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Distribution network short term scheduling in Smart Grid context

dc.contributor.authorSilva, Marco
dc.contributor.authorMorais, H.
dc.contributor.authorVale, Zita
dc.date.accessioned2013-04-17T09:34:17Z
dc.date.available2013-04-17T09:34:17Z
dc.date.issued2011
dc.date.updated2013-04-12T16:39:36Z
dc.description.abstractThe large increase of Distributed Generation (DG) in Power Systems (PS) and specially in distribution networks makes the management of distribution generation resources an increasingly important issue. Beyond DG, other resources such as storage systems and demand response must be managed in order to obtain more efficient and “green” operation of PS. More players, such as aggregators or Virtual Power Players (VPP), that operate these kinds of resources will be appearing. This paper proposes a new methodology to solve the distribution network short term scheduling problem in the Smart Grid context. This methodology is based on a Genetic Algorithms (GA) approach for energy resource scheduling optimization and on PSCAD software to obtain realistic results for power system simulation. The paper includes a case study with 99 distributed generators, 208 loads and 27 storage units. The GA results for the determination of the economic dispatch considering the generation forecast, storage management and load curtailment in each period (one hour) are compared with the ones obtained with a Mixed Integer Non-Linear Programming (MINLP) approach.por
dc.identifier.doi10.1109/PES.2011.6038900
dc.identifier.isbn978-1-4577-1000-1
dc.identifier.issn1944-9925
dc.identifier.urihttp://hdl.handle.net/10400.22/1366
dc.language.isoengpor
dc.publisherIEEEpor
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6038900por
dc.subjectEnergy resources schedulingpor
dc.subjectGenetic algorithmpor
dc.subjectMixed integer non-linear programmingpor
dc.titleDistribution network short term scheduling in Smart Grid contextpor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceDetroit, MI, USA, 2011por
oaire.citation.titlePower and Energy Society General Meeting, 2011 IEEEpor
person.familyNameVale
person.givenNameZita
person.identifier632184
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id7004115775
rcaap.rightsclosedAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublicationff1df02d-0c0f-4db1-bf7d-78863a99420b
relation.isAuthorOfPublication.latestForDiscoveryff1df02d-0c0f-4db1-bf7d-78863a99420b

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