Integral Energy Saving Optimization Of Urban Rail Transit Based On Regeneration Energy Utilization

In urban railway transit system,traction energy consumption accounts for a huge proportion.The optimization of train driving operation and the utilization of regenera-tive braking energy are important energy-saving measures in the urban rail way transit system,and have drawn wide attention.The optimization of train trajectory is aimed to reduce traction energy consumption of train itself.Regenerative energy utilization is regenerative braking energy generated by train braking,and is instantly utilized by other traction trains in the same power supply area.In order to improve the utilization effi-ciency of regenerative braking energy,it is necessary to consider the train position,time and driving strategy,i.e.timetable and train trajectory.Previous researchers did not combine the two aspects closely,and the utilization of regenerative braking energy considers theoretical train trajectory.In this paper,two kinds of energy-saving measures are taken into account,and the train trajectory simula-tion for consecutive stations based on maximum principle is adopted.The simulation of train trajectory optimization improved the accuracy,which is based on the train model that fitted by practical data,and considered the practical slope,velocity limit and aero-dynamics resistance,the simulation.As for the utilization of regenerative braking ener-gy,the optimizable time element in timetable is analyzed,and the whole day train oper-ation energy consumption calculation model is established.This paper proposes two in-tegrated energy saving optimization methods based on the combination of two ener-gy-saving measures:collaborative optimization based on consecutive stations running time and collaborative optimization based on train departure interval.The main work of this paper are as follows:(1)This paper analyzes the energy consumption of train operation in urban rail transit,and builds the energy consumption evaluation model.(2)According to the running time scheduled by timetable,this paper optimizes the train trajectories under the premise of ensuring the accuracy of parking applying maxi-mum principle,when optimizing single train.(3)Proposed two model to combine trajectory optimization and timetable optimi-zation.(4)This paper separates the trajectory optimization from timetable optimization,and improves the extendibility tremendously by implementing an interface with solution space.(5)Conducting a simulation based on Beijing Yizhuang line data and train model,and the result illustrated an impressive reduction of energy consumption.