Urban rail transit train speed curve and timetable comprehensive energy-saving optimization method

Abstract

The invention discloses an urban rail transit train speed curve and timetable comprehensive energy-saving optimization method. The method comprises the steps of establishing a train interval operation traction energy consumption calculation model based on train operation process stress analysis; establishing a single train speed curve optimization model based on a Pareto multi-objective particle swarm algorithm by taking interval operation traction energy consumption and interval operation time as optimization objectives; establishing a data module for analysis and calculation of the energy-saving time table; establishing a time table optimization model based on a particle swarm algorithm by taking minimization of total traction energy consumption of a full-line train as a target, and obtaining an energy-saving interval operation time and stop time distribution scheme; and outputting an energy-saving optimization result, and determining an energy-saving optimal adjustment strategy of the full-line train. According to the method, the total traction energy consumption of the full-line train can be reduced to the maximum extent under the condition of meeting passenger comfort, train safe operation and normal operation scheduling, and the method has high use value and application prospects.

Description

technical field [0001] The invention relates to the technical field of urban rail transit, in particular to a comprehensive energy-saving optimization method for train speed curves and timetables of urban rail transit. Background technique [0002] With the rapid development of my country's economy and the continuous expansion of urban population, the demand for urban rail transit is growing rapidly. Urban rail transit has the advantages of safety, high efficiency, and convenience. Vigorously developing rail transit can effectively alleviate the burden of road traffic, save social resources and reduce traffic congestion. However, due to the huge traffic volume of urban rail transit, its total energy consumption remains high and its operating costs are high. Among them, the energy consumption of train traction accounts for about 50% of the total energy consumption, accounting for a relatively large proportion. Therefore, how to effectively reduce the energy consumption of tr...

AI Technical Summary

Problems solved by technology

However, due to the huge traffic volume of urban rail transit, its total energy consumption remains high and its operating costs are high

Images