DocumentCode :
709787
Title :
Cloud images capturing system for solar power level prediction
Author :
Rodrigo, Asanka S. ; Perera, K.H.E. ; Priyadharshana, H.M.S. ; Priyanka, V.G.C. ; Ranasinghe, R.A.R.A.
Author_Institution :
Dept. of Electr. Eng., Univ. of Moratuwa, Moratuwa, Sri Lanka
fYear :
2015
fDate :
7-8 April 2015
Firstpage :
301
Lastpage :
305
Abstract :
Solar energy has received increasing attention as one of the potential renewable energy sources for power generation in recent past. Introduction of Net Metering and the increment in provision for renewabIes encouraged the usage of Solar PV systems in Sri Lanka. However, the intermittent nature of solar energy has become one of the barriers for solar energy based power to be integrated to the national power grids. Due to unpredictability solar energy based power plants are non-dispatchable and can cause network instability. With an efficient and reasonably accurate predictable model, a better system balance can be achieved. Shadowing on solar PV modules results in reduction of power produced. Cloud coverage blocking the sun can be identified as the major contributor in shadowing. Identifying and tracking the clouds can be used to finally predict the solar PV output. This paper presents a methodology to obtain cloud image data and an algorithm to process the images which can be used to predict the relationship between the cloud movements and the solar PV output.
Keywords :
clouds; image capture; modules; power grids; solar power stations; Sri Lanka; cloud coverage; cloud images capturing system; net metering; power generation; power grid; renewable energy source; shadowing; solar PV system; solar energy power plant; solar photovoltaic module; solar power level prediction; Cameras; Clouds; Image segmentation; Lenses; Power generation; Shadow mapping; Sun; OpenCV; camera protection system; cloud detection; image processing; solar tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Moratuwa Engineering Research Conference (MERCon), 2015
Conference_Location :
Moratuwa
Type :
conf
DOI :
10.1109/MERCon.2015.7112363
Filename :
7112363
Link To Document :
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