Study On Optimization Method Of The Medium-Speed Maglev Train Timetable For Energy Saving

The medium-speed maglev with a speed of 200km/h is a new transportation tool,which has advantages of fast,convenient,green and high environmental adaptability.And it has a broad application prospect in the future rail transit.The medium-speed maglev consumes a lot of electric energy during the operation,so it is key to reduce energy consumption in reducing operation costs.And the medium-speed maglev train timetable is the basic gist of the operation,which directly affects the running energy consumption.Therefore,based on the medium-speed maglev characteristics,this paper studied the optimization method of the medium-speed maglev train timetable for energy saving.And the main work includes the following aspects:(1)Analyze problems related to energy saving operation of the medium-speed maglev.Firstly,the main factors affecting the operation of the medium-speed maglev were analyzed,including the power supply zone and auxiliary stopping area.And the relationship with tracking interval and running speed was determined.Secondly,the kinetic equations of the medium-speed maglev and the switching sequences of energy-efficient operation conditions were determined.Then,considering the influence of the power supply zone and auxiliary stopping area,the interval tracking strategy and tracking state transition process of multiple medium-speed maglev were determined.(2)Establish the optimization model of the medium-speed maglev trajectory planning for energy saving,which is solved by Pareto optimal method.Firstly,based on the medium-speed maglev characteristic of the auxiliary stopping area,the running line was divided into different scenes according to the line parameter.Then the scene was divided into different sections further according to the crossover point of the double protected curve.The model was established to optimize energy-efficient trajectory of multiple sections under the constraint of the target running time.And the model was given a resolving thought based on different switching point of operation conditions and the Pareto optimization method to optimize the energy-efficient trajectory planning of multiple sections.(3)Establish the optimization model of the medium-speed maglev train timetable for energy saving,which is solved by the genetic algorithm.Firstly,the tracking strategy and the energy consumption of the multiple medium-speed maglev,including traction energy consumption,suspension energy consumption,regenerative braking energy,etc.,were considered.Based on the energy-saving optimization of the trajectory planning,the optimization model of the medium-speed maglev train timetable for energy saving was established.From levels of train timetable and energy-saving operation,the energy consumption was optimized.Then,the model was solved by genetic algorithm to allocate the departure interval and the section running time reasonably,to achieve the energy-saving goal.(4)Verify the correctness of the optimization models and the effectiveness of the optimization methods of the medium-speed maglev trajectory planning and train timetable for energy saving by examples.Firstly,the correctness of the optimization models of the medium-speed maglev trajectory planning for energy saving was verified by an example of the medium-speed maglev line segment.And compared with the existing energy-saving trajectory planning optimization methods,the simulation results showed this optimization method was better at applicability and optimization for the maglev.Secondly,the correctness of the optimization models of the medium-speed maglev train timetable for energy saving was verified by an example of the multi-station medium-speed maglev line.And compared with the scheme of only optimizing the departure interval,the results showed this optimization method was better at optimization by optimizing the departure interval and section running time,which increased energy efficiency by 0.10%.