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dc.contributor.authorPolanco Vasquez, Luis Orlando
dc.contributor.authorCarreño Meneses, Cristian Andrés
dc.contributor.authorPizano Martínez, Alejandro
dc.contributor.authorLópez Redondo, Juana
dc.contributor.authorPérez García, Manuel
dc.contributor.authorÁlvarez Hervás, José Domingo
dc.date.accessioned2020-01-16T10:50:29Z
dc.date.available2020-01-16T10:50:29Z
dc.date.issued2018-08-19
dc.identifier.issn1996-1073
dc.identifier.urihttp://hdl.handle.net/10835/7364
dc.description.abstractIn this work, we focus on optimal energy management within the context of the tertiary control of a microgrid operating in grid-connected mode. Specifically, the optimal energy management problem is solved in a unified way by using the optimal power flow (OPF) and day-ahead concepts. The elements considered in the microgrid are a photovoltaic panel, a wind turbine, electric vehicles, a storage system, and a point of common coupling with the main grid. The aim of this paper consists of optimizing the economic energy dispatch within the microgrid considering known predictions of electricity demand, solar radiation, and wind speed for a given period of time. The OPF is solved using three different algorithms provided by the optimization toolbox of MATLAB® (R2015a, MathWorks®, Natick, MA, USA): the interior point method (IP), a hybrid genetic algorithm with interior point (GA-IP), and a hybrid direct search with interior point (patternsearch-IP). The efficiency and effectiveness of the algorithms to optimize the energy dispatch within the microgrid are verified and analyzed through a case study, where real climatological data of solar irradiance, wind speed in Almería city, photovoltaic system data, and room load from a bioclimatic building were considered.es_ES
dc.language.isoenes_ES
dc.publisherMDPIes_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectmicrogrides_ES
dc.subjectoptimal power flowes_ES
dc.subjectdistributed power systemes_ES
dc.subjectenergy managementes_ES
dc.titleOptimal Energy Management within a Microgrid: A Comparative Studyes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttps://www.mdpi.com/1996-1073/11/8/2167es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internacional