Optimal Control of Metro Energy Conservation Based on Regenerative Braking: A Complex Model Study of Trajectory and Overlap Time

Due to increasing environmental concerns regarding urban transit systems, the specific operating characteristics of metro trains and the rules of regenerative braking energy recycling were studied in this paper to relieve environmental stress. Based on the integrated research on trajectory and opera...

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Bibliographic Details
Published in:IEEE access 2019, Vol.7, p.68342-68358
Main Authors: He, Deqiang, Yang, Yanjie, Zhou, Jixu, Chen, Yanjun
Format: Article
Language:English
Subjects:
Control algorithms
Control theory
Energy conservation
Energy consumption
Genetic algorithms
Matrix control model
Numerical models
Optimal control
optimization
Ramps
Regenerative braking
Schedules
Solution space
Subway cars
Trajectory
Urban transportation
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Summary:Due to increasing environmental concerns regarding urban transit systems, the specific operating characteristics of metro trains and the rules of regenerative braking energy recycling were studied in this paper to relieve environmental stress. Based on the integrated research on trajectory and operation time, we considered complex operation routes mixed with ramps and detours, which also caused a complicated situation of overlap time, to better fit the actual and more efficient situation. A complex new model combined with a matrix control algorithm was proposed in this study. This model overcomes the lack of matching opportunity for overlap time as well as the precocity and instability of the genetic algorithm. In addition, the search ability of the model in the solution space is more comprehensive. In the interest of achieving minimum energy consumption, the objective function was set to minimize the total energy. Taking the Chongqing Metro Line 1 as a numerical example, the energy consumption results show that the energy saving method is effective and has a practical advantage. Then, a comparison of different models using the index of renewable utilization ratio as the indicator shows that the proposed model has a superior potential for energy conservation.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2019.2918938