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Network reconfiguration using a genetic approach for loss and reliability optimization in distribution systems

2009-03Conference paper Restricted access
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datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.sdg07:Energias Renováveis e Acessíveis
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorVitorino, Romeu
dc.contributor.authorJorge, Humberto M. M.
dc.contributor.authorPires Neves, Luís
dc.date.accessioned2025-06-06T16:15:30Z
dc.date.available2025-06-06T16:15:30Z
dc.date.issued2009-03
dc.descriptionArticle number 4915219, 2nd International Conference on Power Engineering, Energy and Electrical Drives, POWERENG 2009, 18 March 2009 through 20 March 2009 - Code 77128
dc.description.abstractThis paper presents a new method to improve reliability and also minimize losses in radial distribution systems (RDS), trough a process of network reconfiguration, using a genetic algorithm approach. The methodology adopted to enhance reliability, uses the Monte Carlo simulation and an historical data of the network such as the level of reliability and the severity of potential contingencies in each branch. The method analyses the RDS in two perspectives. A first perspective of optimization considering no investment, therefore using only the switches presented in the network, and a second perspective of optimization where is given the possibility to place a limited number of tie-switches and thus get better results. Here, the number of tie-switches and the branches that can receive them are defined by a decision agent. The effectiveness of the proposed method is demonstrated through the analysis of a 69 bus RDS.eng
dc.identifier.citationR. M. V. Vitorino, H. M. M. Jorge and L. M. P. Neves, "Network reconfiguration using a genetic approach for loss and reliability optimization in distribution systems," 2009 International Conference on Power Engineering, Energy and Electrical Drives, Lisbon, Portugal, 2009, pp. 84-89, doi: https://doi.org/10.1109/POWERENG.2009.4915219.
dc.identifier.doi10.1109/powereng.2009.4915219
dc.identifier.eissn2155-5532
dc.identifier.isbn978-1-4244-2290-6
dc.identifier.issn2155-5516
dc.identifier.urihttp://hdl.handle.net/10400.8/13182
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE Canada
dc.relation.hasversionhttps://ieeexplore.ieee.org/document/4915219
dc.relation.ispartof2009 International Conference on Power Engineering, Energy and Electrical Drives
dc.rights.uriN/A
dc.subjectGenetics
dc.subjectSwitches
dc.subjectPower system reliability
dc.subjectPaper technology
dc.subjectComputer networks
dc.subjectDistributed computing
dc.subjectComputer network reliability
dc.subjectLoad management
dc.subjectSimulated annealing
dc.subjectOptimization methods
dc.titleNetwork reconfiguration using a genetic approach for loss and reliability optimization in distribution systemseng
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2009-03
oaire.citation.conferencePlaceLisbon, Portugal
oaire.citation.endPage89
oaire.citation.startPage84
oaire.citation.titleInternational Conference on Power Engineering, Energy and Electrical Drives
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameVitorino
person.familyNamePires Neves
person.givenNameRomeu
person.givenNameLuís
person.identifier.ciencia-id591E-30D4-2C97
person.identifier.orcid0000-0003-4755-9680
person.identifier.orcid0000-0002-2600-5622
person.identifier.scopus-author-id34977315800
relation.isAuthorOfPublication9b20a4ba-f63e-4df1-8297-5b5e034b67e2
relation.isAuthorOfPublication5315d446-6d51-4d95-aeaa-72b6a44a4838
relation.isAuthorOfPublication.latestForDiscovery9b20a4ba-f63e-4df1-8297-5b5e034b67e2

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