| Autor: |
H. Dissawa, D. M. Lasanthika, Agalgaonkar, Ashish P., Robinson, Duane A., Perera, Sarath, Godaliyadda, Roshan I., Ekanayake, Parakrama B., Ekanayake, Janaka B. |
| Předmět: |
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| Zdroj: |
International Workshop on Integration of Solar into Power Systems; 2018, p1-7, 7p |
| Abstrakt: |
This paper proposes a very-short-term PV power forecasting technique centred on cloud motion estimation employing ground-based sky images. Sequences of sky images taken from a wide-angle camera are processed to identify individual clouds separately and motion vectors of each cloud are identified using a cross-correlation based cloud motion tracking algorithm. Based on the cloud motion vectors, the cloud shadow movement is estimated. The drop in irradiance (and the associated PV power output) levels at a site, where the camera is fixed, is found using two methods namely ray tracing method and the direct method, which are based on the sun occlusion time calculation. By utilising the historical PV power/irradiance measurements with associated cloud and shadow movements, the PV power is forecasted for a 5 minutes ahead of time. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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