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Assessment of solar irradiance in Large-Scale Photovoltaic fields by means of video processing

机译:通过视频处理评估大型光伏领域中的太阳辐照度

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Photovoltaic (PV) technology has experienced rapid growth over the last 10 years. Although PV has positioned itself at the forefront of renewable energy technologies, further work needs to be done to improve energy efficiency. PV plants efficiency is considerably affected by partial shading originating in clouds and adjacent PV panels. The goal of this paper is to solve the problem of "Partial Shaded Large-Scale PV Plants". Utilizing already existing surveillance cameras, we estimate the solar irradiation of predefined grid in means of image processing. Based on this data, interpolation is performed to estimate the irradiation of each point in the PV field. We further process the data to estimate the position and velocity of shading objects such as clouds. The assessment of the irradiation could be further utilized to estimate the instantaneous power point of each PV panel. This knowledge could then be used to enhance the maximum power point of the field by using meandering methods. The characteristics of the shading objects could also be used to estimate future power drop of the field.
机译:光伏(PV)技术在过去10年中经历了快速的增长。尽管光伏已将自己定位在可再生能源技术的最前沿,但仍需要做更多的工作来提高能源效率。光伏电站的效率受到云和相邻光伏面板中部分阴影的影响很大。本文的目的是解决“部分阴影的大型光伏电站”的问题。利用已经存在的监视摄像机,我们可以通过图像处理来估计预定义网格的太阳辐射。基于此数据,执行插值以估计PV场中每个点的照射。我们进一步处理数据以估计阴影对象(例如云)的位置和速度。辐照的评估可进一步用于估算每个PV面板的瞬时功率点。然后,可以使用曲折方法将这些知识用于增强磁场的最大功率点。阴影对象的特性还可以用于估计该场的未来功率下降。

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