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Civil-Comp Proceedings
ISSN 1759-3433
CCP: 104
PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE
Edited by: J. Pombo
Paper 240

A Greedy Heuristic for Optimizing Metro Regenerative Energy Usage

D. Fournier1,2, F. Fages1 and D. Mulard2

1Contraintes Team, Inria Rocquencourt, France
2General Electric Transportation ICS Delta, Paris La Défense, France

Full Bibliographic Reference for this paper
D. Fournier, F. Fages, D. Mulard, "A Greedy Heuristic for Optimizing Metro Regenerative Energy Usage", in J. Pombo, (Editor), "Proceedings of the Second International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Stirlingshire, UK, Paper 240, 2014. doi:10.4203/ccp.104.240
Keywords: energy optimization, regenerative braking, metro timetabling.

Summary
When the regenerative braking energy cannot be stored by the metro producing it, it has to be used instantaneously on the network, otherwise it is lost. In this case, the accelerating and braking trains need be synchronized to fully benefit from the regenerative energy, and a metro timetable is energetically optimized when all the regenerative braking is utilized to power other trains. This synchronization consists in lining up each braking train with an accelerating one in its neighbourhood. Doing so, the latter will benefit from the regenerative energy of the former. In this paper a fast greedy heuristic, is proposed, to tackle the problem of minimizing the energy consumption of a metro timetable by modifying solely the dwell times in stations. This heuristic is compared to a state-of-the-art meta heuristic called the covariance matrix adaptation evolution strategy (CMA-ES) and shows similar results with much faster computation time. Finally, it is shown that a run of the algorithm on a full timetable may reduce its energy consumption by 5.1%.

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