| Urban rail transit provides a good solution for alleviating traffic congestion problems in large and medium-sized cities by its characteristics such as large capacity,safety,and punctuality,and it has been widely used in the world.However,as the scale of Chinese urban rail transit continues to expand,the energy consumption is also growing rapidly,and the environmental problems it brings are becoming increasingly prominent.In the subway operation energy consumption,the energy consumption of train traction accounts for more than 45%.Therefore,studying how to reduce the energy consumption of train traction in urban rail transit operations is of great significance to the development of a national green and low-carbon economy,reducing business operating costs,and building livable city.This paper mainly studies the energy-efficient operation optimization problem of urban rail multi-train based on ant colony algorithm.With the goal of reducing the total net traction energy consumption for train operation,the sub-problems of single-train energy-efficient driving optimization and the sub-problems of multi-train energy-efficient scheduling optimization are studied.The former combines the recommended speed curve optimization and the ATO energy-efficient curve following strategy to reduce the traction energy consumption demand of a single train;the latter improves the utilization of regenerative braking energy by optimizing the train diagram.The detailed research content of this article is as follows:1.Research on optimization methods for energy-efficient driving of single train.Established a train dynamics model and a traction energy consumption calculation model.On this basis,combined with the unequal separation processing method of the line data and the driver’s driving experience,a train recommended speed curve optimization method based on the ant colony algorithm was proposed.Then design the ATO energy-efficient curve following strategy to improve the original control strategy of the ATO system.Finally,the algorithm is simulated and verified by the actual data of Beijing Metro Yizhuang Line.The results show that compared with the original energy consumption data,the energy saving rate of this method is about 22.92%,the energy saving effect is obvious.2.Research on optimization methods for multi-train energy-efficient scheduling of multiple trains.Firstly,a calculation model of regenerative braking energy under multi-train operation based on time-power curve is established.On this basis,combined with the principle of regenerative braking energy utilization and the principle of train diagram adjustment,an energy-efficient full-dynamic comprehensive adjustment algorithm for departure interval and stop time based on ant colony algorithm is designed,and algorithm constraints are given.Finally,the algorithm was simulated and verified with the actual data of Beijing Metro Yizhuang Line,and the effects of the separate adjustment method of departure interval and the comprehensive adjustment method of departure interval and stop time were compared.The results show that the optimization method of the train diagram based on the comprehensive adjustment of departure interval and stop time is effective.Compared with the original energy consumption data,the energy saving rate is 29.88%,and the energy saving effect has been significantly improved.3.A simulation calculation platform for optimization of train energy-efficient operation was established.Based on the Matlab development platform,a simulation calculation platform for optimization of train energy-efficient operation with a graphical interface has been developed,with functions such as train speed curve drawing,train diagram drawing,and data reporting.This platform can perform intuitive validation of algorithms and parameter sensitivity analysis,which has important guiding significance for formulating reasonable train energy-saving driving strategies and scheduling arrangements. |
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