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DC Fuzzy Multicriteria Approach to Increase the Probability of Delivering Power in Distribution Networks

dc.contributor.authorCanizes, Bruno
dc.contributor.authorSoares, João
dc.contributor.authorVale, Zita
dc.contributor.authorLobo, Cristina
dc.date.accessioned2015-05-04T15:18:04Z
dc.date.available2015-05-04T15:18:04Z
dc.date.issued2013-07
dc.description.abstractThis paper proposes a methodology to increase the probability of delivering power to any load point through the identification of new investments. The methodology uses a fuzzy set approach to model the uncertainty of outage parameters, load and generation. A DC fuzzy multicriteria optimization model considering the Pareto front and based on mixed integer non-linear optimization programming is developed in order to identify the adequate investments in distribution networks components which allow increasing the probability of delivering power to all customers in the distribution network at the minimum possible cost for the system operator, while minimizing the non supplied energy cost. To illustrate the application of the proposed methodology, the paper includes a case study which considers an 33 bus distribution network.por
dc.identifier.urihttp://hdl.handle.net/10400.22/5895
dc.language.isoengpor
dc.publisherISAPpor
dc.relation.ispartofseriesISAP;2013
dc.subjectDistribution networkpor
dc.subjectFuzzy setpor
dc.subjectOptimizationpor
dc.subjectPareto frontpor
dc.subjectReliabilitypor
dc.titleDC Fuzzy Multicriteria Approach to Increase the Probability of Delivering Power in Distribution Networkspor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceTóquio, Japãopor
oaire.citation.titleISAP 2013 - 17th International Conference on Intelligent System Applications to Power Systemspor
person.familyNameCanizes
person.familyNameSoares
person.familyNameVale
person.givenNameBruno
person.givenNameJoão
person.givenNameZita
person.identifier1043580
person.identifier632184
person.identifier.ciencia-idA411-F561-E922
person.identifier.ciencia-id1612-8EA8-D0E8
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0002-9808-5537
person.identifier.orcid0000-0002-4172-4502
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridI-3492-2017
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id35408699300
person.identifier.scopus-author-id35436109600
person.identifier.scopus-author-id7004115775
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication7ea215ea-79d5-42be-a870-a0c8b23cf556
relation.isAuthorOfPublication9ece308b-6d79-4cec-af91-f2278dcc47eb
relation.isAuthorOfPublicationff1df02d-0c0f-4db1-bf7d-78863a99420b
relation.isAuthorOfPublication.latestForDiscoveryff1df02d-0c0f-4db1-bf7d-78863a99420b

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