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dc.contributor.authorMazzola, Simonees-ES
dc.contributor.authorVergara Ramírez, Claudio Ricardoes-ES
dc.contributor.authorAstolfi, Marcoes-ES
dc.contributor.authorLi, Vivianes-ES
dc.contributor.authorPérez Arriaga, José Ignacioes-ES
dc.contributor.authorMacchi, Ennioes-ES
dc.date.accessioned2017-03-01T04:06:41Z
dc.date.available2017-03-01T04:06:41Z
dc.date.issued2017-08-01es_ES
dc.identifier.issn0960-1481es_ES
dc.identifier.urihttps:doi.org10.1016j.renene.2017.02.040es_ES
dc.descriptionArtículos en revistases_ES
dc.description.abstractes-ES
dc.description.abstractHybrid microgrids are expected to play an important role in the expansion of access to electricity in developing countries. While most of these systems are operated with dispatch strategies which do not make use of predictions about the load or about the availability of renewable energy resources, forecast-based strategies have recently gained attention as an alternative to bring down operation costs. In this work, we develop a framework to assess this potential under a range of assumptions about the quality of load and photovoltaic generation forecasts. The application of the methodology to a village of 600 households reveals cost savings ranging between 2 and 7 depending on the forecast quality and the composition of the microgrid. We also show that sizing microgrid components under the assumption of a predictive operation strategy results in a design with a higher share of intermittent generation.en-GB
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoen-GBes_ES
dc.rightses_ES
dc.rights.uries_ES
dc.sourceRevista: Renewable Energy, Periodo: 1, Volumen: online, Número: , Página inicial: 116, Página final: 125es_ES
dc.subject.otherInstituto de Investigación Tecnológica (IIT)es_ES
dc.titleAssessing the value of forecast-based dispatch in the operation of off-grid rural microgridses_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.keywordsMicrogrid; Rural electrification; Predictive dispatch; Forecasting; Energy management systemen-GB


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