Special Issue Review Paper / Special Issue on Energy Saving Technologies on Electric Railways in Japan

Optimization of Train Speed Profile for Minimum Energy Consumption

  1. Masafumi Miyatake Member1,*,
  2. Hideyoshi Ko Member2

Article first published online: 20 APR 2010

DOI: 10.1002/tee.20528

Issue

IEEJ Transactions on Electrical and Electronic Engineering

IEEJ Transactions on Electrical and Electronic Engineering

Special Issue: Special Issue on Energy Saving Technologies on Electric Railways in Japan

Volume 5, Issue 3, pages 263–269, May 2010

Additional Information

How to Cite

Miyatake, M. and Ko, H. (2010), Optimization of Train Speed Profile for Minimum Energy Consumption. IEEJ Trans Elec Electron Eng, 5: 263–269. doi: 10.1002/tee.20528

Author Information

  1. 1

    Department of Engineering and Applied Sciences, Sophia University, 7-1, Kioicho, Chiyoda-ku, Tokyo 102-8554, Japan

  2. 2

    Department of Clinical Engineering, Suzuka University of Medical Science, Kishioka-cho 1001-1, Suzuka, Mie 510-0293, Japan

*Department of Engineering and Applied Sciences, Sophia University, 7-1, Kioicho, Chiyoda-ku, Tokyo 102-8554, Japan

Publication History

  1. Issue published online: 20 APR 2010
  2. Article first published online: 20 APR 2010
  3. Manuscript Revised: 30 NOV 2009
  4. Manuscript Received: 25 AUG 2009

SEARCH

SEARCH BY CITATION

ARTICLE TOOLS

Get PDF (251K)

Keywords:

  • electric railway;
  • rail vehicle;
  • optimization;
  • speed profile;
  • energy-saving operation

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.

Get PDF (251K)