RT Journal Article
T1 Optimal design of Microgrid’s network topology and location of the distributed renewable energy resources using the Harmony Search algorithm
A1 Camacho-Gómez, C.
A1 Jiménez-Fernández, S.
A1 Mallol-Poyato, R.
A1 Del Ser, Javier
A1 Salcedo-Sanz, S.
AB In this paper, we tackle the joint optimization of the network topology and the optimal location of distributed renewable energy resources in a Microgrid (MG). The MG network topology optimization problem is focused on obtaining network deployments with minimal cost, whereas the location of distributed renewable generation is associated with the minimization of the electricity losses in the MG lines. In order to solve this joint optimization problem, we analyze the efficiency of the Harmony Search (HS), a novel meta-heuristic solver inspired by the music improvisation procedure observed in jazz bands. We consider two different approaches, the first one is a single-objective formulation of the problem, where the classical HS is applied with some adaptations. The second approach is to consider a multi-objective version of the HS algorithm, able to evolve a whole family of solutions in a Pareto front. Both approaches have been tested on two small-sized MGs: an 8 node MG and a 12 node MG, and results have been compared to an 8 node and a 12 node baseline scenario, respectively, obtaining improvements of up to 42%.
SN 1432-7643
YR 2019
FD 2019-08-01
LK https://hdl.handle.net/11556/3354
UL https://hdl.handle.net/11556/3354
LA eng
NO Camacho-Gómez , C , Jiménez-Fernández , S , Mallol-Poyato , R , Del Ser , J & Salcedo-Sanz , S 2019 , ' Optimal design of Microgrid’s network topology and location of the distributed renewable energy resources using the Harmony Search algorithm ' , Soft Computing , vol. 23 , no. 15 , pp. 6495-6510 . https://doi.org/10.1007/s00500-018-3300-0
NO Publisher Copyright: © 2018, Springer-Verlag GmbH Germany, part of Springer Nature.
NO This work has been partially supported by the project TIN2014-54583-C2-2-R of the Spanish Ministerial Commission of Science and Technology (MICYT), by the Comunidad Autónoma de Madrid, under project number S2013ICE-2933_02, and by the Basque Government, under ELKARTEK program (BID3ABI project). This study was partially funded by the Spanish Ministerial Commission of Science and Technology (MICYT project number TIN2014-54583-C2-2-R), by the Comunidad Autónoma de Madrid (project number S2013ICE-2933_02), and by the Basque Government (BID3ABI project). Acknowledgements
DS TECNALIA Publications
RD 28 jul 2024