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dc.contributor.authorJiménez-Fernández, Silvia
dc.contributor.authorCamacho-Gómez, Carlos
dc.contributor.authorMallol-Poyato, Ricardo
dc.contributor.authorFernández, Juan Carlos
dc.contributor.authorSer, Javier del
dc.contributor.authorPortilla-Figueras, Antonio
dc.contributor.authorSalcedo Sanz, S.
dc.date.accessioned2019-03-11T09:06:30Z
dc.date.available2019-03-11T09:06:30Z
dc.date.issued2019
dc.identifier.urihttp://hdl.handle.net/10396/18093
dc.description.abstractIn this work, a problem of optimal placement of renewable generation and topology design for a Microgrid (MG) is tackled. The problem consists of determining the MG nodes where renewable energy generators must be optimally located and also the optimization of the MG topology design, i.e., deciding which nodes should be connected and deciding the lines’ optimal cross-sectional areas (CSA). For this purpose, a multi-objective optimization with two conflicting objectives has been used, utilizing the cost of the lines, C, higher as the lines’ CSA increases, and the MG energy losses, E, lower as the lines’ CSA increases. To characterize generators and loads connected to the nodes, on-site monitored annual energy generation and consumption profiles have been considered. Optimization has been carried out by using a novel multi-objective algorithm, the Multi-objective Substrate Layers Coral Reefs Optimization algorithm (Mo-SL-CRO). The performance of the proposed approach has been tested in a realistic simulation of a MG with 12 nodes, considering photovoltaic generators and micro-wind turbines as renewable energy generators, as well as the consumption loads from different commercial and industrial sites. We show that the proposed Mo-SL-CRO is able to solve the problem providing good solutions, better than other well-known multi-objective optimization techniques, such as NSGA-II or multi-objective Harmony Search algorithm.es_ES
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0/es_ES
dc.sourceSustainability 11(1), 169 (2019)es_ES
dc.subjectMicrogridses_ES
dc.subjectNetwork topologyes_ES
dc.subjectDistributed renewable generationes_ES
dc.subjectMulti-objective Substrate Layers Coral Reefs Optimization algorithm (Mo-SL-CRO)es_ES
dc.titleOptimal Microgrid Topology Design and Siting of Distributed Generation Sources Using a Multi-Objective Substrate Layer Coral Reefs Optimization Algorithmes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttp://dx.doi.org/10.3390/su11010169es_ES
dc.relation.projectIDGobierno de España. TIN2017-85887-C2-1-Pes_ES
dc.relation.projectIDGobierno de España. TIN2017-85887-C2-2-Pes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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