Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/1509
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dc.contributor.authorSilva, Marco-
dc.contributor.authorMorais, H.-
dc.contributor.authorFaria, Pedro-
dc.contributor.authorVale, Zita-
dc.identifierDOI 10.1109/PESGM.2012.6345571-
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.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
degois.publication.locationSan Diego, CA, USA, 2012por
degois.publication.titleIEEE Power and Energy Society General Meeting (PES GM 2012)por
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