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dc.contributor.authorGu, Qing
dc.contributor.authorTang, Tao
dc.contributor.authorCao, Fang
dc.contributor.authorKarimi, Hamid Reza
dc.contributor.authorSong, Yongduan
dc.date.accessioned2014-02-06T12:56:07Z
dc.date.available2014-02-06T12:56:07Z
dc.date.issued2013
dc.identifier.citationGu, Q., Tang, T., Cao, F., Karimi, H. R., & Song, Y. (2013). Peak power demand and energy consumption reduction strategies for trains under moving block signalling system. Mathematical Problems in Engineering. doi: 10.1155/2013/940936no_NO
dc.identifier.issn1024-123X
dc.identifier.urihttp://hdl.handle.net/11250/137011
dc.descriptionPublished version of an article in the journal: Mathematical Problems in Engineering. Also available from the publisher at: http://dx.doi.org/10.1155/2013/940936 Open Accessno_NO
dc.description.abstractIn the moving block signalling (MBS) system where the tracking target point of the following train is moving forward with its leading train, overload of the substations occurs when a dense queue of trains starts (or restarts) in very close distance interval. This is the peak power demand problem. Several methods have been attempted in the literature to deal with this problem through changing train's operation strategies. However, most existing approaches reduce the service quality. In this paper, two novel approaches - "Service Headway Braking" (SHB) and "Extending Stopping Distance Interval" (ESDI) - are proposed according to available and unavailable extra station dwell times, respectively. In these two methods, the restarting times of the trains are staggered and traction periods are reduced, which lead to the reduction of peak power demand and energy consumption. Energy efficient control switching points are seen as the decision parameters. Nonlinear programming method is used to model the process. Simulation results indicate that, compared with ARL, peak power demands are reduced by 40% and 20% by applying SHB and ESDI without any arrival time delay, respectively. At the same time, energy consumptions are also reduced by 77% and 50% by applying SHB and ESDI, respectively.no_NO
dc.language.isoengno_NO
dc.publisherHindawi Publishing Corporationno_NO
dc.subjectconsumption reductionsno_NO
dc.subjectdecision parametersno_NO
dc.subjectdistance intervalsno_NO
dc.subjectenergy efficientno_NO
dc.subjectnonlinear programming methodsno_NO
dc.subjectoperation strategyno_NO
dc.subjectsignalling systemsno_NO
dc.subjectstopping distanceno_NO
dc.subjectautomatic train controlno_NO
dc.subjectenergy efficiencyno_NO
dc.subjecttarget trackingno_NO
dc.subjectenergy utilizationno_NO
dc.titlePeak power demand and energy consumption reduction strategies for trains under moving block signalling systemno_NO
dc.typeJournal articleno_NO
dc.typePeer reviewedno_NO
dc.subject.nsiVDP::Mathematics and natural science: 400::Mathematics: 410no_NO
dc.source.pagenumber1-11no_NO
dc.source.volume2013no_NO
dc.source.journalMathematical Problems in Engineeringno_NO
dc.identifier.doi10.1155/2013/940936


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