Research On Timing Energy Saving Optimization Of Metro Trains Considering Ride Comfort

With the continuous development of our country’s urbanization process,urban rail transit has developed rapidly and steadily because of its characteristics of large capacity,safety,high speed,and punctuality.And it has become the preferred means of transportation for passengers.The rail transit system,as a huge underground transportation network,has huge energy consumption,Moreover,people are paying more and more attention to the riding comfort experience of traveling.Therefore,carrying out energy-saving optimization research on metro trains has an important practical significance for reducing train operating costs and improving passenger travel experience.In this paper,the optimization of the operation curve between single subway stations and the optimization of the operation curve of multiple trains using regenerative braking energy are studied from the perspective of energy saving and taking account the comfort of passengers.Firstly,three different station operation strategies of metro trains are analyzed,and the four-stage operation strategy of "traction,cruise,idler,and braking" is selected according to their respective characteristics to study the energy-saving optimization of metro trains.Secondly,a single subway train dynamic model is established by analyzing the operating characteristics of metro trains which including actual operating environmental factors such as curved ramps and speed limits.a calculation method of regenerative braking energy for multiple metro trains is constructed by the law of regenerative braking energy utilization and the power matrix.Thirdly,the single train timed energy-saving model,single-train energy-saving model considering riding comfort and the subway multi-train energy-saving model are constructed,at the same time the relationship between the three models is explained.This paper uses particle swarm algorithm to calculate the energy-saving optimization of metro trains by analyzing the characteristics of metro train analytical algorithm,numerical algorithm and intelligent algorithm.In addition,this paper chose Nanning Metro Line 1 as a case for simulation.The simulation result proves the effectiveness of the energy-saving optimization scheme for metro trains established in this paper,and the subway train operation diagram was drawn based on the optimization results.Finally,a subway train energy-saving optimization operation system considering riding comfort is designed,which can provide certain guidance for the energy-saving operation of subway trains.