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Short-term scheduling considering five-minute and hour-ahead energy resource management

dc.contributor.authorSilva, Marco
dc.contributor.authorMorais, H.
dc.contributor.authorFaria, Pedro
dc.contributor.authorVale, Zita
dc.date.accessioned2013-05-03T11:43:36Z
dc.date.available2013-05-03T11:43:36Z
dc.date.issued2012
dc.date.updated2013-04-11T14:39:39Z
dc.description.abstractThe introduction of new distributed energy resources, based on natural intermittent power sources, in power systems imposes the development of new adequate operation management and control methods. This paper proposes a short-term Energy Resource Management (ERM) methodology performed in two phases. The first one addresses the hour-ahead ERM scheduling and the second one deals with the five-minute ahead ERM scheduling. Both phases consider the day-ahead resource scheduling solution. The ERM scheduling is formulated as an optimization problem that aims to minimize the operation costs from the point of view of a virtual power player that manages the network and the existing resources. The optimization problem is solved by a deterministic mixed-integer non-linear programming approach and by a heuristic approach based on genetic algorithms. A case study considering a distribution network with 33 bus, 66 distributed generation, 32 loads with demand response contracts and 7 storage units has been implemented in a PSCADbased simulator developed in the field of the presented work, in order to validate the proposed short-term ERM methodology considering the dynamic power system behavior.por
dc.identifier.doi10.1109/PESGM.2012.6345571pt_PT
dc.identifier.isbn978-1-4673-2727-5
dc.identifier.urihttp://hdl.handle.net/10400.22/1509
dc.language.isoengpor
dc.publisherIEEEpor
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6345571por
dc.subjectGenetic algorithmspor
dc.subjectShort-term energy resource managementpor
dc.subjectSmart gridpor
dc.subjectVirtual power playerpor
dc.titleShort-term scheduling considering five-minute and hour-ahead energy resource managementpor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceSan Diego, CA, USA, 2012por
oaire.citation.titleIEEE Power and Energy Society General Meeting (PES GM 2012)por
person.familyNameFaria
person.familyNameVale
person.givenNamePedro
person.givenNameZita
person.identifier632184
person.identifier.ciencia-idB212-2309-F9C3
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0002-5982-8342
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id7004115775
rcaap.rightsclosedAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication35e6a4ab-f644-4bc5-b6fc-9fd89c23d6c6
relation.isAuthorOfPublicationff1df02d-0c0f-4db1-bf7d-78863a99420b
relation.isAuthorOfPublication.latestForDiscovery35e6a4ab-f644-4bc5-b6fc-9fd89c23d6c6

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