Train Energy Saving Operation Based on Simulated Annealing Algorithm

Authors

Liu Wei, School of Electric Engineering, Southwest Jiaotong University, Chengdu 610031, China;
Jiaxuan Xu, School of Electric Engineering, Southwest Jiaotong University, Chengdu 610031, China;
Peipei Wang, School of Electric Engineering, Southwest Jiaotong University, Chengdu 610031, China;
Ruilong Liu, School of Electric Engineering, Southwest Jiaotong University, Chengdu 610031, China;
Jingkun Tang, School of Electric Engineering, Southwest Jiaotong University, Chengdu 610031, China;

Abstract

Abstract: For the timing and energy saving algorithm of urban railway, the train operation iterative process was analyzed by dividing the operation intervals to meet the requirements of the subway trains timing energy saving operation. The differentiation was adopted to establish the train operation iterative model, and as a result the timing energy saving problem was transformed into the solution of train output using coefficient sequence. An optimization solving method based on simulated annealing algorithm was proposed and the algorithm was implemented using MFC program. Three intervals of Shanghai Metro Line 3 were selected and the solution of the train output was got using coefficient sequence and traction energy consumption with the timing constraints respectively. Compared with actual test results, it turned out to save energy ranging from 4.77% to 7.04% under the condition that the time allowed error is not more than ±2%.

Recommended Citation

Wei, Liu; Xu, Jiaxuan; Wang, Peipei; Liu, Ruilong; and Tang, Jingkun (2018) "Train Energy Saving Operation Based on Simulated Annealing Algorithm," Journal of System Simulation: Vol. 30: Iss. 6, Article 40.
DOI: 10.16182/j.issn1004731x.joss.201806040
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss6/40

First Page

2320

Revised Date

2016-11-01

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201806040

Last Page

2327

CLC

U231+.6

Recommended Citation

Liu Wei, Xu Jiaxuan, Wang Peipei, Liu Ruilong, Tang Jingkun. Train Energy Saving Operation Based on Simulated Annealing Algorithm[J]. Journal of System Simulation, 2018, 30(6): 2320-2327.

DOI

10.16182/j.issn1004731x.joss.201806040