Optimal Siting and Sizing of Wayside Energy Storage Systems in a D.C. Railway Line

Regina Lamedica, Alessandro Ruvio, Laura Palagi and Nicola Mortelliti
Additional contact information
Regina Lamedica: Department of Astronautics, Electrical and Energetic Engineering, Sapienza University of Rome, 00184 Rome, Italy
Alessandro Ruvio: Department of Astronautics, Electrical and Energetic Engineering, Sapienza University of Rome, 00184 Rome, Italy
Nicola Mortelliti: Department of Astronautics, Electrical and Energetic Engineering, Sapienza University of Rome, 00184 Rome, Italy

Energies, 2020, vol. 13, issue 23, 1-22

Abstract: The paper proposes an optimal siting and sizing methodology to design an energy storage system (ESS) for railway lines. The scope is to maximize the economic benefits. The problem of the optimal siting and sizing of an ESS is addressed and solved by a software developed by the authors using the particle swarm algorithm, whose objective function is based on the net present value (NPV). The railway line, using a standard working day timetable, has been simulated in order to estimate the power flow between the trains finding the siting and sizing of electrical substations and storage systems suitable for the railway network. Numerical simulations have been performed to test the methodology by assuming a new-generation of high-performance trains on a 3 kV direct current (d.c.) railway line. The solution found represents the best choice from an economic point of view and which allows less energy to be taken from the primary network.

Keywords: optimization; energy storage system (ESS); siting; sizing; regenerative braking; particle swarm optimization (PSO) algorithm; net present value (NPV); railway network (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: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
https://www.mdpi.com/1996-1073/13/23/6271/pdf (application/pdf)
https://www.mdpi.com/1996-1073/13/23/6271/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:13:y:2020:i:23:p:6271-:d:452586

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().