摘要
[目的]城市轨道交通在运营过程中会产生大量能耗,其中列车运行的牵引能耗具有较大优化空间,因此亟需研究一种面向列车牵引节能的控车策略。[方法]首先,建立列车运行的动力学方程,并定义了列车运行过程的约束条件;其次,对列车牵引能耗优化策略进行分解建立目标函数,并基于遗传算法模型对列车运行能耗在不同区间分配和区间最优巡航速度进行求解;然后,通过遗传算法的交叉变异过程,得出节能效果最优的驾驶速度推荐曲线;最后,通过Matlab软件搭建仿真模型并采用真实的线路列车参数和运营数据,模拟列车的站间运行过程。[结果及结论]试验结果表明:基于遗传算法模型的控车策略相较于传统固定工况序列的控车策略,在牵引节能指标上有了显著提升。
[Objective]Urban rail transit generates a considerable amount of energy consumption during operation,with traction energy consumption of train operation offering significant optimization potential.Therefore,there is an urgent need to study a train traction energy-saving control strategy.[Method]Firstly,a dynamic equation of train operation is established,and the constraint conditions for the train operation process are defined.Secondly,the optimization strategy for train traction energy consumption is decomposed to establish the objective function.Based on the genetic algorithm model,the allocation of train operation energy consumption in different intervals and the optimal cruising speed within intervals are solved.Then,through the cross mutation process of the genetic algorithm,the optimal energy-saving effect of the driving speed recommendation curve is obtained.Finally,a simulation model is built using Matlab software,with real-line train parameters and operational data to simulate the inter-station operation process of the train.[Result&Conclusion]Experimental results show that the control strategy based on the genetic algorithm model,compared to the conventional fixed working condition sequence control strategies,significantly improves traction energy-saving indicators.
作者
高琦
梁化典
漆林
GAO Qi;LIANG Huadian;QI Lin(CRRC Nanjing Puzhen Vehicle Co.,Ltd.,210031,NanJing,China)
出处
《城市轨道交通研究》
北大核心
2024年第5期16-19,24,共5页
Urban Mass Transit
关键词
城市轨道交通列车
牵引能耗
遗传算法
节能控制
urban rail transit train
traction energy consumption
genetic algorithm
energy-saving control
