• DocumentCode
    3082353
  • Title

    Sizing optimization of PV-FC-Battery system with hybrid PSO-EO algorithm

  • Author

    Biswas, Ishita ; Dash, Vaishalee ; Bajpai, Prabodh

  • Author_Institution
    Dept. of Electr. Eng., Indian Inst. of Technol. Kharagpur, Kharagpur, India
  • fYear
    2012
  • fDate
    7-9 Dec. 2012
  • Firstpage
    869
  • Lastpage
    874
  • Abstract
    One of the most important issue in designing of renewable hybrid energy systems is to size the system components optimally to meet load requirement with minimum annualized cost of system and maximum reliability of power supply. This paper presents comparison of two approaches for calculating optimal size of hybrid energy system components with minimum annualized cost considering reliability constraint. In this paper an extremal optimization based particle swarm optimization algorithm has been proposed to determine optimal size of system components. To demonstrate the validity of proposed approach and to evaluate relative merit of this approach, a comparative study has been done with simple particle swarm optimization algorithm considering identical system configuration. The simulation results show that the optimal system components can deliver energy in a stand -alone installation with minimum system cost and maximum reliability.
  • Keywords
    fuel cell power plants; hybrid power systems; particle swarm optimisation; photovoltaic power systems; power generation reliability; PV-FC-battery system; hybrid PSO-EO algorithm; hybrid energy system components; identical system configuration; maximum reliability; optimal system components; particle swarm optimization algorithm; power supply; renewable hybrid energy systems; sizing optimization; stand-alone installation; system cost; Batteries; Energy management; Fuel cells; Hydrogen; Optimization; Reliability; System-on-a-chip; Energy Management; Extremal optimization; Hybrid System; Optimization; Particle swarm optimization; Sizing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    India Conference (INDICON), 2012 Annual IEEE
  • Conference_Location
    Kochi
  • Print_ISBN
    978-1-4673-2270-6
  • Type

    conf

  • DOI
    10.1109/INDCON.2012.6420739
  • Filename
    6420739