Journal ArticleDOI
Optimization of Train Speed Profile for Minimum Energy Consumption
Masafumi Miyatake,Hideyoshi Ko +1 more
Reads0
Chats0
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.read more
Citations
More filters
Journal ArticleDOI
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.
Journal ArticleDOI
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).
Journal ArticleDOI
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.
Journal ArticleDOI
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.
Journal ArticleDOI
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
More filters
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.