• DocumentCode
    3163999
  • Title

    A PSO-based MPPT re-initialised by incremental conductance method for a standalone PV system

  • Author

    Mirbagheri, S.Z. ; Aldeen, M. ; Saha, S.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. of Melbourne, Melbourne, VIC, Australia
  • fYear
    2015
  • fDate
    16-19 June 2015
  • Firstpage
    298
  • Lastpage
    303
  • Abstract
    This paper presents a modified maximum power point tracker (MPPT) for a standalone PV system. In this research a Particle Swarm Optimization (PSO)-based method is re-initialised by a variable step size (VSS) incremental conductance (IncCond) MPPT. The main motivation in this research is to eliminate the output ripple, and also to shorten the tracking time in rapidly changing insolation condition (RCIC). Used in this study, PSO-based method, precisely designed based on the dynamic behaviors of introduced system. The functionality of proposed method is evaluated by MATLAB/SIMULINK. Compared to IncCond method, the advantage of proposed one is that the PV outputs are more accurate and much less ripple-plotted. In comparison with standard PSO-based MPPT method, the tracking time in this method is much shorter, notably under RCIC.
  • Keywords
    maximum power point trackers; particle swarm optimisation; photovoltaic power systems; PSO-based MPPT; RCIC; incremental conductance method; modified maximum power point tracker; output ripple elimination; particle swarm optimization; rapidly changing insolation condition; standalone PV system; Capacitors; Integrated circuit modeling; Mathematical model; Maximum power point trackers; Photonics; Semiconductor diodes; Voltage measurement; Incremental Conductance (IncCond); Maximum power Point Tracker (MPPT); Particle Swarm Optimization (PSO);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Automation (MED), 2015 23th Mediterranean Conference on
  • Conference_Location
    Torremolinos
  • Type

    conf

  • DOI
    10.1109/MED.2015.7158766
  • Filename
    7158766