Optimal Speed Profile Determination with Fixed Trip Time in the Electric Train Operation of the Cat Linh-Ha Dong Metro Line based on Pontryagin's Maximum Principle

Author:

Anh T. T. T. A.,Quyen N. V.ORCID

Abstract

The significant energy consumption for railway electric transportation operation poses a great challenge in outlining saving energy solutions. Speed profile optimization based on optimal control theory is one of the most common methods to improve energy efficiency without the railway infrastructure investment costs. The paper proposes an optimization method based on Pontryagin's Maximum Principle (PMP), not only to find optimal switching points in three operation phases: accelerating, coasting, braking, and from these switching points being able to determine the optimal speed profile, but also to ensure fixed-trip time. In order to determine trip time abiding by the scheduled timetables by applying nonlinear programming puts the Lagrange multiplier λ in the objective function regarded as a time constraint condition. The correctness and energy effectiveness of this method have been verified by the simulation results with data collected from the electrified trains of the Cat Linh-Ha Dong metro line in Vietnam. The saving energy levels are compared in three scenarios: electrified train operation tracking the original speed profile (energy consumption of the route: 144.64kWh), train operation tracking the optimal speed profile without fixed-trip time (energy consumption of the route: 129.18kWh), and train operation tracking the optimal speed profile and fixed trip time (energy consumption of the route: 132.99kWh) in an effort to give some useful choices for operating metro lines.

Publisher

Engineering, Technology & Applied Science Research

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Energy-Efficient Train Operation Optimization in Istanbul Metro Network Considering Variable Passenger Numbers;Transportation Research Record: Journal of the Transportation Research Board;2023-11-09

2. On-time and energy-saving train operation strategy based on improved AGA multi-objective optimization;Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit;2023-09-21

3. Optimal Control Algorithm for Subway Train Operation by Proximal Policy Optimization;Applied Sciences;2023-06-23

4. Optimal Control Problem for Minimization of Net Energy Consumption at Metro;Mathematics;2023-02-18

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