Optimal Microgrid Topology Design and Siting of Distributed Generation Sources Using a Multi-Objective Substrate Layer Coral Reefs Optimization Algorithm

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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.contributor.institutionIA
dc.date.issued2018
dc.descriptionPublisher Copyright: © 2018 by the authors.
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.statusPeer reviewed
dc.format.extent1
dc.format.extent556733
dc.identifier.citationJiménez-Fernández , S , Camacho-Gómez , C , Mallol-Poyato , R , Fernández , J , Del Ser , J , Portilla-Figueras , A & Salcedo-Sanz , S 2018 , ' Optimal Microgrid Topology Design and Siting of Distributed Generation Sources Using a Multi-Objective Substrate Layer Coral Reefs Optimization Algorithm ' , Sustainability , vol. 11 , no. 1 , 169 , pp. 169 . https://doi.org/10.3390/su11010169
dc.identifier.doi10.3390/su11010169
dc.identifier.issn2692-2924
dc.identifier.otherresearchoutputwizard: 11556/684
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85059352377&partnerID=8YFLogxK
dc.language.isoeng
dc.relation.ispartofSustainability
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subject.keywordsMicrogrids
dc.subject.keywordsNetwork topology
dc.subject.keywordsDistributed renewable generation
dc.subject.keywordsMulti-objective Substrate Layers Coral Reefs Optimization algorithm (Mo-SL-CRO)
dc.subject.keywordsMicrogrids
dc.subject.keywordsNetwork topology
dc.subject.keywordsDistributed renewable generation
dc.subject.keywordsMulti-objective Substrate Layers Coral Reefs Optimization algorithm (Mo-SL-CRO)
dc.subject.keywordsGeography, Planning and Development
dc.subject.keywordsRenewable Energy, Sustainability and the Environment
dc.subject.keywordsEnvironmental Science (miscellaneous)
dc.subject.keywordsEnergy Engineering and Power Technology
dc.subject.keywordsManagement, Monitoring, Policy and Law
dc.subject.keywordsSDG 7 - Affordable and Clean Energy
dc.subject.keywordsFunding Info
dc.subject.keywordsThis research was partially funded by Ministerio de Economía, Industria y Competitividad, project_x000D_ number TIN2017-85887-C2-1-P and TIN2017-85887-C2-2-P, and by the Comunidad Autónoma de Madrid, project_x000D_ number S2013ICE-2933_02.
dc.subject.keywordsThis research was partially funded by Ministerio de Economía, Industria y Competitividad, project_x000D_ number TIN2017-85887-C2-1-P and TIN2017-85887-C2-2-P, and by the Comunidad Autónoma de Madrid, project_x000D_ number S2013ICE-2933_02.
dc.titleOptimal Microgrid Topology Design and Siting of Distributed Generation Sources Using a Multi-Objective Substrate Layer Coral Reefs Optimization Algorithmen
dc.typejournal article
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