Title :
Cloud motion estimation for short term solar irradiation prediction
Author :
Hao Huang ; Jin Xu ; Zhenzhou Peng ; Shinjae Yoo ; Dantong Yu ; Dong Huang ; Hong Qin
Author_Institution :
Stony Brook Univ., Stony Brook, NY, USA
Abstract :
Variability of solar energy is the most significant issue for integrating solar energy into the power Grid. There are pressing demands to develop methods to accurately estimate cloud motion that directly affects the stability of solar power output.We propose a solar prediction system that can detect cloud movements from the TSI (total sky imager) images, and then estimate the future cloud position over solar panels and subsequent solar irradiance fluctuations incurred by cloud transients. The experiment studies show that our proposed approach significantly improves the quality of cloud motion estimation within a time window (up to a few minutes) that is sufficient for grid operators to take actions to mitigate the solar power volatility.
Keywords :
clouds; load forecasting; motion estimation; power engineering computing; power grids; power system stability; solar power stations; sunlight; TSI imaging; cloud motion estimation; cloud movement detection; cloud position estimation; power grid; short term solar irradiation prediction system; solar energy variability; solar power output stability; total sky imager imaging; Clouds; Correlation; Estimation; Motion detection; Motion estimation; Predictive models; Vectors;
Conference_Titel :
Smart Grid Communications (SmartGridComm), 2013 IEEE International Conference on
Conference_Location :
Vancouver, BC
DOI :
10.1109/SmartGridComm.2013.6688040