Fast calculation of the dimensioning factors of the railway power supply system
2007 (English)In: Computational Methods and Experimental Measurements XIII, WIT Press, 2007, Vol. 46, 85-95 p.Conference paper (Refereed)
Because of environmental and economical reasons, in Sweden and the rest of Europe, both personal and goods transports on railway are increasing. Therefore great railway infrastructure investments are expected to come. An important part of this infrastructure is the railway power supply system. Exactly how much, when and where the traffic will increase is not known for sure. This means investment planning for an uncertain future. The more uncertain parameters, such as traffic density and weight of trains, and the further future considered, the greater the inevitable amount of cases that have to be considered. When doing simulations concerning a tremendous amount of cases, each part of the simulation model has to be computationally fast - in real life this means approximations. The two most important issues to estimate given a certain power system configuration, when planning for an electric traction system, are the energy consumption of the and and the train delays that a too weak system would cause. In this paper, some modeling suggestions of the energy consumption and the maximal train velocities are presented. Two linear, and one nonlinear model are presented and compared. The comparisons regard both computer speed and representability. The independent variables of these models are a selection of parameters describing the power system, i.e.: power system technology used on each section, and traffic intensity.
Place, publisher, year, edition, pages
WIT Press, 2007. Vol. 46, 85-95 p.
, WIT transactions on modelling and simulation, ISSN 1746-4064
railway, traction system, power supply, energy consumption
Other Electrical Engineering, Electronic Engineering, Information Engineering
IdentifiersURN: urn:nbn:se:kth:diva-36849DOI: 10.2495/CMEM070091ISI: 000248244200009ScopusID: 2-s2.0-38849115802ISBN: 978-1-84564-084-2OAI: oai:DiVA.org:kth-36849DiVA: diva2:431222
13th International Conference on Computational Methods and Experimental Measurements
QC 201107182012-01-172011-07-152012-08-16Bibliographically approved