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Energies 2016, 9(3), 208; doi:10.3390/en9030208

Multi-Train Energy Saving for Maximum Usage of Regenerative Energy by Dwell Time Optimization in Urban Rail Transit Using Genetic Algorithm

School of Electrical Engineering, Beijing Jiaotong University, No. 3 Shangyuancun, Beijing 100044, China
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Academic Editor: William Holderbaum
Received: 2 February 2016 / Revised: 5 March 2016 / Accepted: 10 March 2016 / Published: 17 March 2016

Abstract

With its large capacity, the total urban rail transit energy consumption is very high; thus, energy saving operations are quite meaningful. The effective use of regenerative braking energy is the mainstream method for improving the efficiency of energy saving. This paper examines the optimization of train dwell time and builds a multiple train operation model for energy conservation of a power supply system. By changing the dwell time, the braking energy can be absorbed and utilized by other traction trains as efficiently as possible. The application of genetic algorithms is proposed for the optimization, based on the current schedule. Next, to validate the correctness and effectiveness of the optimization, a real case is studied. Actual data from the Beijing subway Yizhuang Line are employed to perform the simulation, and the results indicate that the optimization method of the dwell time is effective. View Full-Text
Keywords: genetic algorithm; dwell time; energy saving; braking energy; multi-train; urban rail transit genetic algorithm; dwell time; energy saving; braking energy; multi-train; urban rail transit
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Lin, F.; Liu, S.; Yang, Z.; Zhao, Y.; Yang, Z.; Sun, H. Multi-Train Energy Saving for Maximum Usage of Regenerative Energy by Dwell Time Optimization in Urban Rail Transit Using Genetic Algorithm. Energies 2016, 9, 208.

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