc.format.medium.none.fl_str_mv |
Recurso electrónico |
dc.format.mimetype.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidad de Tarapaca |
publisher.none.fl_str_mv |
Universidad de Tarapaca |
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2019-11-06T19:05:11Z2019-11-06T19:05:11Z2018Ingeniare; Vol. 26, Núm. 2; pp. 283-2950718-3291https://hdl.handle.net/20.500.12585/872810.4067/S0718-33052018000200283Universidad Tecnológica de BolívarRepositorio UTBAn efficient methodology for the optimal selection of conductor in distribution systems through the implementation of the metaheuristic optimization technique called Tabu Search is presented in this paper. To represent the problem a mono-objective mathematical model of nonlinear mixed integer type is used. The minimization of investment costs of conductors and operating costs (power losses) for a study period of one year is considered as objective function. A single-phase equivalent system is used for the evaluation. The set of constraints relates to technical and operational characteristics of the system, which are assessed through a backward/forward sweep load flow. Initial configuration to tabu search algorithm is created by using a constructive heuristic that ensures feasibility of the initial solution; to generate the neighborhood strategies of tree searching and graph theory are used. In order to verify its applicability and efficiency, two test feeders of specialized literature are employed, obtaining better quality results than those reported in the literature. © 2018, Universidad de Tarapaca. All rights reserved.Recurso electrónicoapplication/pdfengUniversidad de Tarapacahttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAtribución-NoComercial 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf2https://www2.scopus.com/inward/record.uri?eid=2-s2.0-85048721609&doi=10.4067%2fS0718-33052018000200283&partnerID=40&md5=15f5ada970ba3b0b60e8332cb8240940Scopus 56919564100Scopus 56919555000Scopus 56150848500Optimal selection of conductors in distribution systems using tabu search algorithm [Selección óptima de conductores en sistemas de distribución empleando el algoritmo búsqueda tabú]info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_2df8fbb1Conductors sizingConstructive algorithmDistribution systemsMono-objective optimizationTabu searchMontoya, G. O.D.Grajales, A.Hincapié, I.R.A.Montoya-Giraldo, O.D., (2014) Planeación óptima De Sistemas De distribución Considerando Reconectadores automáticos Para Aislamiento De Fallas Y Transferencia De Carga, , Master’s thesis, Universidad Tecnológica de Pereira. FebGrajales-Otalvaro, A., (2014) Algoritmo búsqueda tabú Aplicado Al Problema De La planeación De Sistemas De distribución Considerando ubicación Y Dimensionamiento De Condensadores Y Reguladores De tensión, , Master’s thesis, Universidad Tecnológica de Pereira, AuguLavorato, M., Franco, J.F., Rider, M.J., Romero, R., Imposing Radiality Constraints in Distribution System Optimization Problems (2012) IEEE Transactions on Power Systems., 27 (1), pp. 172-180. , FebCastilho-Neto, J., Cossi, A.M., (2014) Alocação De Cabos Em Redes De distribuição De Energia elétrica De média tensão (Mt) Utilizando Algoritmo Chu & Beasley, , Simpósio Brasileiro de Sistemas Eletricos (SBSE). Foz do Iguaçu, Brasil. AprMontoya, O.D., Grajales, A., Hincapié, R.A., Granada, M., Gallego, R.A., Methodology for optimal distribution system planning considering automatic reclosers to improve reliability indices (2014) Transmission & Distribution Conference and Exposition-Latin