• DocumentCode
    739639
  • Title

    A Wavelet-Based Variability Model (WVM) for Solar PV Power Plants

  • Author

    Lave, Matthew ; Kleissl, Jan ; Stein, Joshua S.

  • Author_Institution
    Mech. & Aerosp. Eng. Dept., Univ. of California, San Diego, La Jolla, CA, USA
  • Volume
    4
  • Issue
    2
  • fYear
    2013
  • fDate
    4/1/2013 12:00:00 AM
  • Firstpage
    501
  • Lastpage
    509
  • Abstract
    A wavelet variability model (WVM) for simulating solar photovoltaic (PV) power plant output given a single irradiance point sensor timeseries using spatio-temporal correlations is presented. The variability reduction (VR) that occurs in upscaling from the single point sensor to the entire PV plant at each timescale is simulated, then combined with the wavelet transform of the point sensor timeseries to produce a simulated power plant output. The WVM is validated against measurements at a 2-MW residential rooftop distributed PV power plant in Ota City, Japan and at a 48-MW utility-scale power plant in Copper Mountain, NV. The WVM simulation matches the actual power output well for all variability timescales, and the WVM compares well against other simulation methods.
  • Keywords
    photovoltaic power systems; solar power stations; wavelet transforms; Copper Mountain; Japan; NV; Ota City; WVM; power 2 MW; power 48 MW; residential rooftop distributed PV power plant; single irradiance point sensor timeseries; single point sensor; solar photovoltaic power plant; spatio-temporal correlations; utility-scale power plant; variability reduction; wavelet transform; wavelet-based variability model; Cities and towns; Clouds; Copper; Correlation; Indexes; Power generation; Wavelet transforms; Geographic dispersion; photovoltaic (PV); solar; upscaling; variability; wavelets;
  • fLanguage
    English
  • Journal_Title
    Sustainable Energy, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3029
  • Type

    jour

  • DOI
    10.1109/TSTE.2012.2205716
  • Filename
    6269913