• DocumentCode
    3444395
  • Title

    Probabilistic energy performance comparison among flat and tracking PV systems

  • Author

    Tina, G.M. ; Graditi, G. ; Gagliano, S. ; Merola, A.

  • Author_Institution
    D.I.E.E.S., Univ. di Catania, Catania, Italy
  • fYear
    2010
  • fDate
    14-16 June 2010
  • Firstpage
    169
  • Lastpage
    174
  • Abstract
    This paper presents an energy performance study based on probabilistic model for the power produced by a PhotoVoltaic System (PVS). Three different PVSs configurations have been studied and compared: flat, one-axis and two axis tracking systems. In particular, the impact of a tracking system on the probability density function (PDF) of the power produced by a PVS has been evaluated through the first fourth moments (mean, variance, skewness and kurtosis) of a PDF. The simulations results have been compared with experimental data related to a 9.6 kWp PV plant installed in ENEA research center located in Portici, Napoli (Italy).
  • Keywords
    performance evaluation; photovoltaic power systems; probability; tracking; PDF; energy performance; flat PV systems; photovoltaic system; power production; probabilistic model; probability density function; tracking system; AC generators; Automation; Character generation; Photovoltaic systems; Power electronics; Power generation; Power system modeling; Probability density function; Solar power generation; Solar radiation; PV systems; energy performance; flat; probabilistic model; tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics Electrical Drives Automation and Motion (SPEEDAM), 2010 International Symposium on
  • Conference_Location
    Pisa
  • Print_ISBN
    978-1-4244-4986-6
  • Electronic_ISBN
    978-1-4244-7919-1
  • Type

    conf

  • DOI
    10.1109/SPEEDAM.2010.5542210
  • Filename
    5542210