Comparative study of two control techniques of regenerative braking power recovering inverter based DC railway substation

被引:5
作者
Krim, Youssef [1 ]
Almaksour, Khaled [1 ]
Caron, Herve [2 ]
Letrouve, Tony [3 ]
Saudemont, Christophe [1 ]
Francois, Bruno [1 ]
Robyns, Benoit [1 ]
机构
[1] Univ Lille, Arts & Metiers Inst Technol, Yncrea Hauts France, Cent Lille,ULR 2697,L2EP, F-59000 Lille, France
[2] SNCF Reseau, 6 Ave Francois Mitterrand, F-93574 La Plaine St Denis, France
[3] SNCF Direct Innovat & Rech, 1-3 Ave Francois Mitterrand, F-93574 La Plaine St Denis, France
来源
2020 22ND EUROPEAN CONFERENCE ON POWER ELECTRONICS AND APPLICATIONS (EPE'20 ECCE EUROPE) | 2020年
关键词
Electrical train; Regenerative power; Efficiency; Voltage Source Converter; Regulation; Control methods for electrical systems; SYSTEM;
D O I
10.23919/epe20ecceeurope43536.2020.9215770
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
This work is focused on the improving of the energy efficiency of electrical train in braking mode. The improvement is explored by integration and control of a reversible inverter in a DC power substation to inject the braking power from the DC railway electrical network to the AC transmission grid. This solution makes the power substation reversible. The objective of this study is to investigate a control strategy by adjustment of the catenary DC voltage by the inverter in order to recover the maximum of electric braking energy by keeping the DC voltage of the substation stable with a reference value. A comparative study of simulation results of the proposed control scheme with a droop control technique for the railway substation "Massena" in Paris is presented.
引用
收藏
页数:9
相关论文
共 13 条
  • [1] Comparison of dynamic models for a DC railway electrical network including an AC/DC bi-directional power station
    Almaksour, Khaled
    Krim, Youssef
    Kouassi, N'guessan
    Navarro, Nicolas
    Francois, Bruno
    Letrouve, Tony
    Saudemont, Christophe
    Taunay, Lionel
    Robyns, Benoit
    [J]. MATHEMATICS AND COMPUTERS IN SIMULATION, 2021, 184 : 244 - 266
  • [2] Almaksour K, 2019, EUR CONF POW ELECTR
  • [3] [Anonymous], 2017, P 6 INT C REN EN RES
  • [4] Arboleya P., 2019, ENERGIES, V12, P1
  • [5] Battery and supercapacitor for photovoltaic energy storage: a fuzzy logic management
    Cabrane, Zineb
    Ouassaid, Mohammed
    Maaroufi, Mohamed
    [J]. IET RENEWABLE POWER GENERATION, 2017, 11 (08) : 1157 - 1165
  • [6] Holmes K., 2008, PASSENGER TRANSPORT, V66
  • [7] Recuperation of Regenerative Braking Energy in Electric Rail Transit Systems
    Khodaparastan, Mahdiyeh
    Mohamed, Ahmed A.
    Brandauer, Werner
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 20 (08) : 2831 - 2847
  • [8] Intelligent droop control and power management of active generator for ancillary services under grid instability using fuzzy logic technology
    Krim, Youssef
    Abbes, Dhaker
    Krim, Saber
    Mimouni, Mohamed Faouzi
    [J]. CONTROL ENGINEERING PRACTICE, 2018, 81 : 215 - 230
  • [9] Classical vector, first-order sliding-mode and high-order sliding-mode control for a grid-connected variable-speed wind energy conversion system: A comparative study
    Krim, Youssef
    Abbes, Dhaker
    Krim, Saber
    Mimouni, Mohamed Faouzi
    [J]. WIND ENGINEERING, 2018, 42 (01) : 16 - 37
  • [10] Overview of current development in electrical energy storage technologies and the application potential in power system operation
    Luo, Xing
    Wang, Jihong
    Dooner, Mark
    Clarke, Jonathan
    [J]. APPLIED ENERGY, 2015, 137 : 511 - 536