America (PES T&D-LA). Medellín. Colombia, , SeptWang, Z., Liu, H., Yu, D.C., Wang, X., Song, H., “A practical approach to the conductor size selection in planning radial distribution systems (2000) IEEE Transactions on Power Delivery, 15 (1), pp. 350-354. , JanFalaghi, H., Ramezani, M., Haghifam, M.R., Milani, K.R., Optimal selection of conductors in radial distribution systems with time varying load (2005) 18th International Conference and Exhibition Electricity Distribution. Turin, ItalyMendoza, F., Requena, D., Bemal-Agustin, J.L., Domínguez-Navarro, J.A., Optimal Conductor Size Selection in Radial Power Distribution Systems Using Evolutionary Strategies (2006) In IEEE/PES Transmission & Distribution Conference and Exposition: Latin America. Caracas. Venezuela.Sivanagaraju, S., Sreenivasulu, N., Vijayakumar, M., Ramana, T., Optimal conductor selection for radial distribution systems (2002) Electric Power Systems Research, 63 (28), pp. 95-103. , SeptKaur, D., Sharma, J., Optimal conductor sizing in radial distribution systems planning (2008) International Journal of Electrical Power & Energy Systems, 30 (4), pp. 261-271. , MayFranco, J.F., Rider, M.J., Lavorato, M., Romero, R., Optimal Conductor Size Selection and Reconductoring in Radial Distribution Systems Using a Mixed-Integer LP Approach (2013) IEEE Transactions on Power Systems, 28 (1), pp. 10-20. , FebBakkabulindi, G., Hesamzadeh, M.R., Amelin, M., da Silva, I.P., Models for conductor size selection in Single Wire Earth Return distribution networks (2013) In AFRICON. Port Louis. Mauricio.Glover, F., Tabu Search Fundamentals and Uses, pp. 1-85. , http://leeds-faculty.colorado.edu/glover/TS%20-%20Fundamentals%26Uses.pdf, Fecha. 16/01/207Batista, B.M., Glover, F., Introducción a La búsqueda tabú, pp. 1-36. , http://leeds-faculty.colorado.edu/glover/fred%20pubs/329%20-%20Introduccion%20a%20la%20Busqueda%20Tabu%20TS_Spanish%20w%20Belen(11-9-06).pdf, Fecha. 16/01/207Shirmohammadi, D., Hong, H.W., Semlyen, A., Luo, G.X., A compensation-based power flow method for weakly meshed distribution and transmission networks (1988) IEEE Transactions on Power Systems, 3 (2), pp. 753-762. , MayEldurssi, A.M., O’Connell, R.M., A Fast Nondominated Sorting Guided Genetic Algorithm for Multi-Objective Power Distribution System Reconfiguration Problem (2015) IEEE Transactions on Power Systems, 30 (2), pp. 593-601. , MarchMontoya, O.D., Hincapié, R.A., Granada, M., Nuevo enfoque para la localización óptima de reconectadores en sistemas de distribución considerando la calidad del servicio y los costos de inversión (2016) Ingeniare. Revista Chilena De ingeniería, 24 (1), pp. 55-69. , Janhttp://purl.org/coar/resource_type/c_6501ORIGINALDOI10_4067S0718-33052018000200283.pdfapplication/pdf893989https://repositorio.utb.edu.co/bitstream/20.500.12585/8728/1/DOI10_4067S0718-33052018000200283.pdfffd59592ef62b1cf48f4a1a5c96c923eMD51TEXTDOI10_4067S0718-33052018000200283.pdf.txtDOI10_4067S0718-33052018000200283.pdf.txtExtracted texttext/plain44508https://repositorio.utb.edu.co/bitstream/20.500.12585/8728/4/DOI10_4067S0718-33052018000200283.pdf.txt893fb0486a4c18bdb118c77ba3799377MD54THUMBNAILDOI10_4067S0718-33052018000200283.pdf.jpgDOI10_4067S0718-33052018000200283.pdf.jpgGenerated Thumbnailimage/jpeg76182https://repositorio.utb.edu.co/bitstream/20.500.12585/8728/5/DOI10_4067S0718-33052018000200283.pdf.jpgeac0cebd0fcd9b2deab95cc8c08f2e1fMD5520.500.12585/8728oai:repositorio.utb.edu.co:20.500.12585/87282020-10-23 04:45:07.079Repositorio Institucional UTBrepositorioutb@utb.edu.co |