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Increase of the Delivered Power Probability in Distribution Networks using Pareto DC Programming

2013-07Conference object Restricted access
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dc.contributor.authorCanizes, Bruno
dc.contributor.authorSoares, João
dc.contributor.authorVale, Zita
dc.contributor.authorLobo, Cristina
dc.date.accessioned2015-05-05T10:32:20Z
dc.date.available2015-05-05T10:32:20Z
dc.date.issued2013-07
dc.description.abstractA methodology to increase the probability of delivering power to any load point through the identification of new investments in distribution network components is proposed in this paper. The method minimizes the investment cost as well as the cost of energy not supplied in the network. A DC optimization model based on mixed integer non-linear programming is developed considering the Pareto front technique in order to identify the adequate investments in distribution networks components which allow increasing the probability of delivering power for any customer in the distribution system at the minimum possible cost for the system operator, while minimizing the energy not supplied cost. Thus, a multi-objective problem is formulated. To illustrate the application of the proposed methodology, the paper includes a case study which considers a 180 bus distribution networkpor
dc.identifier.doi10.1109/PESMG.2013.6672687
dc.identifier.urihttp://hdl.handle.net/10400.22/5911
dc.language.isoengpor
dc.publisherIEEEpor
dc.relation.ispartofseriesPES;2013
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6672687&queryText%3DIncrease+of+the+Delivered+Power+Probability+in+Distribution+Networks+using+Pareto+DC+Programmingpor
dc.subjectDistribution networkpor
dc.subjectOptimizationpor
dc.subjectPareto frontpor
dc.subjectReliabilitypor
dc.titleIncrease of the Delivered Power Probability in Distribution Networks using Pareto DC Programmingpor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceGrenoble, Françapor
oaire.citation.endPage5por
oaire.citation.startPage1por
oaire.citation.title2013 IEEE PES GMpor
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.rightsclosedAccesspor
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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