Optimal Location of Protective Devices Using Multi-objective Approach
In this paper a multi-objective model for the problem of optimal location of reclosers and fuses in power electric distribution systems is presented, considering the possibility of fuse rescue through the coordinated operation with reclosers and continuous operation with fuses of repetition. The pro...
- 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:20.500.12585/8911
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/8911
- Palabra clave:
- Distribution protection design
MAIFI
NSGA II
SAIFI
Genetic algorithms
Integer programming
Nonlinear programming
Distribution protection
Interruption frequency index
MAIFI
Mixed-integer nonlinear programming
Multi-objective modeling
NSGA II
SAIFI
System average interruption frequency indices
Electric power distribution
- Rights
- restrictedAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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|
dc.title.none.fl_str_mv |
Optimal Location of Protective Devices Using Multi-objective Approach |
title |
Optimal Location of Protective Devices Using Multi-objective Approach |
spellingShingle |
Optimal Location of Protective Devices Using Multi-objective Approach Distribution protection design MAIFI NSGA II SAIFI Genetic algorithms Integer programming Nonlinear programming Distribution protection Interruption frequency index MAIFI Mixed-integer nonlinear programming Multi-objective modeling NSGA II SAIFI System average interruption frequency indices Electric power distribution |
title_short |
Optimal Location of Protective Devices Using Multi-objective Approach |
title_full |
Optimal Location of Protective Devices Using Multi-objective Approach |
title_fullStr |
Optimal Location of Protective Devices Using Multi-objective Approach |
title_full_unstemmed |
Optimal Location of Protective Devices Using Multi-objective Approach |
title_sort |
Optimal Location of Protective Devices Using Multi-objective Approach |
dc.contributor.editor.none.fl_str_mv |
Maya Duque P.A. Villegas J.G. Figueroa-Garcia J.C. Orozco-Arroyave J.R. |
dc.subject.keywords.none.fl_str_mv |
Distribution protection design MAIFI NSGA II SAIFI Genetic algorithms Integer programming Nonlinear programming Distribution protection Interruption frequency index MAIFI Mixed-integer nonlinear programming Multi-objective modeling NSGA II SAIFI System average interruption frequency indices Electric power distribution |
topic |
Distribution protection design MAIFI NSGA II SAIFI Genetic algorithms Integer programming Nonlinear programming Distribution protection Interruption frequency index MAIFI Mixed-integer nonlinear programming Multi-objective modeling NSGA II SAIFI System average interruption frequency indices Electric power distribution |
description |
In this paper a multi-objective model for the problem of optimal location of reclosers and fuses in power electric distribution systems is presented, considering the possibility of fuse rescue through the coordinated operation with reclosers and continuous operation with fuses of repetition. The problem is presented based on a mixed integer non-linear programming model with four objectives of minimization: Average System Interruption Frequency Index (ASIFI), System Average Interruption Frequency Index (SAIFI), Momentary Average Interruption Frequency Index (MAIFI) and the cost of the protective elements, and a set of non-linear technical and economic constraints. A Non-dominated Sorted Genetic Algorithm (NSGA II) is used as solution technique. In addition to this, the mathematical model presented for the MAIFI and SAIFI indices, is evaluated in the commercial optimization package of GAMS, in order to meet a global optimum from the one-objective point of view. The methodology proposed is assessed in two test systems from the literature highlight the efficiency of the presented model in improving system reliability while reducing associated costs. © 2018, Springer Nature Switzerland AG. |
publishDate |
2018 |
dc.date.issued.none.fl_str_mv |
2018 |
dc.date.accessioned.none.fl_str_mv |
2020-03-26T16:32:35Z |
dc.date.available.none.fl_str_mv |
2020-03-26T16:32:35Z |
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_c94f |
dc.type.driver.none.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
dc.type.hasVersion.none.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.spa.none.fl_str_mv |
Conferencia |
status_str |
publishedVersion |
dc.identifier.citation.none.fl_str_mv |
Communications in Computer and Information Science; Vol. 916, pp. 3-15 |
dc.identifier.isbn.none.fl_str_mv |
9783030003524 |
dc.identifier.issn.none.fl_str_mv |
18650929 |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12585/8911 |
dc.identifier.doi.none.fl_str_mv |
10.1007/978-3-030-00353-1_1 |
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 55490505900 35104766700 |
identifier_str_mv |
Communications in Computer and Information Science; Vol. 916, pp. 3-15 9783030003524 18650929 10.1007/978-3-030-00353-1_1 Universidad Tecnológica de Bolívar Repositorio UTB 56919564100 55490505900 35104766700 |
url |
https://hdl.handle.net/20.500.12585/8911 |
dc.language.iso.none.fl_str_mv |
eng |
language |
eng |
dc.relation.conferencedate.none.fl_str_mv |
17 October 2018 through 19 October 2018 |
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 |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ Atribución-NoComercial 4.0 Internacional http://purl.org/coar/access_right/c_16ec |
eu_rights_str_mv |
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 |
Springer Verlag |
publisher.none.fl_str_mv |
Springer Verlag |
dc.source.none.fl_str_mv |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053994853&doi=10.1007%2f978-3-030-00353-1_1&partnerID=40&md5=327eae68364a487c72ff854f29c5627c |
