• DocumentCode
    2600878
  • Title

    Maximum power point tricking control of solar photovoltaic power generation system based on model reference adaptive

  • Author

    Lei, Pan ; Wei, Gong ; Yinghong, Wang

  • Author_Institution
    Dept. of Electron & Inf. Eng., Tianjin Inst. of Urban Constr., Tianjin, China
  • fYear
    2009
  • fDate
    6-7 April 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this article, a new control algorithm of MPPT (maximum power point tracking) is proposed. The proposed algorithm takes the interaction between solar arrays, photovoltaic inverter, MPPT control, dc side dynamic model of solar arrays and the light intensity of the solar arrays into consideration. The algorithm is based on Lyapunov model reference adaptive control (MRAC). The algorithm provides a new method which could estimate the optimal output voltage, the optimal output current and maximum output power of solar arrays and photovoltaic inverter. Finally, an experimental platform which is mainly composed of DSP (TMS320F2812) and Cuk converter has been designed and the results of simulation and experiment show the feasibility and validity of the algorithm.
  • Keywords
    Lyapunov methods; adaptive control; invertors; photovoltaic power systems; power control; power generation control; solar power stations; Cuk converter; Lyapunov model reference adaptive control; TMS320F2812; dc side dynamic model; light intensity; maximum power point tricking control; photovoltaic inverter; solar arrays; solar photovoltaic power generation system; Adaptive control; Inverters; Lighting control; Optical arrays; Photovoltaic systems; Power generation; Power system modeling; Programmable control; Solar power generation; Voltage; CCM; Cuk converter; DSP; LRCM; MPPT; MRAC; energy saving; light intensity; simulation; solar arrays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4934-7
  • Type

    conf

  • DOI
    10.1109/SUPERGEN.2009.5348097
  • Filename
    5348097