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城市轨道交通系统能耗包括列车牵引、通风空调、电梯、给排水等设备产生的能耗,其中列车牵引能耗占轨道交通系统总能耗40%以上,最大化地降低列车牵引能耗成为了日益关注的问题。主要针对复杂路况下列车的运行控制,设计出一套基于递归思想的优化算法,能够得到在特定时间、路况等约束条件下的最优行驶控制策略,能够有效降低牵引能耗。同时研究了多列车运行时,如何通过协同控制最大化利用制动再生能量的问题,并给出了相关的解决方案。
The energy consumption of urban rail transit system includes train traction, ventilation and air conditioning, elevators, water supply and drainage and other equipment generated energy, of which the train traction energy consumption accounted for more than 40% of the total energy consumption of the rail transit system, to minimize train traction energy consumption has become Growing concerns. Aiming at the running control of the train under complicated road conditions, an optimization algorithm based on recursive theory is designed, which can get the optimal driving control strategy under certain constraints such as time, traffic conditions and so on, which can effectively reduce traction energy consumption. At the same time, it studies how to maximize the use of regenerative braking energy through coordinated control in multi-train operation and gives some solutions.