基于低成本天空成像仪的云运动跟踪系统用于光伏发电斜坡率控制

Can Zhang, Yang Du, Xiaoyang Chen, D. Lu
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引用次数: 14

摘要

经过的云导致太阳辐照度的快速变化。随着光伏系统安装量的大幅增加,光伏发电输出的间歇性问题引起了人们的严重关注。因此,引入了功率斜坡速率控制(PRRC)作为调节,以避免显著的功率波动。这些要求推动了对短期光伏发电预测需求的增长。天空成像仪已被用作预测云的运动,进而预测PV功率的有效工具。然而,天空成像仪系统的高成本和较长的图像处理延迟仍然阻碍了其在中国的应用。本文设计并开发了一种低成本的云运动跟踪系统。实现了亚分钟级的超短期云动预报,可用于prc应用。该方法通过对多个云质心的跟踪,提高了预测精度。实际实验结果验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cloud motion tracking system using low-cost sky imager for PV power ramp-rate control
Passing cloud results in rapid changes in solar irradiance. The intermittency of PV power output has drawn serious concern as the PV system installation increases significantly. Consequently, power ramp-rate control (PRRC) is introduced as the regulation to avoid significant power fluctuations. These requirements are driving an increasing demand for short-term PV power forecasting. Sky imager has been used as an effective tool to predict the cloud motion, then to forecast the PV power. However, the high cost of sky imager system and long image processing delay are still hindering its application in PRRC. In this paper, a low-cost cloud motion tracking system has been designed and developed. Ultra short-term cloud motion forecasting has been achieved in sub-minute level which can be used in PRRC application. The proposed method improves the forecasting accuracy by multiple cloud centroids tracking. The effectiveness of the proposed method has been verified by the practical experiment results.
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