Route Profile Dependent Tram Regenerative Braking Algorithm with Reduced Impact on the Supply Network

被引：3
作者：
Radas, Ivan [1 ]
Zupan, Ivan [1 ]
Sunde, Viktor [1 ]
Ban, Zeljko [1 ]
机构：
[1] Univ Zagreb, Fac Elect Engn & Comp, Zagreb 10000, Croatia
来源：
ENERGIES | 2021年 / 14卷 / 09期
关键词：
regenerative braking; supercapacitor; energy storage system; energy control algorithm; track elevation profile; ENERGY-STORAGE DEVICES; CONTROL STRATEGIES; SYSTEMS; SUPERCAPACITORS; EFFICIENCY;
D O I：
10.3390/en14092411
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Electric trams are one of the standard forms of public transport. They are characterized by large amounts of electric current and electric current gradient from the power grid, especially during acceleration. For this reason, a regenerative braking system is considered with the aim of reducing electric current peaks and increasing energy efficiency by reducing the total energy consumption of the power grid. A supercapacitor module is used as a storage device for storing and utilizing the braking energy. The supercapacitor module and the power grid constitute a hybrid energy system, for which a control algorithm has been developed. The control algorithm takes into account the influence of the elevation profile and the slope of the vehicle route in storing and using the braking energy. The operation of the algorithm was simulated and analyzed using the MATLAB/Simulink software package for tram lines with different elevation profiles.
引用
收藏
页数：22
相关论文
共 29 条
[1]   A Comprehensive Review of Hybrid Energy Storage Systems: Converter Topologies, Control Strategies and Future Prospects [J].
Babu, Thanikanti Sudhakar ;
Vasudevan, Krishnakumar R. ;
Ramachandaramurthy, Vigna K. ;
Sani, Suleiman Bala ;
Chemud, Sansubari ;
Lajim, Rosli Mat .
IEEE ACCESS, 2020, 8 :148702-148721
[2]   Energy storage systems to exploit regenerative braking in DC railway systems: Different approaches to improve efficiency of modern high-speed trains [J].
Ceraolo, M. ;
Lutzemberger, G. ;
Meli, E. ;
Pugi, L. ;
Rindi, A. ;
Pancari, G. .
JOURNAL OF ENERGY STORAGE, 2018, 16 :269-279
[3]   Path Following Control of Autonomous Four-Wheel-Independent-Drive Electric Vehicles via Second-Order Sliding Mode and Nonlinear Disturbance Observer Techniques [J].
Chen, Jiancheng ;
Shuai, Zhibin ;
Zhang, Hui ;
Zhao, Wanzhong .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2021, 68 (03) :2460-2469
[4]   Optimal Control of Stationary Lithium- Ion Capacitor-Based Storage Device for Light Electrical Transportation Network [J].
Ciccarelli, Flavio ;
Iannuzzi, Diego ;
lauria, Davide ;
Natale, Pasquale .
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2017, 3 (03) :618-631
[5]   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
[6]   Ultracapacitor model with automatic order selection and capacity scaling for dynamic system simulation [J].
Dougal, RA ;
Gao, L ;
Liu, S .
JOURNAL OF POWER SOURCES, 2004, 126 (1-2) :250-257
[7]   An assessment of available measures to reduce traction energy use in railway networks [J].
Douglas, Heather ;
Roberts, Clive ;
Hillmansen, Stuart ;
Schmid, Felix .
ENERGY CONVERSION AND MANAGEMENT, 2015, 106 :1149-1165
[8]   Review of Application of Energy Storage Devices in Railway Transportation [J].
Ghaviha, Nima ;
Campillo, Javier ;
Bohlin, Markus ;
Dahlquist, Erik .
8TH INTERNATIONAL CONFERENCE ON APPLIED ENERGY (ICAE2016), 2017, 105
[9]   Sustainable urban rail systems: Strategies and technologies for optimal management of regenerative braking energy [J].
Gonzalez-Gil, Arturo ;
Palacin, Roberto ;
Batty, Paul .
ENERGY CONVERSION AND MANAGEMENT, 2013, 75 :374-388
[10]   Control Strategies with Dynamic Threshold Adjustment for Supercapacitor Energy Storage System Considering the Train and Substation Characteristics in Urban Rail Transit [J].
Lin, Fei ;
Li, Xuyang ;
Zhao, Yajie ;
Yang, Zhongping .
ENERGIES, 2016, 9 (04)
123