• DocumentCode
    2835473
  • Title

    Research on MPPT control of PV system based on PSO algorithm

  • Author

    Cheng, Ze ; Zhou, Hang ; Yang, Hongzhi

  • Author_Institution
    Sch. of Electr. Eng. & Autom., Tianjin Univ., Tianjin, China
  • fYear
    2010
  • fDate
    26-28 May 2010
  • Firstpage
    887
  • Lastpage
    892
  • Abstract
    Partially shaded conditions are common in all kinds of PV systems. The mismatch phenomenon not only affects the power generated by solar system, but also leads to security problem. Still, under partially shaded conditions, the P-V curve of PV arrays will have the characteristics of multi-summit, which makes the maximum power point tracking very difficult to accomplish. In this paper, the PSO algorithm is applied to the MPPT control algorithm in two different PV structure. Based on establishing the multi-peak model of the PV array under partially shaded condition, the multi-peak MPPT algorithm is designed. Through the introduction of modular structure, the distributed MPPT algorithm is presented. The effectiveness of the algorithm and the advantages and disadvantages of two different algorithms are examined using the MATLAB. At last, the hardware circuit of the control system with man-made partially shaded condition is constructed. The effectiveness and preciseness of the MPPT system is proved by the results of the experiments.
  • Keywords
    maximum power point trackers; particle swarm optimisation; photovoltaic power systems; power generation control; PSO algorithm; PV system; maximum power point tracking; multipeak MPPT control algorithm; particle swarm optimization algorithm; Algorithm design and analysis; Circuits; Control systems; Hardware; MATLAB; Mathematical model; Power generation; Power system security; Solar power generation; Solar system; AC Module; Maximum Power Point Tracking; PV System; Particle Swarm Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2010 Chinese
  • Conference_Location
    Xuzhou
  • Print_ISBN
    978-1-4244-5181-4
  • Electronic_ISBN
    978-1-4244-5182-1
  • Type

    conf

  • DOI
    10.1109/CCDC.2010.5498097
  • Filename
    5498097