• DocumentCode
    3581514
  • Title

    Problem-solving mismatching losses of photovoltaic (PV) system under partially shaded conditions

  • Author

    Syafaruddin

  • Author_Institution
    Dept. of Electr. Eng., Univ. Hasanuddin, Tamalanrea-Makassar, Indonesia
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    One of the recent concerns in the photovoltaic (PV) system practice is solving the mismatching losses due to the partially shaded conditions. Mismatching problems mean that the I-V and P-V curves between the shaded and non-shaded parts of PV module are totally different. Under mismatching condition, multiple local peaks can be observed in the PV module characteristics which pose difficulties for controllers to track the maximum point. To overcome such problems, current injection method is used to compensate the output current of the shaded part. The amount of injected current and to which part of this current being injected are determined by utilizing the intelligent network by means of Artificial Neural Network (ANN). The proposed method is always end up with single local maximum point that makes the optimum point can be easily identified using conventional controller.
  • Keywords
    intelligent networks; neural nets; photovoltaic power systems; power engineering computing; power generation control; problem solving; solar cell arrays; ANN; I-V curves; P-V curves; PV module characteristics; PV system; artificial neural network; current injection method; intelligent network; mismatching problems; photovoltaic system; problem-solving mismatching losses; Artificial neural networks; Australia; Medical services; ANN; PV module; current sources; mismatching problem; partially shaded conditions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering and Informatics (MICEEI), 2014 Makassar International Conference on
  • Print_ISBN
    978-1-4799-6725-4
  • Type

    conf

  • DOI
    10.1109/MICEEI.2014.7067298
  • Filename
    7067298