Si-yu Xiao
ABSTRACT
Reducing the energy consumption has been a significant issue in urban transit operations. Considering the prior constraint from the operational schedule, the online optimization of the speed curve between successive stations is capable of improving the energy saving capability and enhancing cost-efficiency of the whole rail transit system. To fulfill the requirements of schedule adherence, an on-line optimization method for reducing energy consumption the train traction control operation is presented in this paper. In this method, the bacteria foraging algorithm is adopted to achieve an optimal solution of an objective function concerning the energy consumption and other related factors, with which the speed curve for the following rail section can be updated and adjusted in-time to cope with the possible deviation between time schedule and the practical operation. With the integration of the rail dispatching and train operation control, the control strategy of the train can be updated according to specifically modified trip plan, which means that the changed schedule for the following rail section still can be fulfilled by re-calculating the optimized speed curve of the train within the standing time in a station. The optimization is achieved under a multi-objective optimization framework, where the energy consumption and passenger comfort degree are concerned under a time-domain constraint that might be adjusted based on the latest schedule. Results from simulation demonstrate the effectiveness and feasibility of the proposed method, which illustrate the great potentials in safer and greener urban transit systems in the future.
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Index Terms
- On-line Optimization of Energy-saving Train Control using Bacteria Foraging Algorithm
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