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Research On Energy-saving Operation Of Medium-low Speed Maglev Train With Time-varying Motor Efficiency

Posted on:2023-12-14Degree:MasterType:Thesis
Country:ChinaCandidate:H K WangFull Text:PDF
GTID:2532306845498744Subject:Traffic Information Engineering & Control
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Medium-low speed maglev train has the advantages of low noise,small turning radius and strong climbing ability,which is the development direction of urban rail transit for future.Meanwhile,medium-low speed maglev trains should not only consider the traction energy consumption,but also the levitation energy consumption.In addition,the medium-low speed maglev train is tracted by linear induction motor,and the motor efficiency is not only related to speed,but also varies with the levitation gap.Therefore,it is of great theoretical significance and application value to study the energy-saving driving of medium-low speed maglev trains.In view of the unique technical characteristics of medium-low speed maglev,the energy-saving driving problem of medium-low speed maglev train based on the study of linear induction motor efficiency and levitation gap is analyzed.Firstly,the influence of speed and levitation gap on motor efficiency,the influence of motor efficiency on traction energy consumption and regenerative braking energy,and the influence of levitation gap on levitation energy consumption are studied with the technical characteristics and force conditions of medium and low speed maglev trains analyzed.And then the energy-saving driving problem of medium-low speed maglev trains considering motor efficiency and levitation gap is studied.The main contents and innovations of this thesis are as follows:(1)The technical characteristics and force of medium-low speed maglev train are analyzed.The relationship between train speed,levitation gap and motor traction efficiency and regenerative braking efficiency,the relationship between levitation gap and speed,and its influence on levitation energy consumption are studied.On this basis,the traction energy consumption model considering the motor traction efficiency varies with speed and levitation gap is established,the regenerative braking energy model considering the motor regenerative braking efficiency varies with speed and levitation gap and the levitation energy consumption model considering the active adjustment of levitation gap are established.(2)The energy-saving driving problem of single train with motor efficiency varying with speed and levitation gap is studied.The energy-saving driving model of medium-low speed maglev train with fixed running time and the optimal energy-saving driving model are established,and the corresponding algorithm to solve model is designed.Finally,the curves of optimal energy-saving driving and energy consumption are obtained according to the simulation results of Beijing S1 line,which verifies the effectiveness of the model and the energy-saving effect of the algorithm.(3)Based on the research of single train energy-saving driving,the energy-saving driving problem of single train with multi-station considering the motor efficiency varies with speed and levitation gap is studied.A single train with multi-station energysaving driving model is established,then according to the energy consumption curve of each station on the whole line,and the optimal energy-saving driving time of the whole line is obtained and genetic algorithm is used to solve the multi-station redundancy time allocation problem.Finally,according to the line data,the optimal allocation scheme of redundant time between stations and the variation curve of the whole line operation energy consumption with redundant time are obtained by simulating.The effectiveness of the model and algorithm is verified.Compared with the average allocation of redundant time,the optimal allocation of redundant time has good energy-saving effect.
Keywords/Search Tags:Medium-low speed maglev train, Energy-saving operation, Traction energy consumption, Levitation energy consumption, Motor efficiency, Levitation gap, Regenerative braking, Redundant time allocation
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