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dc.contributor.authorMazidi, Peymanes-ES
dc.contributor.authorSanz Bobi, Miguel Ángeles-ES
dc.date.accessioned2017-03-30T03:06:35Z
dc.date.available2017-03-30T03:06:35Z
dc.date.issued2017-07-01es_ES
dc.identifier.issn0378-7796es_ES
dc.identifier.urihttps:doi.org10.1016j.epsr.2017.03.032es_ES
dc.descriptionArtículos en revistases_ES
dc.description.abstractes-ES
dc.description.abstractThis paper addresses passive and active preventive maintenance scheduling in an islanded microgrid with storage and renewable energy sources. At first, under a centralized framework, a single-level cost-minimization formulation for passive maintenance scheduling is developed and used as a benchmark in the operation. An independent microgrid operator is responsible for the operation in this framework. Then, through a bi-level formulation, the active maintenance scheduling and operation is carried out with profit-maximization objective. These two developed frameworks provide the houses with opportunity to earn profit and the regulator and the operator to analyze the performance of the system. The bi-level formulation is transformed into a single-level problem through Karush-Kuhn-Tucker conditions. Furthermore, the proposed model provides the capability of incorporating condition monitoring data into the operation. The model is validated through a test system and the outcomes demonstrate the advantages, applicability and challenges of utilizing the proposed model.en-GB
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoen-GBes_ES
dc.rightses_ES
dc.rights.uries_ES
dc.sourceRevista: Electric Power Systems Research, Periodo: 1, Volumen: online, Número: , Página inicial: 171, Página final: 182es_ES
dc.subject.otherInstituto de Investigación Tecnológica (IIT)es_ES
dc.titleStrategic maintenance scheduling in an islanded microgrid with Distributed Energy Resourceses_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.keywordsMaintenance Scheduling, Microgrid, Energy Storage, Solar Power Generation, Wind Power Generationen-GB


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