This paper deals with the problem of finding the optimal location and sizing of Energy Storage Systems in DC-electrified railway lines. These devices increment the use of the regenerated energy produced by the trains in the braking phases, as they store the energy to later provide to the catenary the excess of regenerated energy, that otherwise would be lost in the rheostats. However, these infrastructures require a high initial investment that, in some cases, may question their profitability. We propose a multi-method ensemble meta-heuristic to obtain the optimal solution to the problem, with a high level of accuracy. Specifically, the Coral Reefs Optimization with Substrate Layers (CRO-SL) is proposed, an evolutionary-type approach able to run different search procedures within the same population. We will evaluate the performance of the CRO-SL in the problem, and we will show that it performs better than the best known existing meta-heuristics for this problem.
Spanish layman's summary:
Este paper aplica el algoritmo CRO-SL para encontrar las ubicaciones y tamaños óptimos de los almacenadores en las líneas ferroviarias de CC. Este algoritmo junta múltiples métodos metaheurísticos y funciona mejor que los algoritmos aplicados hasta el momento para resolver este problema.
English layman's summary:
This paper applies the Coral Reefs Optimization Algorithm with Substrate Layers (CRO-SL) to find Energy Storage Systems' optimal location and sizing in DC railway lines. This multi-method ensemble meta-heuristic performs better than the best known existing meta-heuristics for this problem.
Keywords: railway lines; Energy Storage Systems; multi-method ensembles; CRO-SL algorithm; meta-heuristics
JCR Impact Factor and WoS quartile: 3.004 - Q3 (2020)
DOI reference: 10.3390/en14164753
Published on paper: August 2021.
D. Roch Dupré, C. Camacho-Gómez, A.P. Cucala, S. Jiménez-Fernández, A.J. López López, A. Portilla-Figueras, R.R. Pecharromán, A. Fernández-Cardador, S. Salcedo-Sanz. Optimal location and sizing of energy storage systems in DC-electrified railway lines using a coral reefs optimization algorithm with substrate layers. Energies. Vol. 14, nº. 16, pp. 4753-1 - 4753-19, August 2021.