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Proceedings Paper

Global velocity constrained cloud motion prediction for short-term solar forecasting
Author(s): Yanjun Chen; Wei Li; Chongyang Zhang; Chuanping Hu
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Paper Abstract

Cloud motion is the primary reason for short-term solar power output fluctuation. In this work, a new cloud motion estimation algorithm using a global velocity constraint is proposed. Compared to the most used Particle Image Velocity (PIV) algorithm, which assumes the homogeneity of motion vectors, the proposed method can capture the accurate motion vector for each cloud block, including both the motional tendency and morphological changes. Specifically, global velocity derived from PIV is first calculated, and then fine-grained cloud motion estimation can be achieved by global velocity based cloud block researching and multi-scale cloud block matching. Experimental results show that the proposed global velocity constrained cloud motion prediction achieves comparable performance to the existing PIV and filtered PIV algorithms, especially in a short prediction horizon.

Paper Details

Date Published: 28 September 2016
PDF: 6 pages
Proc. SPIE 9971, Applications of Digital Image Processing XXXIX, 99711U (28 September 2016); doi: 10.1117/12.2239468
Show Author Affiliations
Yanjun Chen, Shanghai Jiao Tong Univ. (China)
Wei Li, Shanghai Electric Power T&D Group (China)
Chongyang Zhang, Shanghai Jiao Tong Univ. (China)
Chuanping Hu, The Third Research Institute of Ministry of Public Security (China)


Published in SPIE Proceedings Vol. 9971:
Applications of Digital Image Processing XXXIX
Andrew G. Tescher, Editor(s)

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