Energy-Saving Optimization Study of Train Timetable Based on Regenerative Braking Technology

In this paper, we consider the effect of instantaneous power on the amount of regenerative braking energy recovery and divide a series of short time intervals to refine the calculation of energy consumption. Based on this, an optimization model with the objective of minimizing energy consumption is constructed, which uses the first station departure interval, inter-station travel time and station dwell time to describe the train timetable, and a running line adjustment algorithm is designed to ensure the arrival and departure intervals are reasonable. By using the hybrid genetic algorithm embedded with harmonic search, the case of a virtual line with 20 stations and 200 trips is solved and the results show that the method proposed in this paper can effectively reduce energy consumption.