Study On Energy-saving Optimization Of Tracking Operation Of High-speed Railway Trains

With the rapid development of China's economy and society,the international status has been continuously improved,especially in the rapid development of the high-speed railroads in the transportation field,which makes people feel the charm of the high-speed rail.In the course of the development of high-speed railways,many experts and scholars have continuously made breakthroughs in R&D,innovation,and breakthroughs,resulting in an endless stream of outstanding scientific and technological achievements.Promoting the high efficiency of scientific and technological innovation is another important topic and many scholars are paying more and more attention.As an important resource for human development and innovation,energy is becoming increasingly scarce.With the constant advancement of high-speed rail,the issue of transportation energy consumption has attracted more and more attention.Therefore,it is indispensable to reduce the problem of excessive energy consumption during high-speed rail transportation.This paper mainly studies the energy saving optimization problem of high-speed train tracking operations.When the two trains track and run,the running status of the forward train will have a certain impact on the running process of the trailing trains.Therefore,this article regards the energy saving and punctuality as optimization targets.Combining the line data of the actual running range of the train,on the basis of using the multi-objective particle swarm optimization algorithm,the track energy-saving operation of the high-speed railway train is optimized to achieve energy conservation.The specific research content of this paper is as follows:(1)This article starts with the characteristics of high-speed train tracking operations,analyzes the key factors affecting the train tracking operation,establishes the train tracking interval model,and also analyzes the train operation maneuvering strategy.(2)Based on the research of high-speed railway train tracking operation process,a train dynamics model was established.The mathematic description of particle swarm optimization and multi-objective problems was combined with the characteristics of the two-vehicle tracking operation under moving occlusion,using multi-targets.Particle Swarm Optimization(PSO)uses energy saving and quasi-points as optimization objectives to model and solve the problem of tracking energy-saving running of trains.(3)Taking Beijing South Railway Station-Tianjin South Railway Station as an example,the MATLAB software was used to simulate the running curve of the track running in the running range of the train.The experimental results show that the energy saving quasi-point goal can be achieved by using the multi-objective particle swarm optimization algorithm to optimize the train tracking process.This verifies the effectiveness of the energy-savingoptimization algorithm.