• DocumentCode
    1895341
  • Title

    Photovoltaic power optimization using sliding mode control with a two-axis tracking system

  • Author

    ALQahtani, Ayedh H. ; Abuhamdeh, Muthanna S. ; Alsmadi, Yazan M. ; Utkin, Vadim I.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Ohio State Univ., Columbus, OH, USA
  • fYear
    2013
  • fDate
    21-23 May 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Optimal power tracking techniques are often employed to more effectively extract the power generated from photovoltaic (PV) modules. This paper examines the problem of adjusting PV module´s position to maximize the incident irradiation, and hence, the power. It introduces a two-axis rotation control mechanism to track a PV module´s maximum power based on the sun´s azimuth and elevation angles. The control mechanism uses the sliding mode control method of self-optimization without depending on the astronomical data for the sun trajectory. The power generated depends heavily on the solar intensity (irradiance); however, total irradiance on any inclined surface is the sum of direct irradiance, isotropic sky diffuse irradiance, and ground reflection. The proposed controller architecture efficiently maintains the power around an optimum value, by orienting a PV module to the corresponding azimuth and elevation optimal angles.
  • Keywords
    maximum power point trackers; photovoltaic power systems; power generation control; variable structure systems; elevation optimal angles; ground reflection; isotropic sky diffuse irradiance; optimal power tracking; photovoltaic power optimization; sliding mode control; solar intensity; solar irradiance; sun azimuth; sun trajectory; two-axis rotation control; two-axis tracking system; Azimuth; Computer architecture; Optimization; Photovoltaic systems; Sun; Vectors; Maximum power point (MPP); Photovoltaic modeling; Sliding mode control; Standard test condition (STC); Two-axis tracking system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energytech, 2013 IEEE
  • Conference_Location
    Cleveland, OH
  • Type

    conf

  • DOI
    10.1109/EnergyTech.2013.6645341
  • Filename
    6645341