Optimization of Train Speed Curve for Energy Saving Using Efficient and Accurate Electric Traction Models on the Mass Rapid Transit System

被引:27
作者
Zhao, Xin-Hong [1 ]
Ke, Bwo-Ren [2 ]
Lian, Kuo-Lung [1 ]
机构
[1] Natl Taiwan Univ Sci & Technol, Dept Elect Engn, Taipei 10607, Taiwan
[2] Natl Penghu Univ Sci & Technol, Dept Elect Engn, Penghu 88046, Taiwan
关键词
Energy saving; mass rapid transit (MRT) system; optimization; speed curves; traction model; COAST CONTROL; DRIVES;
D O I
10.1109/TTE.2018.2851785
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Rail transport systems play a crucial role in public transport systems in that they are highly effective in mitigating traffic jams, maximizing transportation capacity, minimizing air pollution, and reducing energy consumption. This paper optimized the operation of a single rapid transit train between stations for energy conservation. Past studies investigating energy conservation in train operation only considered the consumption of mechanical energy or assumed a constant efficiency value for the direct conversion of mechanical energy to electrical energy consumption. However, a train using minimal mechanical energy does not necessarily imply that its input electrical energy is minimal. Therefore, only through direct minimization of electrical energy consumption the goal of energy conservation in train operation can be achieved. Simulation results from the conventional mechanical model, the exact model, and the proposed model indicated that the conventional mechanical model could not reflect the actual electrical energy consumption and consequently could not yield the optimal train-speed curve. Simulation results from the exact and the proposed models revealed small differences between their energy consumption calculation results. The model this paper proposed greatly reduced the simulation time. Moreover, when the coasting mode was added to the proposed model, the operational energy consumption was reduced by approximately 58%.
引用
收藏
页码:922 / 935
页数:14
相关论文
共 38 条
[1]  
[Anonymous], 2015, GLOB VIS RAILW DEV
[2]  
[Anonymous], 2014, RAILW HDB 2014 EN CO
[3]   Energy is on board: Energy storage and other alternatives in modern light railways [J].
Arboleya P. ;
Bidaguren P. ;
Armendariz U. .
IEEE Electrification Magazine, 2016, 4 (03) :30-41
[4]   Optimal driving strategy for traction energy saving on DC suburban railways [J].
Bocharnikov, Y. V. ;
Tobias, A. M. ;
Roberts, C. ;
Hillmansen, S. ;
Goodman, C. J. .
IET ELECTRIC POWER APPLICATIONS, 2007, 1 (05) :675-682
[5]   Impact of aggregate linear load modeling on harmonic analysis: A comparison of common practice and analytical models [J].
Burch, R ;
Chang, G ;
Hatziadoniu, C ;
Grady, M ;
Liu, Y ;
Marz, M ;
Ortmeyer, T ;
Ranade, S ;
Ribeiro, P ;
Xu, W .
IEEE TRANSACTIONS ON POWER DELIVERY, 2003, 18 (02) :625-630
[6]   A novel VSC-HVDC link model for dynamic power system simulations [J].
Castro, Luis M. ;
Acha, Enrique ;
Fuerte-Esquivel, Claudio R. .
ELECTRIC POWER SYSTEMS RESEARCH, 2015, 126 :111-120
[7]   Constant-Power Load System Stabilization by Passive Damping [J].
Cespedes, Mauricio ;
Xing, Lei ;
Sun, Jian .
IEEE TRANSACTIONS ON POWER ELECTRONICS, 2011, 26 (07) :1832-1836
[8]   Optimising train movements through coast control using genetic algorithms [J].
Chang, CS ;
Sim, SS .
IEE PROCEEDINGS-ELECTRIC POWER APPLICATIONS, 1997, 144 (01) :65-73
[9]   Optimal Sizing of Energy Storage for Regenerative Braking in Electric Railway Systems [J].
de la Torre, Sebastian ;
Jose Sanchez-Racero, Antonio ;
Antonio Aguado, Jose ;
Reyes, Manuel ;
Martinez, Oliver .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2015, 30 (03) :1492-1500
[10]  
[丁勇 Ding Yong], 2011, [交通运输系统工程与信息, Journal of Transporation Systems Engineering & Information Technology], V11, P96