Novel Control Method for Improving Energy Efficiency of DC Electric Railways

被引:0
作者
Alnuman, Hammad [1 ]
Gladwin, Daniel T. [1 ]
Foster, Martin P. [1 ]
机构
[1] Univ Sheffield, Dept Elect & Elect Engn, Sheffield, S Yorkshire, England
来源
2019 IEEE 15TH INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION (ICCA) | 2019年
关键词
Braking resistors; battery; electric railways; energy storage system; regenerative braking; supercapacitor; STORAGE-SYSTEM; MANAGEMENT;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In DC electric railways, trains dissipate excess regenerative braking energy in braking resistors. This energy cannot be recovered and increases the temperature inside the underground tunnels requiring further energy for cooling. Consequently, it is beneficial to use energy storage systems (ESSs) to capture the regenerative energy and release it back to the trains when needed. ESSs have been shown in literature to enable energy saving, reduce peak demand, and minimise voltage peaks and troughs. This paper focuses on the high power and high energy requirements of the ESS that exceed the capabilities (within physical and cost constraints) of the state of the art storage technologies such as batteries. In this study it is discussed how batteries can be combined with supercapacitors to create a Hybrid ESS (HESS) that has high energy and high power capability. The limitations of using such a system in this application are discussed and a novel control method is proposed to maximise potential gains. This novel control method is implemented as an electrical model of a DC electric railway that is designed using Matlab. The simulation results indicate that the proposed control methodology can increase the energy efficiency of the DC electric railway while minimising the ESS size, cost, and degradation.
引用
收藏
页码:91 / 96
页数:6
相关论文
共 11 条
[1]   Electrical Modelling of a DC Railway System with Multiple Trains [J].
Alnuman, Hammad ;
Gladwin, Daniel ;
Foster, Martin .
ENERGIES, 2018, 11 (11)
[2]   Optimal Operation of Electric Railways With Renewable Energy and Electric Storage Systems [J].
Antonio Aguado, Jose ;
Sanchez Racero, Antonio Jose ;
de la Torre, Sebastian .
IEEE TRANSACTIONS ON SMART GRID, 2018, 9 (02) :993-1001
[3]   An Improved Energy Management Strategy for Hybrid Energy Storage System in Light Rail Vehicles [J].
Cheng, Long ;
Wang, Wei ;
Wei, Shaoyuan ;
Lin, Hongtao ;
Jia, Zhidong .
ENERGIES, 2018, 11 (02)
[4]   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
[5]  
Elsayed W., 2016, 2016 IEEE INT POW EL
[6]   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
[7]  
Graber G, 2016, 2016 INTERNATIONAL CONFERENCE ON ELECTRICAL SYSTEMS FOR AIRCRAFT, RAILWAY, SHIP PROPULSION AND ROAD VEHICLES & INTERNATIONAL TRANSPORTATION ELECTRIFICATION CONFERENCE (ESARS-ITEC)
[8]   Optimal Energy Management and Sizing of a Battery-Supercapacitor-Based Light Rail Vehicle With a Multiobjective Approach [J].
Isaac Herrera, Victor ;
Gaztanaga, Haizea ;
Milo, Aitor ;
Saez-de-Ibarra, Andoni ;
Etxeberria-Otadui, Ion ;
Nieva, Txomin .
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2016, 52 (04) :3367-3377
[9]  
Khodinskaya-Golenishcheva M., 2018, Aziya I Afrika segodnya, P1
[10]  
Moghbeli H., 2016, 2016 7 POW EL DRIV S