A method for optimizing urban rail transit timetable based on accurate power flow

The timetable of urban rail greatly affects its daily energy consumption. To improve the utilization renewable between trains using timetabling has become an effective way to reduce Previous studies ignore or simplify modelling traction power supply network, which failed accurately describe flow through network. This paper proposed optimisation method efficiency considering First, transit DC network model is established, and current-vector iterative used characterize Then, a train minimize total consumption system by adjusting dwell time section running time. genetic algorithm solve problem. Finally, simulation result shows that can effectively transit.