institution |
Universidad Tecnológica de Bolívar |
dc.source.event.none.fl_str_mv |
5th Workshop on Engineering Applications, WEA 2018 |
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spelling |
Maya Duque P.A.Villegas J.G.Figueroa-Garcia J.C.Orozco-Arroyave J.R.Montoya O.D.Hincapie R.A.Granada M.2020-03-26T16:32:35Z2020-03-26T16:32:35Z2018Communications in Computer and Information Science; Vol. 916, pp. 3-15978303000352418650929https://hdl.handle.net/20.500.12585/891110.1007/978-3-030-00353-1_1Universidad Tecnológica de BolívarRepositorio UTB569195641005549050590035104766700In this paper a multi-objective model for the problem of optimal location of reclosers and fuses in power electric distribution systems is presented, considering the possibility of fuse rescue through the coordinated operation with reclosers and continuous operation with fuses of repetition. The problem is presented based on a mixed integer non-linear programming model with four objectives of minimization: Average System Interruption Frequency Index (ASIFI), System Average Interruption Frequency Index (SAIFI), Momentary Average Interruption Frequency Index (MAIFI) and the cost of the protective elements, and a set of non-linear technical and economic constraints. A Non-dominated Sorted Genetic Algorithm (NSGA II) is used as solution technique. In addition to this, the mathematical model presented for the MAIFI and SAIFI indices, is evaluated in the commercial optimization package of GAMS, in order to meet a global optimum from the one-objective point of view. The methodology proposed is assessed in two test systems from the literature highlight the efficiency of the presented model in improving system reliability while reducing associated costs. © 2018, Springer Nature Switzerland AG.Recurso electrónicoapplication/pdfengSpringer Verlaghttp://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-s2.0-85053994853&doi=10.1007%2f978-3-030-00353-1_1&partnerID=40&md5=327eae68364a487c72ff854f29c5627c5th Workshop on Engineering Applications, WEA 2018Optimal Location of Protective Devices Using Multi-objective Approachinfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionConferenciahttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_c94fDistribution protection designMAIFINSGA IISAIFIGenetic algorithmsInteger programmingNonlinear programmingDistribution protectionInterruption frequency indexMAIFIMixed-integer nonlinear programmingMulti-objective modelingNSGA IISAIFISystem average interruption frequency indicesElectric power distribution17 October 2018 through 19 October 2018Abdi, S., Afshar, K., Ahmadi, S., Bigdeli, N., Abdi, M., Optimal recloser and auto-sectionalizer allocation in distribution networks using IPSO-Monte Carlo approach (2014) Int. J. Electr. Power Energy Syst., 55, pp. 602-611Bretas, A.S., Cabral, R.J., Leborgne, R.C., Ferreira, G.D., Morales, J.A., Multi-objective milp model for distribution systems reliability optimization: A lightning protection system design approach (2018) Int. J. Electr. Power Energy Syst., 98, pp. 256-268Bupasiri, R., Wattanapongsakorn, N., Hokierti, J., Coit, D.W., Optimal electric power distribution system reliability indices using binary programming (2003) Proceedings Annual Reliability and Maintanability SymposiumCoello, C.C., Veldhuizen, D.V., Lamont, G.B., Evolutionary Algorithms for Solving Multi-objective Problems (2002) Kluwer Academic, DordrechtDeb, K., Pratap, A., Agarwal, S., Meyarivan, T., A fast and elitist multi-objetive genetic algorithm: NSGA-II (2002) IEEE Trans. Evol. Comput., 6, pp. 182-197Ferreira, G., Bretas, A., A nonlinear binary programming model for electric distribution systems reliability optimization (2012) Electr. Power Energy Syst., 43, pp. 384-392Ferreira, G.D., Bretas, A.S., Cardoso, G., Jr., Optimal distribution protection design considering momentary and sustained reliability indices (2010) Modern Electric Power SystemsGroup, I.W., (1998) IEEE Trial-Use Guide for Electric Power Distribution Reliability Indices, , Technical report, Institute of Electrical and Electronics EngineersKarpov, A.I., Akimov, D.A., Integral indicators improvement (SAIFI) of power supply reliability in electric distribution systems based on reclosers placement optimization (2018) 2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (Eiconrus), pp. 663-666. , IEEEMontoya, O.D., Arias, A., Granada, M., Hincapié, R.A., Optimal location of reclosers by using MOEA SPEA II (2014) Simpósio Brasileiro De Sistemas EétricosO’Meally, C.A., Burke, J., A fuse blow-scheme: Its impact on overhead distribution system reliability and power quality (2010) IEEE Ind. Appl. Mag., 16, pp. 37-42Penuela, C.A., (2012) Desenvolvimento De técnicas E Modelos matemáticos Para solução Do Problema De Planejamento Da expansão E operação De Sistemas De distribuição De Energia eléctrica Com Geradores Distribuidos, , Ph.D. thesis, Universidad Estad-ual Paulista “Julio de Mesquita Filho”, Facultade de Engenharia, Capus de Ilha SolteiraPulgarín, C.A., Rios, M.A., Acosta, C.A., Hincapié, R.A., Granada, M., Gallego, R.A., Localización óptima de reconectadores normalmente abiertos para transfer-encia de carga (2012) Mundo Eléctrico, 50, pp. 38-44Tio, A.E.D.C., Cruz, I.B.N.C., Malquisto, B.M., Del Mundo, R.D., A binary programming model for reliability optimization considering fuse-blow and fuse-save schemes (2012) IEEE Conference TENCONhttp://purl.org/coar/resource_type/c_c94fTHUMBNAILMiniProdInv.pngMiniProdInv.pngimage/png23941https://repositorio.utb.edu.co/bitstream/20.500.12585/8911/1/MiniProdInv.png0cb0f101a8d16897fb46fc914d3d7043MD5120.500.12585/8911oai:repositorio.utb.edu.co:20.500.12585/89112021-02-02 14:46:35.915Repositorio Institucional UTBrepositorioutb@utb.edu.co |