Camera-based forecasting of insolation for solar systems
2015
With the transition towards renewable energies, electricity suppliers are faced with huge challenges. Especially the
increasing integration of solar power systems into the grid gets more and more complicated because of their dynamic
feed-in capacity. To assist the stabilization of the grid, the feed-in capacity of a solar power system within the next hours,
minutes and even seconds should be known in advance. In this work, we present a consumer camera-based system for
forecasting the feed-in capacity of a solar system for a horizon of 10 seconds. A camera is targeted at the sky and clouds
are segmented, detected and tracked. A quantitative prediction of the insolation is performed based on the tracked clouds.
Image data as well as truth data for the feed-in capacity was synchronously collected at one Hz using a small solar panel,
a resistor and a measuring device. Preliminary results demonstrate both the applicability and the limits of the proposed
system.
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