17th International IEEE Conference on Intelligent Transportation Systems (ITSC) 2014
DOI: 10.1109/itsc.2014.6958067
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Modeling and simulation of DC rail traction systems for energy saving

Abstract: The modeling and simulation of the electrified transit system is an essential element in the design process of a new railway, or an existing one being modernized, particularly in DC powered railway systems which have significant losses in the power network. With the continuing focus on environmental concerns and rising energy prices, energy-saving operation technology for railway systems has been paid more and more attention. Previous work on energy optimization techniques mainly focuses on optimizing driving … Show more

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Cited by 20 publications
(18 citation statements)
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“…Methods of mathematical modeling make it possible to overcome these drawbacks. Modeling methods can be implemented by using structural linearized models [10], models applying equations of state variables [11], or by employing the nonlinear energy units, as, for example, units from the library SimPowerSystems in the programming environment Matlab/Simulink [12].…”
Section: Literature Review and Problem Statementmentioning
confidence: 99%
“…Methods of mathematical modeling make it possible to overcome these drawbacks. Modeling methods can be implemented by using structural linearized models [10], models applying equations of state variables [11], or by employing the nonlinear energy units, as, for example, units from the library SimPowerSystems in the programming environment Matlab/Simulink [12].…”
Section: Literature Review and Problem Statementmentioning
confidence: 99%
“…Now there is a great number of methods of diminishment of losses of electric power in the contact network [2], [3]. In the present paper the diminishment of losses of electric power and increase of power efficiency of the systems of electric supply will be attained due to introduction of new dynamic models describing the behavior of current and voltage in these networks.…”
Section: Introductionmentioning
confidence: 98%
“…At present, an approach based on the analysis of signals produced by the system is widely used to study the properties of complex systems, including experimental studies. This is very important in cases when it is practically impossible to describe the pro-cess under study mathematically, but we have at our disposal certain observable quantities, which allow to build a wanted model [3].…”
Section: Introductionmentioning
confidence: 99%
“…Steady-state simulations do not depend on specific software environment, and no control loops are required in the model. Moreover, the time step of steadystate simulations is relatively long, typically Ts = 1 s [38][39][40]. Steady-state simulations provide a global overview of the system during a whole day with short computational time [20].…”
Section: Introductionmentioning
confidence: 99%