针对复杂线路的全局最优工况序列和最佳工况转换点位置难以确定的问题，提出一种基于改进麻雀搜索算法（ISSA）最佳工况转换点位置多目标优化方法。分析货运列车运行约束条件，根据性能指标要求构建以节能准点为优化目标的模型，采用线性加权求和设计适应度函数；根据实际运行线路限速和坡道情况规划求解复杂线路下货运列车工况序列，采用基于自适应权重和Levy飞行扰动ISSA，求解此工况序列下的最佳工况转换点位置。仿真结果表明所设计的工况序列及转换点位置生成的目标速度曲线方法，能在满足货运列车准点运行的前提下实现节能。

It is difficult to determine the global optimal condition sequence and the location of the optimal condition conversion point of complex lines. In order to solve this problem, a multi-objective optimization method based on the improved sparrow search algorithm (ISSA) is proposed. The operation performance indexes and constraints of freight trains are analyzed, the optimization model with energy-saving punctuality is constructed, and the fitness function is designed based on linear weighted summation. According to the line speed limit and ramp conditions, a method for solving the working condition sequence of freight trains under complex lines is designed, and the position of the optimal working condition conversion point under the working condition sequence is obtained by the ISSA based on adaptive weight and Levy flight disturbance. The simulation results show that the target speed curve generated by the designed working condition sequence and the position of the conversion point can achieve energy-saving on the premise of meeting the on-time operation of freight trains.

湖南省自科基金项目（2020JJ6009）；大功率交流传动电力机车系统集成国家重点实验室资助项目（13221430000500）