Abstract:

The position of the railway electrical resolver and the track gradient design are interacted. If the position of electrical resolver and track gradient are designed independently, the energy consumption of train movement and the travel time of users will be increased significantly, and even an unexpected train stop in the neutral zone occurs. To design the position of the railway electrical resolver and the track gradient scheme near the electrical resolver, this paper establishes a collaborative optimization model to minimize the sum of train energy cost, travel time cost, and construction cost, while the railway design specifications and train operation constraints are satisfied. An improved genetic algorithm based on an indirect coding method is developed to solve the proposed model. The case studies show that, in comparison with the actual design scheme of a high-speed railway line, the solution optimized by the proposed model can reduce the speed loss after the train passing through the electrical resolver as well as the energy consumption and time of the secondary traction. The optimized solution also saves the construction cost of the high-speed rail line and the overall saving of total cost reaches 9.2%.

Key words: railway transportation, electrical resolver position, genetic algorithm, track vertical alignment, comprehensive cost

摘要：

铁路电分相布设位置与线路纵断面设计相互影响，两者若不匹配会产生较高的列车牵引能耗与用户时间成本，甚至造成列车在分相区坡停等安全事故。本文以铁路电分相位置以及距离电分相中心里程一定范围内的纵断面设计方案为研究对象，建立电分相布设及纵断面设计协同优化模型，在满足铁路设计规范与列车运行安全的相关约束下，使列车运营能耗成本、用户时间成本和建设成本之和最小。设计基于间接编码的改进遗传算法进行求解，以某高铁线路为案例进行分析。结果表明，与实际电分相和纵断面布设方案相比，本文模型优化得到的方案可减小列车过分相后的速度损失及二次牵引能耗与时间，同时能降低线路建设成本，总成本节约率达 9.2%。

关键词: 铁路运输, 分相位置优化, 遗传算法, 纵断面设计, 综合成本