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首先分析了中低速磁浮交通单列车运行能耗和供电系统,在此基础上建立多列车运行能耗模型。为了充分利用再生制动能量,提出了可对运行间隔、停站时间和区间运行时分微调的列车运行时刻表制定方法。设计了多种群遗传算法,以多列车运行能耗最低和最大程度利用再生制动能量为目标,优化列车运行时刻表。通过采用精英保留策略和移民策略算法,提高了寻优过程的稳定性和速度。仿真结果表明,本文方法可将再生制动能量的利用率由传统14.8%提高到80.9%,将被利用的再生制动能量与运行能耗比值由传统0.74%提高到4.2%。
Firstly, the energy consumption and power supply system of single and medium speed maglev trains are analyzed. Based on this, a multi-train running energy consumption model is established. In order to make full use of the regenerative braking energy, a method for formulating the train running schedule that can finely adjust the running interval, the stopping time and the interval running time is proposed. A multi-population genetic algorithm is designed to optimize the train running schedule by minimizing the energy consumption of multiple trains and maximizing the use of regenerative braking energy. By adopting the elite retention strategy and immigration strategy algorithm, the stability and speed of the optimization process are improved. The simulation results show that the proposed method can increase the utilization rate of regenerative braking energy from 14.8% to 80.9%, and the ratio of regenerative braking energy to operating energy consumption to be utilized from the traditional 0.74% to 4.2%.