Research On Metro Operation Strategy Based On Subway-network-road Collaborative Simulation

The realization of energy saving and emission reduction in urban rail transit system is an important measure to respond to the national sustainable development strategy,improve the competitiveness of rail transit industry and reduce operating costs.The research on train energy-saving operation is of great significance to reduce the operating cost of rail transit industry and realize energy saving and emission reduction.The driving strategy and operating schedule of the subway train affect the traction energy consumption and braking energy recovery in the process of train operation,and directly determine the traction power supply energy consumption and operating cost of the subway system.Therefore,the use of appropriate optimization methods to reduce the energy consumption of traction power supply has become an important issue in the research of urban rail transit energy saving.Taking the subway train as the research object,this paper introduces the system structure of subway train,analyzes the dynamic model and motion model of subway train,and completes the mathematical model of traction transmission system and train control system based on MATLAB platform.In addition,the ground resistance model is coupled with the train model to provide the basis for the multi-vehicle model of vehicle network cooperation.Secondly,the composition and operation mode of urban rail transit traction power supply system are introduced,the traction network model including train equivalent model,traction substation and line impedance is built,and the calculation flow of DC traction power supply is described.On this basis,the vehicle network coordination model is built and verified by using the line impedance calculation module and the topology update module,which provides the basis for the follow-up optimization research.Then,the operation of a single subway train is analyzed,and taking a domestic subway line as an example,a single subway train optimization model and energy-saving scheme based on genetic algorithm are designed.After that,the speed curve between single stations is optimized with different running time,and the optimal speed curve and energy consumption value of the corresponding time are obtained,and the functional relationship between minimum energy consumption and running time between stations is obtained by power function fitting.and the redundant time allocation algorithm is used to allocate the running time among the stations,so as to optimize the bicycle driving strategy.This example proves that by adjusting the running time of the bike and optimizing the speed curve between stations,the energy consumption of the power supply system for train operation can be reduced,and the final energy saving effect can reach 6.85%.Finally,the generation and utilization of regenerative braking energy are expounded,and the significance of increasing traction braking overlap time to multivehicle energy-saving operation is analyzed.based on the vehicle network coupling model built in this paper and the bicycle optimization results in chapter 4,with the goal of minimizing the total energy consumption of the power supply system,the particle swarm optimization algorithm is used to optimize the departure interval between peak and flat periods of multi-subway trains.The simulation results show that the energy saving effects of 7.35% and 6.15% can be achieved respectively by optimizing the departure interval between peak hours and flat periods to meet the requirements of the voltage range of traction power supply network.