EconPapers    
Economics at your fingertips  
 

Modeling, Simulationand Analysis of On-Board Hybrid Energy Storage Systems for Railway Applications

Pablo Arboleya, Islam El-Sayed, Bassam Mohamed and Clement Mayet
Additional contact information
Pablo Arboleya: LEMUR Research Group, Department of Electrical Engineering, University of Oviedo, Campus of Gijón, 33204 Gijón, Spain
Islam El-Sayed: LEMUR Research Group, Department of Electrical Engineering, University of Oviedo, Campus of Gijón, 33204 Gijón, Spain
Bassam Mohamed: LEMUR Research Group, Department of Electrical Engineering, University of Oviedo, Campus of Gijón, 33204 Gijón, Spain
Clement Mayet: SATIE—UMR CNRS 8020, Conservatoire National des Arts et Métiers, HESAM University, F-75003 Paris, France

Energies, 2019, vol. 12, issue 11, 1-21

Abstract: In this paper, a decoupled model of a train including an on-board hybrid accumulation system is presented to be used in DC traction networks. The train and the accumulation system behavior are modeled separately, and the results are then combined in order to study the effect of the whole system on the traction electrical network. The model is designed specifically to be used with power flow solvers for planning purposes. The validation has been carried out comparing the results with other methods previously developed and also with experimental measurements. A detailed description of the power flow solver is beyond the scope of this work, but it must be remarked that the model must by used with a solver able to cope with the non-linear and non-smooth characteristics of the model. In this specific case, a modified current injection-based power flow solver has been used. The solver is able to incorporate also non-reversible substations, which are the most common devices used currently for feeding DC systems. The effect of the on-board accumulation systems on the network efficiency will be analyzed using different real scenarios.

Keywords: rail transportation power systems; DC power systems; load flow analysis; power systems modeling; load modeling (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: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
https://www.mdpi.com/1996-1073/12/11/2199/pdf (application/pdf)
https://www.mdpi.com/1996-1073/12/11/2199/ (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:12:y:2019:i:11:p:2199-:d:238475

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 ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jeners:v:12:y:2019:i:11:p:2199-:d:238475