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Research On Energy-saving Operation Of Middle-Low-Speed Maglev Train

Posted on:2017-12-23Degree:MasterType:Thesis
Country:ChinaCandidate:Y J JiaoFull Text:PDF
GTID:2382330569498570Subject:Power electronics and electric drive
Abstract/Summary:PDF Full Text Request
As emerging city rail transportation,maglev,equips with its unique small running noise,strong climbing ability,owning advantages of small turning radius.Maglev train will be promising in the future city rail transit.Now,Changsha middle-low-speed maglev line was opened.Beijing S1 line is under construction.Research of middle-low-speed maglev train energy-saving is important in practical application.In this paper,researches on the middle-low-speed maglev train energy-saving operation mainly include following aspects:This paper analyzes the domestic and international research on the energy-saving operation of rail transport and summarizes of their advantages and disadvantages.Based on the model of middle-low-speed maglev train,energy losses of the train under different conditions are analyzed.Among the study of driving in straight sections,different train speed limits on time-consuming train operation energy consumption and operation are analyzed,and three conclusions on the maglev in energy saving driving straight are drawn;Among the study of energy-saving driving uphill road,saving time uphill traction strategy is obtained by means of theoretical analysis and simulation.According to the research on energy saving driving,maglev train between the two stations with fixed running time is taken as an example.This paper proposes a timing driving strategy operation.Multi-population evolutionary genetic algorithm is designed,and optimization of maglev train driving strategy is used.The elitist strategy and migration strategy are adopted to improve stability and convergence of the optimization process.Finally,through the examples,the validity and advantage of the method are confirmed.As to the whole line train,the collaborative use of regenerative braking energy is proposed.The power supply system of middle-low-speed maglev transportation model based on energy consumption model during multi-train operation is analyzed.The multi-population genetic algorithm is designed.In order to make train run in the lowest energy consumption and maximize the use of regenerative braking energy,optimization of train schedules is investigated.At last,simulation proves the effectiveness of proposed method.
Keywords/Search Tags:maglev train, energy-saving operation, energy-saving driving, multi-population genetic algorithm
PDF Full Text Request
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