• DocumentCode
    620022
  • Title

    Research on integrated modeling method and maximum power point tracking control of photovoltaic systems

  • Author

    Shaowu Li ; Xianwen Gao ; Yuchang Feng ; Nan Hu

  • Author_Institution
    Sch. of Inf. Eng., Hubei Inst. for Nat., Enshi, China
  • fYear
    2013
  • fDate
    25-27 May 2013
  • Firstpage
    1942
  • Lastpage
    1946
  • Abstract
    To improve the energy sources efficiency, maximum power point tracking (MPPT) is usually used in the control of photovoltaic (PV) systems and is implemented by the buck converter, the boost converter and the buck-boost converter. In this article, through studying deeply the output current-voltage (V-I) characteristic of solar photovoltaic and the mathematic model of three basic DC/DC converters, an integrated modeling method interpreting the theoretical relationship between the output power and the control signal has been proposed by using MATLAB software. After building the integrated model, the ranges of output loads of PV MPPT systems with the three different DC/DC converter have been studied respectively. Finally, the three integrated MATLAB models have been built and the experimental studies have been conducted respectively. The results of simulation experiments have shown the feasibility, availability and convenience of research on MPPT control of PV systems by using this integrated modeling method.
  • Keywords
    maximum power point trackers; photovoltaic power systems; power system control; DC-DC converters; MATLAB; MPPT; V-I characteristic; buck-boost converter; current-voltage characteristic; energy sources efficiency; integrated modeling; maximum power point tracking control; photovoltaic systems; solar photovoltaic; DC-DC power converters; Load modeling; Mathematical model; Maximum power point trackers; Photovoltaic systems; Resistance; Topology; DC/DC converter; MATLAB; MPPT control; PV systems; integrated modeling method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2013 25th Chinese
  • Conference_Location
    Guiyang
  • Print_ISBN
    978-1-4673-5533-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2013.6561251
  • Filename
    6561251