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An integrated approach for distributed energy resource short term scheduling in smart grids considering realistic power system simulation

dc.contributor.authorSilva, Marco
dc.contributor.authorMorais, H.
dc.contributor.authorVale, Zita
dc.date.accessioned2013-04-16T10:35:53Z
dc.date.available2013-04-16T10:35:53Z
dc.date.issued2012
dc.date.updated2013-04-12T11:00:24Z
dc.description.abstractThe large increase of distributed energy resources, including distributed generation, storage systems and demand response, especially in distribution networks, makes the management of the available resources a more complex and crucial process. With wind based generation gaining relevance, in terms of the generation mix, the fact that wind forecasting accuracy rapidly drops with the increase of the forecast anticipation time requires to undertake short-term and very short-term re-scheduling so the final implemented solution enables the lowest possible operation costs. This paper proposes a methodology for energy resource scheduling in smart grids, considering day ahead, hour ahead and five minutes ahead scheduling. The short-term scheduling, undertaken five minutes ahead, takes advantage of the high accuracy of the very-short term wind forecasting providing the user with more efficient scheduling solutions. The proposed method uses a Genetic Algorithm based approach for optimization that is able to cope with the hard execution time constraint of short-term scheduling. Realistic power system simulation, based on PSCAD , is used to validate the obtained solutions. The paper includes a case study with a 33 bus distribution network with high penetration of distributed energy resources implemented in PSCAD .por
dc.identifier.doi10.1016/j.enconman.2012.04.021pt_PT
dc.identifier.issn0196-8904
dc.identifier.urihttp://hdl.handle.net/10400.22/1343
dc.language.isoengpor
dc.publisherElsevierpor
dc.relation.ispartofseriesEnergy Conversion and Management; Vol. 64
dc.relation.publisherversionhttp://www.sciencedirect.com/science/article/pii/S0196890412002087por
dc.subjectDistributed energy resourcespor
dc.subjectGenetic algorithmpor
dc.subjectNetwork modelingpor
dc.subjectPSCADpor
dc.subjectResource schedulingpor
dc.subjectSimulationpor
dc.subjectSmart gridpor
dc.titleAn integrated approach for distributed energy resource short term scheduling in smart grids considering realistic power system simulationpor
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage288por
oaire.citation.startPage273por
oaire.citation.titleEnergy Conversion and Management
oaire.citation.volumeVol. 64
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.rightsopenAccesspor
rcaap.typearticlepor
relation.isAuthorOfPublicationff1df02d-0c0f-4db1-bf7d-78863a99420b
relation.isAuthorOfPublication.latestForDiscoveryff1df02d-0c0f-4db1-bf7d-78863a99420b

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