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Optimal Model of Timetable Under the Influence of Train Speed on the Utilization Rate of Regenerative Braking

机译:火车速度对​​再生制动利用率的影响下的时间表优化模型

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With expanded development of subway systems, regenerative braking energy utilization has been intensively studied from a timetable synchronize point of view. Yet, even successful modeling approaches such as those based on regenerative braking technique still do not fully take into account the fact that at lower than threshold speed, no energy can be utilized. To achieve a better performance on energy-efficient operation with the actual problem, this paper formulated a timetable rescheduling model (TR model) to optimize the timetable by maximizing the overlapping time between accelerating and regenerative braking actions of trains in the same substation with the consideration of regenerative braking process. We design a genetic algorithm (GA) to solve the model and present some numerical experiments based on the actual operation data of Beijing Yizhuang subway line in China. It is shown that the model can reduce the energy consumption by 25.3% compared with the current timetable. In addition, numerical experiments show that the dwell-time and lower limits of headway have a strong effort on regenerative energy utilization.
机译:随着地铁系统的扩展开发,从一次性同步的观点来看,已经集中研究了再生制动能量利用。然而,即使是成功的建模方法,如基于再生制动技术的方法仍然没有完全考虑到阈值速度低于阈值速度的事实,没有能量。为了在具有实际问题的节能操作方面实现更好的性能,本文制定了一种时间表重新安排模型(TR模型),以通过考虑在同一变电站中的加速和再生制动动作之间最大化重叠时间来优化时间表再生制动过程。我们设计一种遗传算法(GA)来解决模型,并以中国北京市北庄地铁线的实际运作数据为基础的一些数值实验。结果表明,与电流的时间表相比,该模型可以将能量消耗降低25.3%。此外,数值实验表明,入门的停留时间和下限对再生能量利用有力。

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