• DocumentCode
    122580
  • Title

    Improved particle swarm optimization algorithm using average model on MPPT for partial shading in PV array

  • Author

    Jumpasri, Nattawat ; Pinsuntia, Kittapas ; Woranetsuttikul, Kaweepoj ; Nilsakorn, Taywin ; Khan-ngern, Werachet

  • Author_Institution
    Dept. of Electr. Eng., King Mongkut´s Inst. of Technol. Ladkrabang, Ladkrabang, Thailand
  • fYear
    2014
  • fDate
    19-21 March 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper presents the maximum power point tracking (MPPT) technique to improve the system operation during shading in photo voltaic array. This technique was based on the swarm optimization algorithm using average model. The algorithm has the simple topology and accuracy calculation. The PV system composed of the PV array, the synchronous buck-boost converter which can control the output voltage with the same polarity of both source and load. The PV array operating simulation was done by the PowerSim program where the MATLAB program simulates the particle swarm optimization with average model in various partial shading. Finally, the experimental results using average model show a fast response with good agreement of that simulation.
  • Keywords
    control engineering computing; maximum power point trackers; particle swarm optimisation; photovoltaic power systems; power engineering computing; power generation control; voltage control; MATLAB program; MPPT; PV array operating simulation; PowerSim program; average model; improved particle swarm optimization algorithm; maximum power point tracking technique; output voltage control; partial shading; photovoltaic array; synchronous buck-boost converter; system operation improvement; Arrays; Atmospheric measurements; Ear; Indexes; MATLAB; Nonhomogeneous media; Particle measurements; MPPT; PSO; PV; shading; synchronous Buck-Boost;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering Congress (iEECON), 2014 International
  • Conference_Location
    Chonburi
  • Type

    conf

  • DOI
    10.1109/iEECON.2014.6925856
  • Filename
    6925856