• DocumentCode
    1774465
  • Title

    Very-short term forecast of global horizontal irradiance based on ground-based sky imager and lifted condensation level calculation

  • Author

    Ding Yuyu ; Cheng Xu ; Cui Fang ; Zhu Xiang ; Zhou Hai

  • Author_Institution
    China Electr. Power Res. Inst., Nanjing, China
  • fYear
    2014
  • fDate
    23-26 Sept. 2014
  • Firstpage
    973
  • Lastpage
    978
  • Abstract
    This pa per presents a novel very-short term GHI prediction approach which combines ground-based sky images derived cloud map forecast and cloud base altitude estimated using lifted condensation level calculation. To achieve accurate cloud map forecast, a transformation of original sky images is proceeded to eliminate spherical and coordinate distortion. The cloud base height calculation i s adopted to derive real sizes and locations of clouds, and finally obtain very-short term forecast of the local global horizontal irradiance. The validation of the proposed method is carried out by comparing predicted and measured irradiance of a test site. The results show that the method has high prediction accuracy, and has ability to predict the radiation fluctuation caused by the cloud sheltering process.
  • Keywords
    clouds; remote sensing; solar power stations; sunlight; weather forecasting; cloud base altitude estimation; cloud base height calculation; cloud map forecast; cloud sheltering process; coordinate distortion elimination; global horizontal irradiance very-short term forecast; ground-based sky imager; lifted condensation level calculation; radiation fluctuation prediction; solar power generation; spherical distortion elimination; very-short term GHI prediction approach; Abstracts; Ear; Electricity; Energy measurement; Prediction methods; Soil measurements; Time measurement; global horizontal irradiance; ground-based sky imager; lifted condensation level; very-short term prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electricity Distribution (CICED), 2014 China International Conference on
  • Conference_Location
    Shenzhen
  • Type

    conf

  • DOI
    10.1109/CICED.2014.6991849
  • Filename
    6991849