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Technical and economic resources management in smart grids using heuristic optimization methods

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dc.contributor.authorVale, Zita
dc.contributor.authorMorais, H.
dc.contributor.authorKhodr, H. M.
dc.contributor.authorCanizes, Bruno
dc.contributor.authorSoares, João
dc.date.accessioned2013-05-02T11:44:35Z
dc.date.available2013-05-02T11:44:35Z
dc.date.issued2010
dc.date.updated2013-04-15T15:26:32Z
dc.description.abstractIntensive use of Distributed Generation (DG) represents a change in the paradigm of power systems operation making small-scale energy generation and storage decision making relevant for the whole system. This paradigm led to the concept of smart grid for which an efficient management, both in technical and economic terms, should be assured. This paper presents a new approach to solve the economic dispatch in smart grids. The proposed methodology for resource management involves two stages. The first one considers fuzzy set theory to define the natural resources range forecast as well as the load forecast. The second stage uses heuristic optimization to determine the economic dispatch considering the generation forecast, storage management and demand responsepor
dc.identifierDOI 10.1109/PES.2010.5589704
dc.identifier.isbn978-1-4244-6549-1
dc.identifier.urihttp://hdl.handle.net/10400.22/1495
dc.language.isoengpor
dc.publisherIEEEpor
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5589704por
dc.subjectDistributed generationpor
dc.subjectGenetic algorithmspor
dc.subjectParticle swarm optimizationpor
dc.subjectSmart gridspor
dc.titleTechnical and economic resources management in smart grids using heuristic optimization methodspor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceMinneapolis, MN, 2010por
oaire.citation.titleIEEE PES General Meetingpor
person.familyNameVale
person.familyNameCanizes
person.familyNameSoares
person.givenNameZita
person.givenNameBruno
person.givenNameJoão
person.identifier632184
person.identifier1043580
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.ciencia-idA411-F561-E922
person.identifier.ciencia-id1612-8EA8-D0E8
person.identifier.orcid0000-0002-4560-9544
person.identifier.orcid0000-0002-9808-5537
person.identifier.orcid0000-0002-4172-4502
person.identifier.ridA-5824-2012
person.identifier.ridI-3492-2017
person.identifier.scopus-author-id7004115775
person.identifier.scopus-author-id35408699300
person.identifier.scopus-author-id35436109600
rcaap.rightsclosedAccesspor
rcaap.typeconferenceObjectpor
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relation.isAuthorOfPublication7ea215ea-79d5-42be-a870-a0c8b23cf556
relation.isAuthorOfPublication9ece308b-6d79-4cec-af91-f2278dcc47eb
relation.isAuthorOfPublication.latestForDiscoveryff1df02d-0c0f-4db1-bf7d-78863a99420b

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