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System energy optimisation strategies for metros with regeneration

  • Published:2017-02 Issue: Volume:75 Page:120-135
  • ISSN:0968-090X
  • Container-title:Transportation Research Part C: Emerging Technologies
  • language:en
  • Short-container-title:Transportation Research Part C: Emerging Technologies

Author:

Tian Zhongbei,Weston Paul,Zhao Ning,Hillmansen Stuart,Roberts Clive,Chen Lei

Funder

Guangzhou Metro Corporation

Guangzhou Metro Design & Research Institute Co., Ltd.

Guangzhou Science and Technology Project

Anhui Birmingham International Research Institute in Rail Transportation

Anhui Comprehensive Transportation Research Institute

Publisher

Elsevier BV

Subject

Computer Science Applications,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference30 articles.

1. Optimal driving strategy for traction energy saving on DC suburban railways;Bocharnikov;IET – Electr. Power Appl.,2007

2. Iterative techniques for the solution of complex DC-rail-traction systems including regenerative braking;Cai;IEE Proc. – Gener. Transm. Distrib.,1995

3. Modelling and numerical solution of multibranched DC rail traction power systems;Cai;IEE Proc. – Electr. Power Appl.,1995

4. Modeling and simulation of DC transit system with VSI-fed induction motor driven train using PSB/MATLAB;Chang,2001

5. Optimising train movements through coast control using genetic algorithms;Chang;IEE Proc. – Electr. Power Appl.,1997

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