• DocumentCode
    3086201
  • Title

    A voltage sensing approach for a maximum power tracking in integrated photovoltaic applications

  • Author

    Cavallaro, C. ; Chimento, F. ; Musumeci, S. ; Raciti, A.

  • Author_Institution
    Dept. of Electr., Electron. & Syst. Eng., Univ. of Catania, Catania, Italy
  • fYear
    2009
  • fDate
    9-11 June 2009
  • Firstpage
    691
  • Lastpage
    698
  • Abstract
    The main aim of this paper is the analysis and experimental evaluation of the performance of a photovoltaic power plant controlled by a dedicated algorithm. This is devoted to the search of the maximum power point during the energy conversion of the photovoltaic panels. The proposed approach uses a control strategy that does not requires the current sensing, which is a main cause of noises, errors and delays during the step by step detection of the working point. Modeling of both the power source and the switching converter is a key step for the implementation of the voltage sensing tracking routine. The proposed algorithm has been implemented in a 8-bit microcontroller. A SEPIC converter topology is the core of the experimental workbench that has been realized with 100 W as rated power. The experimental analyses show a very low noise in the signal sensing and a very fast response of the whole system. This is able to reach suitable working points in less than 100 ms after the a perturbation occurred. The achieved results led to consider this set-up appropriate for a system that is composed by a PV module and an integrated DC-DC converter.
  • Keywords
    DC-DC power convertors; electric sensing devices; photovoltaic power systems; power generation control; switching convertors; tracking; 8-bit microcontroller; PV module; SEPIC converter topology; energy conversion; integrated DC-DC converter; integrated photovoltaic application; maximum power tracking; photovoltaic power plant control; power 100 W; switching converter; voltage sensing approach; Algorithm design and analysis; Delay; Energy conversion; Error correction; Performance analysis; Photovoltaic systems; Power generation; Solar power generation; Switching converters; Voltage; PV plants; integrated PV converters; maximum power tracking; microcontroller based algorithm; voltage sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Clean Electrical Power, 2009 International Conference on
  • Conference_Location
    Capri
  • Print_ISBN
    978-1-4244-2543-3
  • Electronic_ISBN
    978-1-4244-2544-0
  • Type

    conf

  • DOI
    10.1109/ICCEP.2009.5211955
  • Filename
    5211955