Back to Search
Start Over
Comparison of dynamic models for a DC railway electrical network including an AC/DC bi-directional power station
- Source :
- Mathematics and Computers in Simulation, Mathematics and Computers in Simulation, 2021, 184, pp.244-266. ⟨10.1016/j.matcom.2020.05.027⟩
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- To face environmental issues, SNCF, the French railway, has chosen to improve the energy efficiency of its electrical power system by investigating solutions for regenerative braking. With the contribution of Railenium, a research and test center in railway activities, they aim to recover the braking energy by setting up a reversible inverter in the DC substation ”Massena”. The issue is to test, implement and compare various control solutions to increase the energy efficiency with minimum impacts on the railway operation. In this paper, a simulation model for studying a reversible power substation is addressed by considering AC and DC equivalent electrical sources. The proposed model provides a reliable tool for analyzing the behavior of the railway electrical network during specially braking mode. In order to validate this model, its simulation results are compared with the ones obtained from Esmeralda, the SNCF professional software. A first configuration is led without the inverter and gives certified Esmeralda results and validates the proposed model despite some gaps in powers and voltages due to differences in input data and models. A second comparison with inverter is presented to highlight the main difference between the proposed model and Esmeralda. In addition, laboratory experimental activities are put forward to investigate the proposed model by using power-hardware-in-the-loop simulations. Finally, a simulation test under MATLAB software with fifty train’s traffic is presented to estimate the energy saving thanks to the installed inverter. For this latter case study, the system sent back to the national AC grid around 6.9% of the total energy consumed by all trains.
- Subjects :
- Numerical Analysis
General Computer Science
Power station
Computer science
Applied Mathematics
[SPI.NRJ]Engineering Sciences [physics]/Electric power
Automotive engineering
Theoretical Computer Science
law.invention
Regenerative brake
Real-time simulation
law
Modeling and Simulation
Electrical network
Inverter
Train
Electric power
ComputingMilieux_MISCELLANEOUS
Efficient energy use
Subjects
Details
- ISSN :
- 03784754
- Volume :
- 184
- Database :
- OpenAIRE
- Journal :
- Mathematics and Computers in Simulation
- Accession number :
- edsair.doi.dedup.....e510afa443e4821257334b93e5842b40
- Full Text :
- https://doi.org/10.1016/j.matcom.2020.05.027