数据驱动的重载列车运行特性预测方法研究
Research on Data-driven Prediction Method of Heavy Load Train Operating Characteristics*
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摘要: 重载列车牵引负荷功率大、波动显著,其运行数据的准确预测对牵引供电系统分析至关重要。针对基于物理机理的重载列车运行数据计算方法存在精度不足的问题,提出一种基于场景生成法的重载列车运行特性预测方法,实现对重载列车运行位置、功率的准确预测。以典型重载线路为例,对所提出的重载列车功率预测方法进行了验证。Abstract: Heavy load trains have high power and significant fluctuation of traction load, and the accurate prediction of their operation data is crucial for the analysis of traction power supply system. The problem of insufficient accuracy exists in the calculation method of heavy train operation data based on physical mechanism. Therefore, this paper proposes a prediction method of heavy load train operation characteristics based on scenario generation method to achieve accurate prediction of heavy load train operation position and power. The proposed heavy load train power prediction method is validated by taking a typical heavy load line as an example.
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