Journal ArticleDOI
Research on the Cooperative Train Control Strategy to Reduce Energy Consumption
TLDR
It turned out that the optimal energy- saving control strategy can be obtained with the departure headway given, and an energy-saving control strategy corresponding to the minimum energy consumption can be worked out too.Abstract:
Based on the mature energy-saving strategy of a single train, the optimization of multiple trains' trajectories is studied. A cooperative control model is formulated with the utilization of the regenerative energy considered, which is used to calculate the total energy consumption of an electric subway system under various energy-saving control strategies. Taking the cooperative operation of two trains within the same section of an electrical system as an example, the front one adopt the optimal driving strategy with four modes of movement, which are the maximum traction, cruising, coasting, and the maximum braking by sequence. The latter is controlled by the strategy with four movement modes (mentioned earlier) and five movement modes (namely, the maximum traction, cruising/coasting, the maximum traction, coasting, and the maximum braking), respectively. The minimum energy consumption under different departure headway is calculated by using a heuristic algorithm. It turned out that the optimal energy-saving control strategy can be obtained with the departure headway given, and an energy-saving control strategy corresponding to the minimum energy consumption can be worked out too. The proposed energy-saving strategy can reduce energy consumption by 19.2% at the most.read more
Citations
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Proceedings ArticleDOI
A Subway Train Timetable Optimization Approach Based on Energy-Efficient Operation Strategy
TL;DR: Wang et al. as mentioned in this paper presented an integrated algorithm for optimizing the timetable for the entire route together with the speed profiles between successive stations, which is named as integrated timetable, and they gave an analytical algorithm to get the optimal switching points for each section by using the Pontryagin maximum principle.
Journal ArticleDOI
Cooperative Prescribed Performance Tracking Control for Multiple High-Speed Trains in Moving Block Signaling System
TL;DR: This paper addresses the cooperative control for multiple high- speed trains to achieve prescribed performance tracking, i.e., the speed and the position of high-speed trains are guaranteed to be confined to specific speed limitations and allowed distances ratified by automatic train protection and moving authority, respectively.
Journal ArticleDOI
Energy-efficient operation by cooperative control among trains: A multi-agent reinforcement learning approach
TL;DR: An energy-efficient train operation method using the cooperative control approach, which reduces the net energy consumption by more than 11.1% compared to the method in which the driving strategy of each train is independently optimized.
Journal ArticleDOI
Research on the Regeneration Braking Energy Feedback System of Urban Rail Transit
TL;DR: The simulation and experiments results show that the RBEFS is able to feed RBE back into the ac grid effectively and the power quality of its output current satisfies the requirements of grid connection, as well as mitigate the voltage rise of the traction network under different startup threshold perfectly.
Journal ArticleDOI
Railway System Energy Management Optimization Demonstrated at Offline and Online Case Studies
TL;DR: The validity of the algorithms for minute ahead optimization and real-time operation is demonstrated and the simulation results in offline and online real case studies are analyzed.
References
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Journal ArticleDOI
The Optimal Control of a Train
TL;DR: This work considers the problem of determining an optimal driving strategy in a train control problem with a generalised equation of motion and shows that for each fixed control sequence the cost of fuel can be minimised by finding the optimal switching times.
Journal ArticleDOI
A Subway Train Timetable Optimization Approach Based on Energy-Efficient Operation Strategy
TL;DR: An analytical formulation is provided to calculate the optimal speed profile with fixed trip time for each section and the algorithm is fast enough to be used in the automatic train operation (ATO) system for real-time control.
Journal ArticleDOI
Optimal strategies for the control of a train
TL;DR: It is shown that a strategy of optimal type with alternate phases of coast and maximum power can be used to approximate the idealised minimum cost strategy.
Journal ArticleDOI
A Cooperative Scheduling Model for Timetable Optimization in Subway Systems
TL;DR: A cooperative scheduling approach to optimize the timetable so that the recovery energy that is generated by the braking train can directly be used by the accelerating train, and a genetic algorithm with binary encoding to solve the optimal timetable is designed.
Journal ArticleDOI
The key principles of optimal train control—Part 2: Existence of an optimal strategy, the local energy minimization principle, uniqueness, computational techniques
TL;DR: In this article, the problem of finding an energy-efficient driving strategy for a train journey on an undulating track with steep grades subject to a maximum prescribed journey time was discussed.