Optimization of Train Speed Profile for Minimum Energy Consumption

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.

[1]  T. Hiroki Nonlinear receding horizon gradient method- real-time optimization for robot trajectory generation , 2004, Proceedings of the 2004 IEEE International Conference on Control Applications, 2004..

[2]  T Albrecht REDUCING POWER PEAKS AND ENERGY CONSUMPTION IN RAIL TRANSIT SYSTEMS BY SIMULTANEOUS TRAIN RUNNING TIME CONTROL , 2004 .

[3]  Jan M. Maciejowski,et al.  Predictive control : with constraints , 2002 .

[4]  T. Funaki,et al.  Simulation results of novel energy storage equipment series-connected to the traction inverter , 2007, 2007 European Conference on Power Electronics and Applications.

[5]  Masafumi Miyatake,et al.  Numerical Study on Dynamic Programming Applied to Optimization of Running Profile of a Train , 2005 .

[6]  Takashi Izumi,et al.  A Production Train Diagram of Train Control to Save Power Consumption used for Dynamic Programming , 2008 .

[7]  Asunción P. Cucala,et al.  Computer-Aided Design of ATO Speed Commands According to Energy Consumption Criteria , 2008 .

[8]  Masafumi Miyatake,et al.  Energy Saving Speed and Charge/discharge Control of a Railway Vehicle with On-board Energy Storage by Means of an Optimization Model , 2009 .

[9]  Masafumi Miyatake,et al.  Optimal speed control of a train with On-board energy storage for minimum energy consumption in catenary free operation , 2009, 2009 13th European Conference on Power Electronics and Applications.

[10]  Masafumi Miyatake,et al.  A Numerical Method for Optimal Operating Problem of a Train Considering DC Power Feeding System , 2006 .

[11]  Eugene Khmelnitsky,et al.  On an optimal control problem of train operation , 2000, IEEE Trans. Autom. Control..

[12]  Masafumi Miyatake,et al.  Application of dynamic programming to the optimization of the running profile of a train , 2004 .

[13]  Asunción P. Cucala,et al.  Computer-aided Design Of ATOSpeed Commands According ToEnergy Consumption Criteria , 2008 .

[14]  Masamichi Ogasa Energy Saving and Environmental Measures in Railway Technologies: Example with Hybrid Electric Railway Vehicles , 2008 .

[15]  M. Miyatake,et al.  Numerical analyses of minimum energy operation of multiple trains under DC power feeding circuit , 2007, 2007 European Conference on Power Electronics and Applications.

[16]  Robert E. Kalaba,et al.  Dynamic Programming and Modern Control Theory , 1966 .

[17]  Atsuo Kawamura,et al.  Control of biped walking robot for human living environment , 2009 .

[18]  Marco Luethi Evaluation of Energy Saving Strategies in Heavily Used Rail Networks by Implementing an Integrated Real-Time Rescheduling System , 2008 .

[19]  Masafumi Miyatake,et al.  Charge/Discharge Control of a Train with On-Board Energy Storage Devices for Energy Minimization and Consideration of Catenary Free Operation , 2008 .