摘要
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 studies the energy-efficient oriented optimization of single/multi-train operations.For single-train,optimal control model was established to minimize traction energy consumption.Using a gradual correction method to solve the model,the results show that traction energy consumption per kilometer is only 7-8 kWh.For multi-train,optimal control model was established to maximize recovery energy utilization by adjusting dwell time and solved by the genetic algorithm.The results show that it can save about 25%-30%of traction energy.Finally,for delays may occur in actual operation,given the appropriate adjustment strategy and Monte Carlo simulation was carried out.
出处
《数学的实践与认识》
北大核心
2016年第15期1-10,共10页
Mathematics in Practice and Theory
基金
湖北省高等学校省级教学研究项目(2015249)
关键词
优化控制
再生能量
遗传算法
蒙特卡罗模拟
optimal control
recovery energy
genetic algorithm
Monte Carlo simulation
