A Novel Coral Reefs Optimization Algorithm for Multi-objective Problems

Author(s):  
S. Salcedo-Sanz ◽  
A. Pastor-Sánchez ◽  
D. Gallo-Marazuela ◽  
A. Portilla-Figueras
2020 ◽  
Vol 55 ◽  
pp. 100688 ◽  
Author(s):  
L. Garcia-Hernandez ◽  
L. Salas-Morera ◽  
C. Carmona-Muñoz ◽  
A. Abraham ◽  
S. Salcedo-Sanz

2015 ◽  
Vol 48 (6) ◽  
pp. 966-984 ◽  
Author(s):  
S. Salcedo-Sanz ◽  
A. Pastor-Sánchez ◽  
J. A. Portilla-Figueras ◽  
L. Prieto

2018 ◽  
Vol 11 (1) ◽  
pp. 169 ◽  
Author(s):  
Silvia Jiménez-Fernández ◽  
Carlos Camacho-Gómez ◽  
Ricardo Mallol-Poyato ◽  
Juan Fernández ◽  
Javier Del Ser ◽  
...  

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.


2021 ◽  
Vol 286 ◽  
pp. 112250
Author(s):  
Mohammad Emami ◽  
Sara Nazif ◽  
Sayed-Farhad Mousavi ◽  
Hojat Karami ◽  
Andre Daccache

2016 ◽  
Vol 55 ◽  
pp. 388-402 ◽  
Author(s):  
Sancho Salcedo-Sanz ◽  
Pilar García-Díaz ◽  
Javier Del Ser ◽  
Miren Nekane Bilbao ◽  
José Antonio Portilla-Figueras

2015 ◽  
Vol 75 ◽  
pp. 93-101 ◽  
Author(s):  
S. Salcedo-Sanz ◽  
A. Pastor-Sánchez ◽  
J. Del Ser ◽  
L. Prieto ◽  
Z.W. Geem

2014 ◽  
Vol 24 ◽  
pp. 239-248 ◽  
Author(s):  
S. Salcedo-Sanz ◽  
P. García-Díaz ◽  
J.A. Portilla-Figueras ◽  
J. Del Ser ◽  
S. Gil-López

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