在阴霾天气条件下,利用晴空指数和基于 ML 的输出功率预测,为双轴跟踪器提供自适应控制系统

IF 9.6 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Energy and AI Pub Date : 2024-10-16 DOI:10.1016/j.egyai.2024.100432
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引用次数: 0

摘要

人工智能在可再生能源系统中的应用提高了能源发电量,改善了能源系统管理。许多太阳能跟踪器的控制系统都是针对最大辐射功率条件设计的,性能指标还算不错,但在天气条件急剧变化或阴天时,由于运动部件和低辐照度,太阳能跟踪器的性能就会下降。一些研究表明,与太阳能跟踪系统相比,水平配置的散射太阳辐射能产生更多能量。这项工作展示了在不同天气条件和阴天下使用太阳能跟踪系统的可能性。为了实现这些目标,我们为具有天文跟踪功能的双轴太阳能跟踪器开发了一种新的自适应控制系统,该系统在特定天气条件下使用水平配置方面不同于传统的控制系统。利用晴空指数(CSI)对时空天气条件进行了评估,并对太阳能电池板的功率输出进行了预测。研究发现,在 CSI 值为 0.4 时,水平配置显示出比太阳能跟踪系统更高的功率输出,为利用阈值进行自适应控制提供了可能性。与水平配置、单轴和双轴太阳能跟踪器相比,所开发系统的效率分别提高了 18.3%、14.9% 和 10.01%。
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Adaptive control systems for dual axis tracker using clear sky index and output power forecasting based on ML in overcast weather conditions
The use of artificial intelligence in renewable energy systems increases energy generation and improves energy system management. The control system of many solar trackers is designed for maximum radiation power conditions and shows decent performance indicators, but during rapidly changing weather conditions or cloudy days, the performance of the solar trackers is reduced due to moving parts and low irradiance. Some studies show that the horizontal configuration produces more energy with scattered solar radiation than solar tracking systems. This work shows the possibility of using solar tracking systems under different weather conditions and cloudy days. To achieve the goals, a new adaptive control system for dual-axis solar trackers with astronomical tracking was developed, which differs from traditional controls in the use of horizontal configurations under certain weather conditions. The assessment of spatio-temporal weather conditions was carried out using the Clear Sky Index (CSI) and was complemented by forecasting the panel's power output. The study found that at 0.4 CSI values, the horizontal configuration exhibits higher power output than solar tracking systems, providing the potential to use the threshold for adaptive control. The developed system is more efficient by 18.3 %, 14.9 %, and 10.01 % than the horizontal configuration, single-axis, and dual-axis solar trackers.
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来源期刊
Energy and AI
Energy and AI Engineering-Engineering (miscellaneous)
CiteScore
16.50
自引率
0.00%
发文量
64
审稿时长
56 days
期刊最新文献
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