储能式有轨电车充电站布局优化研究

车载储能装置与接触网搭配的混合供电方式已成为有轨电车供电技术的发展趋势。结合有轨电车线路实际条件与列车特征参数合理设计地面充电方案至关重要。提出了一种基于遗传算法的储能式有轨电车充电站布局优化方法。建立了有轨电车运行模型,结合列车的区间运行过程对充电站布局进行分析。在此基础上,依据充电站布局的优化目标和优化约束条件,推导得到充电站布局的优化评价函数,并结合实际有轨电车线路数据进行充电站布局优化仿真计算。在保证列车正常运行的情况下,优化后的充电站数量仅为优化前的一半。仿真结果表明,采用该优化方法能够极大地降低工程建设成本。

Research on Layout Optimization of Charging Stations for Energy Storage Tram

The hybrid power supply mode of vehicle energy storage device and catenary has become the development tendency in modern tram power supply technology.It is crucial to design the ground charging scheme reasonably,based on the actual line conditions and train characteristic parameters.A layout optimization method of the charging stations for energy storage tram based on genetic algorithm was proposed.Tram operating models were established.The layout of charging stations was analyzed based on the interval operation process of the train,on the foundation of which,according to the optimization objectives and constraints of the charging station layout,the optimization evaluation function of the charging station layout was then derived.Combined with the actual tram line data,optimization simulation of the charging station layout was calculated.In the premises of ensuring the normal operation of the train,the number of charging stations after optimization is only half of that before optimization.The simulation results have demonstrated great reduction in construction cost of the project.