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Improving the traffic model to be used in the optimisation of mass transit system electrical infrastructure

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IIT-17-133A.pdf (4.913Mb)
Fecha
2017-08-01
Autor
López López, Álvaro Jesús
Rodríguez Pecharromán, Ramón
Fernández Cardador, Antonio
Cucala García, María Asunción
Estado
info:eu-repo/semantics/publishedVersion
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Resumen
 
 
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.
 
URI
https:doi.org10.3390en10081134
Improving the traffic model to be used in the optimisation of mass transit system electrical infrastructure
Tipo de Actividad
Artículos en revistas
ISSN
1996-1073
Materias/ categorías / ODS
Instituto de Investigación Tecnológica (IIT)
Palabras Clave

stochastic traffic model; mass transit systems; electrical infrastructure; reversible substations; energy saving; energy efficiency
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