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Peak Power Demand and Energy Consumption Reduction Strategies for Trains under Moving Block Signalling System

机译:动块信号系统下列车的峰值功率需求和能耗降低策略

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In the moving block signalling (MBS) systemwhere the tracking target point of the following train ismoving forwardwith its leading train, overload of the substations occurs when a dense queue of trains starts (or restarts) in very close distance interval. This is the peak power demand problem. Several methods have been attempted in the literature to deal with this problem through changing train's operation strategies. However, most existing approaches reduce the service quality. In this paper, two novel approaches" Service Headway Braking" (SHB) and "Extending Stopping Distance Interval" (ESDI)-are proposed according to available and unavailable extra station dwell times, respectively. In these twomethods, the restarting times of the trains are staggered and traction periods are reduced, which lead to the reduction of peak power demand and energy consumption. Energy efficient control switching points are seen as the decision parameters. Nonlinear programmingmethod is used tomodel the process. Simulation results indicate that, compared with ARL, peak power demands are reduced by 40% and 20% by applying SHB and ESDI without any arrival time delay, respectively. At the sametime, energy consumptions are also reduced by 77% and 50% by applying SHBand ESDI, respectively.
机译:在移动块信号(MBS)系统中,下一列火车的跟踪目标点与其领先火车一起向前移动,当密集的火车队列在非常近的距离间隔内启动(或重新启动)时,变电站就会出现过载。这是峰值功率需求问题。在文献中已经尝试了几种方法来通过改变火车的运行策略来解决这个问题。但是,大多数现有方法降低了服务质量。在本文中,分别根据可用和不可用的额外站点停留时间,提出了两种新颖的方法“服务行车制动”(SHB)和“扩展停止距离间隔”(ESDI)。在这两种方法中,列车的重新启动时间错开,牵引时间缩短,这导致峰值功率需求和能耗降低。节能控制切换点被视为决策参数。非线性编程方法用于对过程进行建模。仿真结果表明,与ARL相比,通过应用SHB和ESDI分别将峰值功率需求降低了40%和20%,而没有任何到达时间延迟。同时,通过使用SHB和ESDI,能耗也分别降低了77%和50%。

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  • 来源
    《Mathematical Problems in Engineering》 |2013年第13期|940936.1-940936.11|共11页
  • 作者单位

    Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing 100044, Peoples R China.;

    Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing 100044, Peoples R China.;

    Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing 100044, Peoples R China.;

    Univ Agder, Fac Sci & Engn, Dept Engn, N-4898 Grimstad, Norway.;

    Chongqing Univ, Sch Automat, Chongqing 400044, Peoples R China.;

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