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dc.contributor.authorJiménez-Fernández, Silvia
dc.contributor.authorCamacho-Gómez, Carlos
dc.contributor.authorMallol-Poyato, Ricardo
dc.contributor.authorFernández, Juan
dc.contributor.authorDel Ser, Javier
dc.contributor.authorPortilla-Figueras, Antonio
dc.contributor.authorSalcedo-Sanz, Sancho
dc.date.accessioned2019-02-07T13:33:22Z
dc.date.available2019-02-07T13:33:22Z
dc.date.issued2018
dc.identifier.citationJiménez-Fernández, Silvia, Carlos Camacho-Gómez, Ricardo Mallol-Poyato, Juan Fernández, Javier Del Ser, Antonio Portilla-Figueras, and Sancho Salcedo-Sanz. “Optimal Microgrid Topology Design and Siting of Distributed Generation Sources Using a Multi-Objective Substrate Layer Coral Reefs Optimization Algorithm.” Sustainability 11, no. 1 (December 30, 2018): 169. doi:10.3390/su11010169.en
dc.identifier.issn2071-1050en
dc.identifier.urihttp://hdl.handle.net/11556/684
dc.description.abstractn 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.en
dc.description.sponsorshipThis research was partially funded by Ministerio de Economía, Industria y Competitividad, project number TIN2017-85887-C2-1-P and TIN2017-85887-C2-2-P, and by the Comunidad Autónoma de Madrid, project number S2013ICE-2933_02.en
dc.language.isoengen
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleOptimal Microgrid Topology Design and Siting of Distributed Generation Sources Using a Multi-Objective Substrate Layer Coral Reefs Optimization Algorithmen
dc.typearticleen
dc.identifier.doi10.3390/su11010169en
dc.rights.accessRightsopenAccessen
dc.subject.keywordsMicrogridsen
dc.subject.keywordsNetwork topologyen
dc.subject.keywordsDistributed renewable generationen
dc.subject.keywordsMulti-objective Substrate Layers Coral Reefs Optimization algorithm (Mo-SL-CRO)en
dc.issue.number1en
dc.journal.titleSustainabilityen
dc.page.initial169en
dc.volume.number11en


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