Research On Operation Time Of Optimal Allocation Between Middle And Low-to-medium-speed Maglev Train Stations Aiming At Energy Conservation

By setting the redundant running time and departure interval of the train reasonably between multiple stations can effectively reduce the running energy consumption of the train.The research results on the optimization of the running time of wheel-rail trains with the goal of energy saving have been relatively abundant,but the relevant research on low-to-medium-speed maglev trains is still in its infancy.According to the technical features of low-to-medium-speed maglev and with the goal of energy saving,the optimal running time and optimal departure interval between multiple stations are studied.First the energy consumption model of train operation is established.And then,based on the minimum operation time between train stations and the optimal energy-saving operation time,with the goal of energy saving,the optimal running time and optimal departure interval between multiple stations are studied.The main research contents of the thesis are as follows:(1)According to the technical characteristics of low-to-medium-speed maglev,the effect of asynchronous traction force and suspension force on the train and the corresponding power relationship are analyzed.On this basis,the energy consumption model of the medium and low speed maglev train is obtained.(2)The problem of redundant running time allocation between multiple stations of a single train is studied.Firstly,the minimum running time between stations is solved.Then,the energy-saving operation strategy of low-to-medium-speed maglev train is obtained by using the Pareto iterative optimization method,and the optimal energy-saving operation time of the train is solved.On this basis,under the premise of the total running time unchanged,the redundant running time allocation scheme between multiple stations of a single train is obtained by using genetic algorithm.Taking Beijing S1 line as the object to verify the effectiveness of the program,the total energy consumption of the requested program was reduced by 6.03%.(3)The problem of running time and departure interval allocation between multiple trains and stations is studied.Aiming at the operation scenario where regenerative braking energy is fed back to adjacent trains,with the goal of minimizing the operation energy consumption of all trains in the whole line,the multi population genetic algorithm is used to obtain the redundant operation time allocation and departure interval setting scheme between multiple trains and multiple stations.Taking Beijing S1 line as the object to verify the effectiveness of the scheme,the proposed scheme reduces the total energy consumption by 3.38% compared with only optimizing the departure interval,and reduces the total energy consumption by 7.67% compared with only optimizing the running time.This thesis contains 26 figures,12 tables and 74 references.