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Optimal driving strategy for traction energy saving on DC suburban railways

Y.V. BocharnikovUniversity of Birmingham, Railway Research Centre, Birmingham, B15 2TT, UKAndrew M. TobiasDepartment of Mechanical and Manufacturing Engineering, University of Birmingham, Birmingham, B15 2TT, UKClive RobertsDepartment of Electronic, Electrical and Computer Engineering, University of Birmingham, Birmingham, B15 2TT, UKStuart HillmansenDepartment of Electronic, Electrical and Computer Engineering, University of Birmingham, Birmingham, B15 2TT, UKC.J. GoodmanDepartment of Electronic, Electrical and Computer Engineering, University of Birmingham, Birmingham, B15 2TT, UK

2007en

ABI

Annotatsiya

Energy saving on electrified railways has been studied for many years and the technical solution is usually provided by a combination of driving strategy (e.g. coasting), regenerative braking and energy storage systems. An alternative approach is for the driver (or automatic train operation system if fitted) to manage energy consumption more efficiently. A formal method for optimising traction energy consumption during a single-train journey by trading-off reductions in energy against increases in running time has been demonstrated. The balance between saving energy and running faster has been investigated by designing a fitness function with variable weightings. Energy savings were found, both qualitatively and quantitatively, to be affected by acceleration and braking rates, and, by running a series of simulations in parallel with a genetic algorithm search method, the fitness function was used to identify optimal train trajectories. The influence of the fitness function representation on the search results was also explored.

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Identifikatorlar

DOI: 10.1049/iet-epa:20070005

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