• DocumentCode
    3254452
  • Title

    Photovoltaic array reconfiguration for maximum power transfer

  • Author

    Tria, Lew R Andrew ; Escoto, M.T. ; Odulio, Carl F Michael

  • Author_Institution
    Electr. & Electron. Eng. Inst., Univ. of the Philippines Diliman, Quezon City, Philippines
  • fYear
    2009
  • fDate
    23-26 Jan. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper, we developed a photovoltaic array reconfiguration algorithm to maximize the power that an array can provide a load. The algorithm reconfigures the array such that each element of the array is operated at its maximum power point. A switch topology was also designed to implement the algorithm using the minimum number of switches. Two parameters are used by the algorithm: array loaded voltage and temperature. The algorithm is tested on reconfiguring an array of four photovoltaic panels. The performance of the photovoltaic modules is studied with and without the switching algorithm. Simulations were also done to validate the performance of the system. Tests showed that for a constant resistance load, the algorithm can match the performance of other possible configurations and introduce a significant improvement in the output power of the array. For the constant current load, it was noted that the array can supply the required current at a minimum irradiance while for a constant voltage load, the system performed better than any of the possible configurations.
  • Keywords
    photovoltaic power systems; solar cell arrays; constant resistance load; maximum power point; maximum power transfer; photovoltaic array reconfiguration algorithm; photovoltaic panels; switch topology; Algorithm design and analysis; Current supplies; Photovoltaic systems; Power generation; Solar power generation; Switches; Temperature; Testing; Topology; Voltage; array reconfiguration; maximum power transfer; photovoltaics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2009 - 2009 IEEE Region 10 Conference
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-4546-2
  • Electronic_ISBN
    978-1-4244-4547-9
  • Type

    conf

  • DOI
    10.1109/TENCON.2009.5395965
  • Filename
    5395965