• DocumentCode
    161268
  • Title

    Photovoltaic power generation hourly modelling

  • Author

    Hellman, Hannu-Pekka ; Koivisto, Matti ; Lehtonen, Matti

  • Author_Institution
    Helen Electr. Network Ltd., Helsinki, Finland
  • fYear
    2014
  • fDate
    12-14 May 2014
  • Firstpage
    269
  • Lastpage
    272
  • Abstract
    With the increase of solar power production, the modelling of this generation has to be considered in distribution network planning and operation. The purpose of this paper is to present a model that can estimate the hourly energy produced by a solar module in different sunshine conditions. The output power of a solar module is mainly dependent on solar radiation, temperature of the solar cell, and the technical properties of the module. The most complex of these is the solar radiation and how it changes in real sky and weather conditions. To model the solar radiation in southern Finland area, measured hourly long term radiation and sunshine data was obtained from the Finnish Meteorological Institution. With these data a regression model for solar irradiation was constructed and used for the power generation model. The solar irradiation model manages to estimate the irradiation quite well especially for a horizontal surface.
  • Keywords
    photovoltaic power systems; power distribution planning; regression analysis; solar cells; solar radiation; Finnish Meteorological Institution; distribution network planning; photovoltaic power generation hourly modelling; regression model; solar irradiation; solar module; solar power production; solar radiation; southern Finland area; sunshine conditions; sunshine data; weather conditions; Atmospheric modeling; Data models; Load modeling; Mathematical model; Radiation effects; Solar radiation; Temperature measurement; load modelling; photovoltaic generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Power Engineering (EPE), Proccedings of the 2014 15th International Scientific Conference on
  • Conference_Location
    Brno
  • Type

    conf

  • DOI
    10.1109/EPE.2014.6839426
  • Filename
    6839426