Optimal Control Strategies for Metro Trains to Use the Regenerative Braking Energy: A Speed Profile Adjustment Approach

被引:9
作者
Sun, Xubin [1 ]
Yao, Zemin [1 ]
Dong, Chunjiao [2 ]
Clarke, David [3 ]
机构
[1] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China
[2] Beijing Jiaotong Univ, Sch Traff & Transportat, Beijing 100044, Peoples R China
[3] Univ Tennessee, Ctr Transportat Res, Knoxville, TN 37996 USA
基金
中国国家自然科学基金;
关键词
Energy consumption; Energy efficiency; Real-time systems; Regulation; Traction power supplies; Sun; Optimal control; Optimal train control; regenerative braking energy; speed profile adjustment; energy saving; OPTIMIZATION; OPERATION; STORAGE; SYSTEM; CONSUMPTION; STATIONARY; REDUCTION;
D O I
10.1109/TITS.2023.3248653
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The Regenerative Braking Energy (RBE) of metro trains plays an important role in metro energy saving. If the regenerative energy can be directly absorbed by the adjacent trains, the investment in other RBE usage equipments like super capacitors will be reduced. To increase the RBE usage, the overlaps of traction and braking processes of adjacent trains can be increased by timetable optimization or real-time train regulation. But if the overlaps cannot be realized, the RBE cannot be efficiently absorbed by the other trains. To solve this problem, this paper proposes an optimal train control method to absorb the RBE of the braking train by adjusting the speed profile of an adjacent train that runs at non-braking stage. A speed profile adjustment algorithm for the adjacent train is given considering the speed limits and gradients, in which a traction process is incorporated in the adjusted speed profile. Connected and unconnected DC power supply networks are both considered. In the connected DC power supply network, the RBE of the braking train can be absorbed by the adjacent adjusted train, which runs in the different power supply section. To test the robustness of the proposed algorithm, random train delays are considered in the simulations. The interstation running time will be regulated to reduce the train delay by a linear programming model, based on which, the speed profile of the cooperative train will be adjusted. Simulations are conducted based on a whole day data of Beijing Metro Line 4. The simulation results show that the proposed method improves the energy efficiency over 13% by improving RBE usage, and the proposed method also shows strong robustness in the train delay simulations, which makes it a promising method to be applied in real metro system.
引用
收藏
页码:5883 / 5894
页数:12
相关论文
共 39 条
[1]   Energy-efficient train control: From local convexity to global optimization and uniqueness [J].
Albrecht, Amie R. ;
Howlett, Phil G. ;
Pudney, Peter J. ;
Vu, Xuan .
AUTOMATICA, 2013, 49 (10) :3072-3078
[2]  
Albrecht T, 2010, POWER SUPPLY, ENERGY MANAGEMENT AND CATENARY PROBLEMS, P3
[3]   Cooperative Control of Metro Trains to Minimize Net Energy Consumption [J].
Bai, Yun ;
Cao, Yunwen ;
Yu, Zhao ;
Ho, Tin Kin ;
Roberts, Clive ;
Mao, Baohua .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 21 (05) :2063-2077
[4]   Stationary or onboard energy storage systems for energy consumption reduction in a metro network [J].
Barrero, R. ;
Tackoen, X. ;
van Mierlo, J. .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART F-JOURNAL OF RAIL AND RAPID TRANSIT, 2010, 224 (F3) :207-225
[5]   Energy savings in metro-transit systems: A comparison between operational Italian and Spanish lines [J].
Falvo, Maria Carmen ;
Sbordone, Danilo ;
Fernandez-Cardador, Antonio ;
Cucala, Asuncion P. ;
Pecharroman, Ramon R. ;
Lopez-Lopez, Alvaro .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART F-JOURNAL OF RAIL AND RAPID TRANSIT, 2016, 230 (02) :345-359
[6]   A systems approach to reduce urban rail energy consumption [J].
Gonzalez-Gil, A. ;
Palacin, R. ;
Batty, P. ;
Powell, J. P. .
ENERGY CONVERSION AND MANAGEMENT, 2014, 80 :509-524
[7]   Energy-Efficient Train Tracking Operation Based on Multiple Optimization Models [J].
Gu, Qing ;
Tang, Tao ;
Ma, Fei .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2016, 17 (03) :882-892
[8]   Energy-Efficient Train Operation in Urban Rail Transit Using Real-Time Traffic Information [J].
Gu, Qing ;
Tang, Tao ;
Cao, Fang ;
Song, Yong-duan .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2014, 15 (03) :1216-1233
[9]   ENERGY-EFFICIENT TRAIN CONTROL [J].
HOWLETT, PG ;
MILROY, IP ;
PUDNEY, PJ .
CONTROL ENGINEERING PRACTICE, 1994, 2 (02) :193-200
[10]   On an optimal control problem of train operation [J].
Khmelnitsky, E .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2000, 45 (07) :1257-1266