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Energies 2017, 10(8), 1134; https://doi.org/10.3390/en10081134

Improving the Traffic Model to Be Used in the Optimisation of Mass Transit System Electrical Infrastructure

Institute for Research in Technology, ICAI School of Engineering, Comillas Pontifical University, 28015 Madrid, Spain
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Academic Editor: Rui Xiong
Received: 20 June 2017 / Revised: 20 July 2017 / Accepted: 28 July 2017 / Published: 2 August 2017
(This article belongs to the Section Electrical Power and Energy System)
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Abstract

Among the different approaches for minimising the energy consumption of mass transit systems (MTSs), a common concern for MTS operators is the improvement of the electrical infrastructure. The traffic on the lines under analysis is one of the most important inputs to the studies devoted to improving MTS infrastructure, since it represents where and how frequently it is possible to save energy. However, on the one hand, MTS electrical studies usually simplify the traffic model, which may lead to a misrepresentation of the energy interactions between trains. On the other hand, if the stochastic traffic is rigorously modelled, the size of the simulation problem could grow excessively, which in turn could make the time to obtain results unmanageable. To cope with this issue, this paper presents a method to obtain a reduced-size set of representative scenarios. Firstly, a traffic model including the most representative stochastic traffic variables is developed. Secondly, a function highly correlated with energy savings is proposed to make it possible to properly characterise the traffic scenarios. Finally, this function is used to select the most representative scenarios. The representative scenario set obtained by the application of this method is shown to be sufficiently accurate with a limited number of scenarios. The traffic approach in this paper improves the accuracy with respect to the usual traffic approach used in the literature. View Full-Text
Keywords: stochastic traffic model; mass transit systems; electrical infrastructure; reversible substations; energy saving; energy efficiency stochastic traffic model; mass transit systems; electrical infrastructure; reversible substations; energy saving; energy efficiency
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López-López, Á.J.; Pecharromán, R.R.; Fernández-Cardador, A.; Cucala, A.P. Improving the Traffic Model to Be Used in the Optimisation of Mass Transit System Electrical Infrastructure. Energies 2017, 10, 1134.

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