Research On Automated Operation Decision Of Urban Rail Transit Oriented To Energy Saving Optimization

With the rapid growth of urban population,people’s travel pressure is getting heavier.The subway are favored by people due to its large capacity,safety and punctuality,convenience and quickness.At the same time,the train consumes a great deal of energy during operation,so it is of great significance to reduce the energy consumption by optimizing the train operation.In the previous study of single train,single objective optimization was carried out by weighted sum of energy consumption and running time,which could not provide optimal operation method of energy consumption under different running time.After analyzing the characteristics of the shortest-time operating curve,this paper proposes to introduce idling into the shortest time-sharing operation strategy to realize the multi-objective optimization of energy consumption and running time,which can provide operators the optimal energy consumption under different running time.Based on the research of single-train energy-saving optimization,this paper studies the utilization of regenerative braking energy in multi-trains and optimizes the utilization of regenerative braking energy through adjusting the station stopping time.By introducing the invariance constraints of the running time,it solves the problem of the decrease of the line operation capability.The research method has a high innovation and practical significance.This paper first establishes a multi-mass point model of a city-rail train,analyze the forces and kinematics equations and define the indicators to measure the performance of the train during its operation.At the same time,combining with the actual line model,the safe running reference line and the method of seeking the fastest operation line under time-saving strategy are elaborated,which lays the foundation for the subsequent research.Based on the single train’s fastest running curve,it is proposed to introduce an inertial strategy at high speed to characterize the problem as multi-objective optimization considering energy consumption and running time.The multi-objective energy-saving optimization model was established,and the improved NSGA-Ⅱ algorithm is used to solve the problem.Finally,based on the real line data,simulation experiments are carried out.The result shows the feasibility of this method.Based on the research of single-train energy-saving optimization,a multi-train energy-saving operation considering regenerative braking energy utilization is studied.The influential factors such as the power supply interval,departure interval,up-down synchronization time and station stopping time of the regenerative braking energy are analyzed.The calculation method of multi-train energy consumption is studied.Based on the actual line data,the influence of departure interval on the utilization of regenerative braking energy is analyzed on the basis of fixed power supply interval and train station stopping time.Based on the researches on energy-saving operation of multi-trains,it is proposed to optimize the utilization of regenerative braking energy by adjusting the station stopping time of multiple trains,establish a multi-train energy saving optimization model based on station stopping time adjustment and solve problems with population genetic algorithm.Finally,based on the actual line data,simulations are carried out to verify the feasibility of the method.The research in this paper is based on tremendous line data computation,the calculation process is complicated and the simple calculation result data is not intuitive enough.Therefore,this paper developed an ATO simulation platform with a safe reference line calculation function and an ATO autopilot control function following the target line,enabling a one-touch calculation and visualization of calculation results.It has laid the foundation for the energy consumption study of the urban rail transit.