• DocumentCode
    1632597
  • Title

    PSO and P&O based MPPT technique for SPV panel under varying atmospheric conditions

  • Author

    Suryavanshi, Rahul ; Joshi, Diwakar R. ; Jangamshetti, Suresh H.

  • Author_Institution
    Basaveshwar Eng. Coll., Bagalkot, India
  • fYear
    2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents Particle Swarm Optimization and Perturbation & Observation techniques to find the optimum operating parameters of a solar photovoltaic panel under varying atmospheric conditions. The terminal voltage, current and corresponding duty-cycle, at which the DC/DC converter should be switched to obtain maximum power output, are determined. Simulation of maximum power point tracking of a DSP210 solar panel is done, using both methods, in MATLAB. It is observed from the results that the particle swarm optimization based algorithm can track the maximum power point for the whole range of solar data (irradiance and temperature) and has high conversion performance.
  • Keywords
    digital signal processing chips; maximum power point trackers; particle swarm optimisation; perturbation techniques; photovoltaic power systems; DC/DC converter; DSP210 solar panel; MATLAB; P&O based MPPT; PSO; SPV panel; maximum power point tracking; particle swarm optimization; perturbation & observation techniques; solar data; solar photovoltaic panel; varying atmospheric conditions; Maximum Power Point Tracking (MPPT); Particle Swarm Optimization (PSO); Perturb & Observe (P&O); Solar PV panel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power, Signals, Controls and Computation (EPSCICON), 2012 International Conference on
  • Conference_Location
    Thrissur, Kerala
  • Print_ISBN
    978-1-4673-0446-7
  • Type

    conf

  • DOI
    10.1109/EPSCICON.2012.6175270
  • Filename
    6175270