• DocumentCode
    713430
  • Title

    Optimal siting and sizing of stationary supercapacitors in a metro network using PSO

  • Author

    Calderaro, Vito ; Galdi, Vincenzo ; Graber, Giuseppe ; Piccolo, Antonio

  • Author_Institution
    Dept. of Ind. Eng., Univ. of Salerno, Fisciano, Italy
  • fYear
    2015
  • fDate
    17-19 March 2015
  • Firstpage
    2680
  • Lastpage
    2685
  • Abstract
    In this paper, we investigate the design of stationary ESSs based on supercapacitors (SCs) for metro network (MN). We implement a simulation tool in order to estimate the power flow among the metro vehicles and the ESSs through the MN. A new formulation of the ESSs siting and sizing optimisation problem is proposed and solved using particle swarm algorithm. The optimisation process minimises the energy supplied by the electrical substations and the whole ESSs capacity taking into the electrical line constraints in the metro network simulator. Several simulations are performed in order to design the number, the position along the track and the required capacity of the SCs. Using commercially available modules, a realistic design solution is compared with the theoretical one obtained by solving the optimisation algorithm. Finally, we estimate the energy delivered from the electric substations and the energy saved using the real ESSs configuration.
  • Keywords
    battery storage plants; energy storage; load flow; particle swarm optimisation; substations; supercapacitors; vehicles; PSO; electrical substations; energy storage systems; metro network simulator; metro vehicles; particle swarm optimisation algorithm; power flow; simulation tool; stationary ESS; stationary supercapacitors; Algorithm design and analysis; Mathematical model; Optimization; Rail transportation; Resistance; Substations; Vehicles; PSO algorithm; energy storage; metro network; optimisation; regenerative braking; siting; sizing; supercapacitors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Technology (ICIT), 2015 IEEE International Conference on
  • Conference_Location
    Seville
  • Type

    conf

  • DOI
    10.1109/ICIT.2015.7125493
  • Filename
    7125493