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dc.contributor.authorChatzivasileiadis, Spyroses-ES
dc.contributor.authorBonvini, Marcoes-ES
dc.contributor.authorMatanza Domingo, Javieres-ES
dc.contributor.authorYin, Rongxines-ES
dc.contributor.authorNouidui, Thierryes-ES
dc.contributor.authorKara, Emre C.es-ES
dc.contributor.authorParmar, Rajives-ES
dc.contributor.authorLorenzetti, Davides-ES
dc.contributor.authorWetter, Michaeles-ES
dc.contributor.authorKiliccote, Silaes-ES
dc.date.accessioned2016-05-23T03:06:03Z
dc.date.available2016-05-23T03:06:03Z
dc.date.issued2016-04-01es_ES
dc.identifier.issn0018-9219es_ES
dc.identifier.urihttps:doi.org10.1109JPROC.2016.2520738es_ES
dc.descriptionArtículos en revistases_ES
dc.description.abstractes-ES
dc.description.abstractCosimulation platforms are necessary to study the interactions of complex systems integrated in future smart grids. The Virtual Grid Integration Laboratory (VirGIL) is a modular cosimulation platform designed to study interactions between demand-response (DR) strategies, building comfort, communication networks, and power system operation. This paper presents the coupling of power systems, buildings, communications, and control under a master algorithm. There are two objectives: first, to use a modular architecture for VirGIL, based on the functional mockup interface (FMI), where several different modules can be added, exchanged, and tested; and second, to use a commercial power system simulation platform, familiar to power system operators, such as DIgSILENT PowerFactory. This will help reduce the barriers to the industry for adopting such platforms, investigate and subsequently deploy DR strategies in their daily operation. VirGIL further introduces the integration of the quantized state system (QSS) methods for simulation in this cosimulation platform. Results on how these systems interact using a real network and consumption data are also presented.en-GB
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoen-GBes_ES
dc.rightses_ES
dc.rights.uries_ES
dc.sourceRevista: Proceedings of the IEEE, Periodo: 1, Volumen: online, Número: 4, Página inicial: 789, Página final: 806es_ES
dc.subject.otherInstituto de Investigación Tecnológica (IIT)es_ES
dc.titleCyber-physical modeling of distributed resources for distribution system operationses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.description.versioninfo:eu-repo/semantics/publishedVersiones_ES
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccesses_ES
dc.keywordses-ES
dc.keywordsCosimulation; demand response (DR); DigSILENTPowerFactory; functional mockup interface (FMI); load flow; modelica; OMNeT%2B%2Ben-GB


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