A Software Validation for DC Electrified Transportation System: A Tram Line of Rome

Lamedica, R.; Gatta, Fabio Massimo; Geri, A.; Sangiovanni, S.; Ruvio, Alessandro

doi:10.1109/eeeic.2018.8494567

Cited by 10 publications

(4 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The software requires as input the data related to the power profiles of trains, the electrical substation features and the resistance of contact line equivalent section and rails. As output, the software provides the line voltage profile and currents flowing in the substation feeders, as well as the power provided by each electrical substation [61,62].…”

Section: Electrical Model Of the Traction Systemmentioning

confidence: 99%

A Preliminary Techno-Economic Comparison between DC Electrification and Trains with On-Board Energy Storage Systems

et al. 2020

Self Cite

View full text Add to dashboard Cite

The paper presents a preliminary technical-economic comparison between a 3 kV DC railway and the use of trains with on-board storage systems. Numerical simulations have been carried out on a real railway line, which presents an electrified section at 3 kV DC and a non-electrified section, currently covered by diesel-powered trains. Different types of ESS have been analyzed, implementing the models in Matlab/Simulink environment. A preparatory economic investigation has been carried out.

show abstract

Section: Electrical Model Of the Traction Systemmentioning

confidence: 99%

A Preliminary Techno-Economic Comparison between DC Electrification and Trains with On-Board Energy Storage Systems

et al. 2020

Self Cite

View full text Add to dashboard Cite

show abstract

“…Train performance is calculated in an Excel™ (Excel 2019 (v16.0), Microsoft Corporation, Redmond, WA, USA) environment [37][38][39]; the software follows the basic laws of motion. It requires:…”

Section: The Train Performance Simulationmentioning

confidence: 99%

“…where L max is the track length, V LINE min and V LINE max are the minimum and maximum allowable line voltage values, I ESS , V ESS and SoC ESS are the current, voltage, and SoC of to the ESS, respectively calculated using the software described in Section 2.2 [37][38][39]; each of them is limited to its minimum and maximum value.…”

Section: Problem Formulationmentioning

confidence: 99%

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

et al. 2020

Self Cite

View full text Add to dashboard Cite

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.

show abstract

“…The research in [6][7][8][9][10] delineated a simulation tool written in Fortran aimed at correctly representing urban railway lines. This tool, named Train-sim, has been developed in the past century and validated for electrified subway [7] and tram [8] lines through in-field experimental tests. In [9,10], the Fortran language-based version was compared with Modelica-based and Simulink-based simulators for tramway systems.…”

Section: Introductionmentioning

confidence: 99%

Novel Multi-Vehicle Motion-Based Model of Trolleybus Grids towards Smarter Urban Mobility

et al. 2022

View full text Add to dashboard Cite

Trolleybus systems are resurfacing as a steppingstone to carbon-neutral urban transport. With an eye on smart city evolution, the study and simulation of a proper monitoring system for trolleybus infrastructures will be essential. This paper merges the authors’ engineering knowledge and sources available in the literature on designing and modeling catenary-based electric traction networks and performs a critical review of them to lay the foundations for proposing possible optimal alternatives. A novel multi-vehicle motion-based model of the DC catenary system is then devised and simulated in Matlab-Simulink, which could prove useful in predicting possible technical obstacles arising from the next-future introduction of smart electric traction grids, inevitably featuring greater morphological intricacy. The modularity property characterizing the created model allows an accurate, detailed, and flexible simulation of sophisticated catenary systems. By means of graphical and numerical results illustrating the behavior of the main electrical line parameters, the presented approach demonstrates today’s obsolescence of conventional design methods used so far. The trolleybus network of the city of Bologna was chosen as a case study.

show abstract

A Software Validation for DC Electrified Transportation System: A Tram Line of Rome

Cited by 10 publications

References 17 publications

A Preliminary Techno-Economic Comparison between DC Electrification and Trains with On-Board Energy Storage Systems

A Preliminary Techno-Economic Comparison between DC Electrification and Trains with On-Board Energy Storage Systems

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

Novel Multi-Vehicle Motion-Based Model of Trolleybus Grids towards Smarter Urban Mobility

Contact Info

Product

Resources

About