• DocumentCode
    3342975
  • Title

    Quantifying solar power variability for a large central PV plant and small distributed PV plant

  • Author

    Moaveni, Houtan ; Click, David K. ; Meeker, Richard H. ; Reedy, Robert M. ; Pappalardo, Alfio

  • Author_Institution
    Florida Solar Energy Center, Univ. of Central Florida, Cocoa, FL, USA
  • fYear
    2013
  • fDate
    16-21 June 2013
  • Abstract
    Photovoltaic energy is susceptible to high variability, caused by passing clouds that may affect a site´s daily energy production substantially. The reduction in solar variability due to geographic diversity was compared for a large central PV plant and small distributed PV plants using a multistep approach. At short timescales, geographic smoothing offers a strong benefit, which decreases with longer timescales and increased spatial correlation. The design attributes and relative locations of individual PV systems on a distribution feeder could significantly change the geographic dispersion effects.
  • Keywords
    distributed power generation; photovoltaic power systems; distribution feeder; geographic dispersion effects; geographic diversity; geographic smoothing; large central photovoltaic plant; multistep approach; small distributed photovoltaic plant; solar power variability; spatial correlation; Coherence; Correlation; Fluctuations; Indexes; Smoothing methods; Wavelet transforms; Solar power variability; geographic smoothing; high PV penetration; metrics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Photovoltaic Specialists Conference (PVSC), 2013 IEEE 39th
  • Conference_Location
    Tampa, FL
  • Type

    conf

  • DOI
    10.1109/PVSC.2013.6744303
  • Filename
    6744303