列车节能运行决策问题的模拟优化研究

发布时间：2018-01-15 13:35

  本文关键词：列车节能运行决策问题的模拟优化研究　出处：《计算机工程与应用》2017年12期 　论文类型：期刊论文

  更多相关文章： 列车节能优化 模拟优化 改进布谷鸟优化算法 动态搜索 多目标优化

【摘要】：轨道交通运输耗能巨大,研究列车节能操作运行具有重要的理论意义和实用价值。从节能角度出发,分析列车运行过程中的能量转换机制,建立单列车耗能最低优化模型、多列车节能优化模型及列车延误多目标优化控制模型,针对模型本身及其约束条件的复杂性,提出基于改进布谷鸟优化算法与动态搜索方法的"模拟优化"求解方法,对列车节能运行决策问题进行求解,并通过与其他同类算法的比较,阐述了所提方法的优越性。得到列车在不同运行工况下的最优节能运行控制策略,确定各情况下列车运行的最优速度距离曲线,结果符合实际情况。改进算法的搜索效率更高,研究思路与模型对于列车节能操作运行具有一定的借鉴意义,所提出的针对复杂优化模型的求解方法合理有效,适用性强,有一定的参考价值。
[Abstract]:The energy consumption of rail transit is huge, so it is of great theoretical significance and practical value to study the operation of train energy saving. From the point of view of energy saving, the energy conversion mechanism in the train operation process is analyzed. A single train energy consumption minimum optimization model, a multi-train energy saving optimization model and a train delay multi-objective optimization control model are established, aiming at the complexity of the model itself and its constraints. Based on the improved cuckoo optimization algorithm and the dynamic search method, the "simulation optimization" method is proposed to solve the energy saving operation decision problem of the train, and through the comparison with other similar algorithms. The superiority of the proposed method is expounded, the optimal energy-saving operation control strategy of the train under different operating conditions is obtained, and the optimal speed distance curve of the train is determined under various conditions. The results are in line with the actual situation. The search efficiency of the improved algorithm is higher. The research ideas and models have a certain reference significance for the operation of the train energy saving operation. The proposed solution method for the complex optimization model is reasonable and effective. The applicability is strong, has certain reference value.
【作者单位】： 西安理工大学水利水电学院;西安热工研究院有限公司;西安理工大学自动化与信息工程学院;
【基金】：国家自然科学基金(No.51579208,No.51409207,No.51309190) 中央财政支持地方高校发展专项(No.106-5X1205)
【分类号】：TP18;U268.6
【正文快照】： 1.西安理工大学水利水电学院,西安7100482.西安热工研究院有限公司,西安7100543.西安理工大学自动化与信息工程学院,西安7100481.Institute of Hydroelectric Engineering,Xi’an University of Technology,Xi’an 710048,China2.Xi’an Thermal Power Research Institute Co.，

本文编号：1428585