Optimal Location and Sizing of Energy Storage Systems in DC-Electrified Railway Lines Using a Coral Reefs Optimization Algorithm with Substrate Layers

David Roch-Dupré, Carlos Camacho-Gómez, Asunción P. Cucala, Silvia Jiménez-Fernández, Álvaro López-López, Antonio Portilla-Figueras, Ramón R. Pecharromán, Antonio Fernández-Cardador and Sancho Salcedo-Sanz
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David Roch-Dupré: Faculty of Economics and Business Administration, Institute for Research in Technology, Comillas Pontifical University, 28049 Madrid, Spain
Carlos Camacho-Gómez: Department of Computer Systems, Universidad Politécnica de Madrid, 28031 Madrid, Spain
Asunción P. Cucala: Institute for Research in Technology, Comillas Pontifical University, 28049 Madrid, Spain
Silvia Jiménez-Fernández: Department of Signal Processing and Communications, Universidad de Alcalá, 28805 Alcalá de Henares, Spain
Álvaro López-López: Institute for Research in Technology, Comillas Pontifical University, 28049 Madrid, Spain
Antonio Portilla-Figueras: Department of Signal Processing and Communications, Universidad de Alcalá, 28805 Alcalá de Henares, Spain
Ramón R. Pecharromán: Institute for Research in Technology, Comillas Pontifical University, 28049 Madrid, Spain
Antonio Fernández-Cardador: Institute for Research in Technology, Comillas Pontifical University, 28049 Madrid, Spain
Sancho Salcedo-Sanz: Department of Signal Processing and Communications, Universidad de Alcalá, 28805 Alcalá de Henares, Spain

Energies, 2021, vol. 14, issue 16, 1-19

Abstract: 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.

Keywords: railway lines; Energy Storage Systems; multi-method ensembles; CRO-SL algorithm; meta-heuristics (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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