STUDY ON ENERGY SAVING OPTIMIZATION OF RAIL TRANSIT TRAIN OPERATION
Volume 1, Issue 1, pp 8-12
Author(s)
Zheyong Wu*, Shen Wu, Yu Yang, Xiaoming Ni, Zhang Ding
Affiliation(s)
China University of Mining and Technology, Shenzhen 518118, Guangdong, China.
Corresponding Author
Zheyong Wu
ABSTRACT
This paper studies the energy-saving optimization decision-making of single or multiple trains in rail transit. Trains require a huge amount of energy, The research on the rational allocation of rail vehicles and the reduction of energy consumption in operation is of great significance. The complexity of the environment in which trains operate And the ups and downs of the track line, the force on the train is changing at any time. Realized by simulating rail train operation research The optimization model has great application value and theoretical significance. Using the principle of maximum value, multi-objective quadratic programming, nonlinear The equation model optimizes the energy consumed by rail trains, and in the case of energy optimization, the displacement, velocity and time, Regular transformation of speed.
KEYWORDS
Urban train; Energy-saving operation; Timetable optimization; Matlab simulation.
CITE THIS PAPER
Zheyong Wu, Shen Wu, Yu Yang, Xiaoming Ni, Zhang Ding. Study on energy saving optimization of rail transit train operation. World Journal of Mathematics and Physics. 2023, 1(1): 8-12.
REFERENCES
[1] Liu W, Li Q Z, Guo L. Study on optimization of energy - saving operation of urban the rail trains based on multi - population genetic algorithm. Journal of Systems Simulation, 2010, 9(4): 921-925.
[2] Li Y S. Research on fault detection and protection of DC power supply system in urban the rail transit. Journal of railway Engineering Society, 2013, 6(5): 67-68.
[3] Cheng G Z. Research on energy saving operation method of railway vehicle. Management Scholars (Aca - demic Edition), 2014, 8(12): 42-47.
[4] Miyatake M, Matsuda K. Energy saving spee d and charge / discharge control of a railway vehicle with on the board storage by means of an optimization model.IEEE Transactions on Electrical and Electronic Engineering, 2009, 4(6): 171- 172.
[5] Zhu J L, Li h C, Wang Q Y. analysis of train energy - saving control l. Railway Science, 2008, 29(2): 104- 108
[6] Huang Z Q. Planning of power remote control System in Urban rail Transit System. Beijing: China Railway Press, 2016: 35-40.
[7] Chen B Z, Wang Z Q, Wang X. Characteristics analysis of Passenger ow on the rail transit network in Shanghai. Transport of China, 2013, 11(6): 28-34.
[8] Su S, Tang T, Li X. of multi-train operations in a subway system.IEEE Transactions on Intelligent Transportation Systems, 2014, 15(2): 673-684.
[9] Ma x Y, Jin A, Liu m M. Rail transit Passenger ow characteristics in Guangzhou. Transport of China, 2013, 11(6): 35-42
[10] Tan G W, Zong C L. Characteristics Analysis of the rail transit Passenger ow in Shenzhen. Urban Transport of China, 2013, 11(6): 43-48
[11] Liu R F, Golovitcher L E. Energye ?client operation of the rail vehicles. research policy and Practice, 2015, 37(10): 917-918.
[12] song Y. Research on train energy saving operation under ATO mode of urban the rail transit. Railway Communication signal Engineering Technology, 2014, 11(2): 41-44.
[13] Chen R, Chen L, Liu L Y. Research on internet creative product ecosystem: based on organizational ecology theory. Journal of Guangxi Normal University (Philosophy and social Sciences Edition), 2016, 13(4): 14-25.
[14] Khmelnitsky E. On an optimal control problem of train operation. IEEE Transactions on Automatic control, 2016, 45(7): 1257- 1266.
[15] Howllet P. An optimal strategy for the control of a train. Journal of the Australian Mathematical Society (Series B), Applied Mathematics, 1990, 31(4): 454-471.
[16] Miyatake M, Ko H. Optimization of train speed pro?le for minimum consumption. IEEE Transactions on electric Engineering, 2010, 5(3): 111- 112.