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主要研究了以节能为目标的单/多列车优化控制问题.对于单列车,建立了以最小化牵引耗能为目标的优化控制模型.采用了逐步修正法对模型进行求解,计算结果表明每公里牵引耗能仅为7.8 kWh.对于多列车,建立了以停车时间为决策变量,最大化再生能量利用为目标的多列车优化控制模型,并采用遗传算法进行了求解.计算结果表明,模型能够节省大约25%-30%的牵引耗能.最后对实际运行中可能出现的延误,给出相应的调整策略,并对其进行了蒙特卡罗模拟.
This paper mainly studies the optimization control problem of single / multi-train with energy-saving as the target.For the single-train, an optimization control model with the goal of minimizing the traction energy is established.The step-by-step correction method is used to solve the model.The calculation results show that every kilometer The traction energy consumption is only 7.8 kWh.For multi-train, a multi-train optimization control model with parking time as decision-making variable and maximum utilization of regenerative energy is established and solved by genetic algorithm.The calculation results show that the model can save About 25% -30% of the traction energy consumption.Finally, the actual adjustment of the possible delay in the operation, given the corresponding adjustment strategy, and its Monte Carlo simulation.