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Real time electrical power estimation for the energy management of automatic metro lines

Author

Listed:
  • Lesel, J.
  • Bourdon, D.
  • Claisse, G.
  • Debay, P.
  • Robyns, B.

Abstract

This paper intends to present a methodology to maximise reuse of regenerative braking energy in automatic metro lines for both offline and real time energy management. It first describes optimisation techniques for scheduling energy efficient timetables, while considering a no-fluctuation operating mode, as it corresponds to the most dominant operating case. Impact of headway and dwell time management on regenerative braking recovery are especially examined with a multi-criteria fitness function. Then, iterative solving techniques are introduced to precisely quantify energy transfers between trains. A neural estimator of trains power consumption is also proposed to meet real time requirements. Simulation results based on experiments conducted on Torino metro line are exposed to evaluate the performance of this estimator.

Suggested Citation

  • Lesel, J. & Bourdon, D. & Claisse, G. & Debay, P. & Robyns, B., 2017. "Real time electrical power estimation for the energy management of automatic metro lines," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 131(C), pages 3-20.
    • Handle: RePEc:eee:matcom:v:131:y:2017:i:c:p:3-20
    DOI: 10.1016/j.matcom.2016.06.003
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    References listed on IDEAS

    as
    1. Robyns, Benoît & Davigny, Arnaud & Saudemont, Christophe, 2013. "Methodologies for supervision of Hybrid Energy Sources based on Storage Systems – A survey," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 91(C), pages 52-71.
    2. Higgins, A. & Kozan, E. & Ferreira, L., 1996. "Optimal scheduling of trains on a single line track," Transportation Research Part B: Methodological, Elsevier, vol. 30(2), pages 147-161, April.
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