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

Silvia Jiménez-Fernández, Carlos Camacho-Gómez, Ricardo Mallol-Poyato, Juan Carlos Fernández, Javier Del Ser, Antonio Portilla-Figueras and Sancho Salcedo-Sanz
Additional contact information
Silvia Jiménez-Fernández: Department of Signal Processing and Communications, Universidad de Alcalá, 28805 Alcalá de Henares, Madrid, Spain
Carlos Camacho-Gómez: Department of Signal Processing and Communications, Universidad de Alcalá, 28805 Alcalá de Henares, Madrid, Spain
Ricardo Mallol-Poyato: Department of Signal Processing and Communications, Universidad de Alcalá, 28805 Alcalá de Henares, Madrid, Spain
Juan Carlos Fernández: Department of Computer Science and Numerical Analysis, Universidad de Córdoba, 14701 Córdoba, Spain
Javier Del Ser: TECNALIA, 48160 Derio, Bizkaia, Spain
Antonio Portilla-Figueras: Department of Signal Processing and Communications, Universidad de Alcalá, 28805 Alcalá de Henares, Madrid, Spain
Sancho Salcedo-Sanz: Department of Signal Processing and Communications, Universidad de Alcalá, 28805 Alcalá de Henares, Madrid, Spain

Sustainability, 2018, vol. 11, issue 1, 1-21

Abstract: In 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.

Keywords: Microgrids; network topology; distributed renewable generation; Multi-objective Substrate Layers Coral Reefs Optimization algorithm (Mo-SL-CRO) (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (2)

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