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首页> 外文会议>International Conference on Computers in Railways; 2004; Dresden; DE >Reducing power peaks and energy consumption in rail transit systems by simultaneous train running time control
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Reducing power peaks and energy consumption in rail transit systems by simultaneous train running time control

机译：通过同步列车运行时间控制来减少铁路运输系统中的功率峰值和能耗

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摘要

Costs for traction energy in electric rail transit systems do not only depend on the energy actually consumed by the single trains. Other major factors affecting the energy bill are power peaks, which stand for investment and sometimes for operating costs and the efficient use of energy regenerated during braking, which can contribute to reducing peaks and energy consumption. For constant headway operation on a single line, the headway itself and the interval between the departure times of two trains from the two different terminus stations (synchronization time) strongly influence energy consumption and power peaks. But these factors are mostly not fixed in favour of reducing energy costs but determined by traffic demand and operational restrictions. This paper examines the possibilities of train running time modification in order to reduce power peaks and energy consumption for any situation of given headway and synchronization time. The problem can be described as the search for an optimal distribution of a train's running time reserve along its ride. The application of Genetic Algorithms is proposed. A case study is carried out for a German DC electric rapid rail system, where different cost functions are examined. Simulation studies are performed taking into account stochastically varying station dwell times. It is shown that using train running time modification, improvements in overall energy consumption can be achieved and power peaks can be reduced significantly.
机译：电动轨道交通系统中牵引能量的成本不仅取决于单列火车实际消耗的能量。影响电费账单的其他主要因素是功率峰值，功率峰值代表着投资，有时甚至代表着运营成本，以及在制动过程中有效利用再生的能量，可以有助于降低峰值和能耗。为了在单条线路上保持恒定的车距运行，车距本身和两列火车从两个不同的终点站出发的时间之间的间隔（同步时间）会极大地影响能耗和功率峰值。但是这些因素大多不是为了降低能源成本而固定的，而是由交通需求和运营限制决定的。本文研究了在给定的行驶距离和同步时间的任何情况下，修改列车运行时间以减少功率峰值和能耗的可能性。问题可以描述为在火车行驶过程中寻找火车运行时间储备的最佳分布。提出了遗传算法的应用。针对德国直流电动快速铁路系统进行了案例研究，在该系统中研究了不同的成本函数。在进行模拟研究时要考虑到站的驻留时间是随机变化的。结果表明，通过修改列车运行时间，可以实现总体能耗的改善，并且可以显着降低功率峰值。

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