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Optimization of Train Speed Profile for Minimum Energy Consumption

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TLDR
In this article, the optimal operation of railway systems minimizing total energy consumption is discussed, and three methods of solving the formulation, dynamic programming (DP), gradient method, and sequential quadratic programming (SQP), are introduced.
Abstract
The optimal operation of railway systems minimizing total energy consumption is discussed in this paper. Firstly, some measures of finding energy-saving train speed profiles are outlined. After the characteristics that should be considered in optimizing train operation are clarified, complete optimization based on optimal control theory is reviewed. Their basic formulations are summarized taking into account most of the difficult characteristics peculiar to railway systems. Three methods of solving the formulation, dynamic programming (DP), gradient method, and sequential quadratic programming (SQP), are introduced. The last two methods can also control the state of charge (SOC) of the energy storage devices. By showing some numerical results of simulations, the significance of solving not only optimal speed profiles but also optimal SOC profiles of energy storage are emphasized, because the numerical results are beyond the conventional qualitative studies. Future scope for applying the methods to real-time optimal control is also mentioned. Copyright © 2010 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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A systems approach to reduce urban rail energy consumption

TL;DR: In this article, the authors proposed a holistic approach to reduce the overall energy consumption of urban rail, which includes regenerative braking, energy-efficient driving, traction losses reduction, comfort functions optimisation, energy metering, smart power management and renewable energy micro-generation.
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Single-Train Trajectory Optimization

TL;DR: This paper proposes a distance-based train trajectory searching model, upon which three optimization algorithms are applied to search for the optimum train speed trajectory, found that the ant colony optimization (ACO) algorithm obtains better balance between stability and the quality of the results, in comparison with the genetic algorithm (GA).
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Research and development of automatic train operation for railway transportation systems: A survey

TL;DR: This study presents the background of ATO technology in railways, which involves the detailed description of its development and implementation in urban metro systems, fundamental features and basic structure of a typical ATO system, and a comprehensive literature review in this area.
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An Energy-Efficient Train Operation Approach by Integrating the Metro Timetabling and Eco-Driving

TL;DR: An integrated train operation approach by jointly optimizing the train timetable and driving strategy and a distributed regenerative braking energy model is proposed, based on which the integrated optimization model is formulated.
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Energy Savings in Metropolitan Railway Substations Through Regenerative Energy Recovery and Optimal Design of ATO Speed Profiles

TL;DR: The main objective of this work is to design optimal ATO speed profiles of metro trains taking into account the energy recovered from regenerative brake in order to minimize the net energy at substations.
References
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Book

Predictive Control With Constraints

TL;DR: A standard formulation of Predictive Control is presented, with examples of step response and transfer function formulations, and a case study of robust predictive control in the context of MATLAB.
Journal ArticleDOI

On an optimal control problem of train operation

TL;DR: This paper examines the operation of a train on a variable grade profile subject to arbitrary speed restrictions to determine a detailed program for traction and brake applications, which minimizes energy consumption in moving the train along a given route for a given time.
Journal ArticleDOI

Application of dynamic programming to the optimization of the running profile of a train

TL;DR: In this paper, an algorithm with Bellman's Dynamic Programming (DP) was proposed to optimize the train running profile under a fixed origin and destination, stipulated running time, limited electric motive force and electric brake by VVVF controlled induction motor/generator blended with mechanical brake, several local speed constraints and local inclines.
Journal ArticleDOI

Reducing power peaks and energy consumption in rail transit systems by simultaneous train running time control

TL;DR: This paper presents a new approach to train running time control based on the minimization of a single train's energy using dynamic Programming to achieve energy cost reductions in rail transit systems.
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