Jiménez-Fernández, SilviaCamacho-Gómez, CarlosMallol-Poyato, RicardoFernández, JuanDel Ser, JavierPortilla-Figueras, AntonioSalcedo-Sanz, Sancho2018Jiménez-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/su110101692692-2924researchoutputwizard: 11556/684Publisher Copyright: © 2018 by the authors.n 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.1556733enginfo:eu-repo/semantics/openAccessjournal article10.3390/su11010169MicrogridsNetwork topologyDistributed renewable generationMulti-objective Substrate Layers Coral Reefs Optimization algorithm (Mo-SL-CRO)MicrogridsNetwork topologyDistributed renewable generationMulti-objective Substrate Layers Coral Reefs Optimization algorithm (Mo-SL-CRO)Geography, Planning and DevelopmentRenewable Energy, Sustainability and the EnvironmentEnvironmental Science (miscellaneous)Energy Engineering and Power TechnologyManagement, Monitoring, Policy and LawSDG 7 - Affordable and Clean EnergyFunding InfoThis 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.This 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.http://www.scopus.com/inward/record.url?scp=85059352377&partnerID=8YFLogxK