A method for optimizing urban rail transit timetable based on accurate power flow
Author:
Affiliation:
1. Department of Engineering and Applied Sciences, Sophia University
2. School of Electrical Engineering, Southwest Jiaotong University
3. Zhejiang Scientific Research Institute of Transport
Publisher
Japan Society of Mechanical Engineers
Subject
Process Chemistry and Technology,Economic Geology,Fuel Technology
Link
https://www.jstage.jst.go.jp/article/mej/10/3/10_22-00360/_pdf
Reference16 articles.
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2. Cai, Y., Irving, M.R. and Case, S.H. (1995a), “Modelling and numerical solution of multibranched DC rail traction power systems”, IEE Proceedings: Electric Power Applications, Vol. 142, No. 5, pp. 323–328.
3. Cai, Y., Irving, M.R. and Case, S.H. (1995b), “Iterative techniques for the solution of complex DC-rail-traction systems including regenerative braking”, IEE Proceedings - Generation, Transmission and Distribution, Vol. 142, No. September, pp. 445–452.
4. He, D., Yang, Y., Chen, Y., Deng, J., Shan, S., Liu, J. and Li, X. (2020), “An integrated optimization model of metro energy consumption based on regenerative energy and passenger transfer”, Applied Energy, Elsevier Ltd, Vol. 264, DOI: 10.1016/j.apenergy.2020.114770.
5. Ichikawa, S., and Miyatake, M. (2019), “Energy Efficient Train Trajectory in the Railway System with Moving Block Signaling Scheme”, IEEJ Journal of Industry Applications, Vol. 8, Issue 4, pp.586–591.
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