Cloud images capturing system for solar power level prediction

机译：云图像捕获太阳能电平预测系统

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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.

机译：太阳能已经接受了近期发电的潜在可再生能源之一的关注。净计量介绍和续订规定的增量鼓励在斯里兰卡的太阳能光伏系统使用。然而，太阳能的间歇性质已经成为太阳能基于基于太阳能的障碍之一，以集成到国家电网。由于不可预测的太阳能基于太阳能的发电厂是不可批量的，并且可能导致网络不稳定。通过高效且合理地准确的可预测模型，可以实现更好的系统平衡。太阳能光伏模块上的阴影导致产生的功率降低。阻挡太阳的云覆盖可以被确定为阴影中的主要贡献者。识别和跟踪云可用于最终预测太阳能光伏输出。本文提出了一种方法来获得云图像数据和算法来处理可用于预测云移动与太阳能光伏输出之间的关系的图像。

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《Moratuwa Engineering Research Conference》|2015年||共5页
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Rodrigo Asanka S.; Perera K.H.E.; Priyadharshana H.M.S.; Priyanka V.G.C.; Ranasinghe R.A.R.A.;
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中图分类输配电工程、电力网及电力系统;
关键词
OpenCV; camera protection system; cloud detection; image processing; solar tracking;

机译：OpenCV;相机保护系统;云检测;图像处理;太阳能跟踪;

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3. Short-term solar power forecasting: Investigating the ability of deep learning models to capture low-level utility-scale Photovoltaic system behaviour [J] . du Plessis A. A., Strauss J. M., Rix A. J. Applied Energy . 2021,第Mara1期

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Cloud images capturing system for solar power level prediction

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