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...

Full description

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/
id UTB2_cfec0fdf39441e87ef38c7f9893eb7aa
oai_identifier_str oai:repositorio.utb.edu.co:20.500.12585/8911
network_acronym_str UTB2
network_name_str Repositorio Institucional UTB
repository_id_str
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
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
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
bitstream.url.fl_str_mv https://repositorio.utb.edu.co/bitstream/20.500.12585/8911/1/MiniProdInv.png
bitstream.checksum.fl_str_mv 0cb0f101a8d16897fb46fc914d3d7043
bitstream.checksumAlgorithm.fl_str_mv MD5
repository.name.fl_str_mv Repositorio Institucional UTB
repository.mail.fl_str_mv repositorioutb@utb.edu.co
_version_ 1814021766085869568
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