A cyber-physical system approach for photovoltaic array monitoring and control
A cyber-physical system approach for photovoltaic array monitoring and control
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DOI：
10.1109/iisa.2017.8316458
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发表时间：
2017-08
期刊：
影响因子：
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通讯作者：
Sunil Rao;Sameeksha Katoch;P. Turaga;A. Spanias;C. Tepedelenlioğlu;R. Ayyanar;Henry Braun;Jongmin Lee;U. Shanthamallu;M. Banavar;Devarajan Srinivasan
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文献类型：
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作者：
Sunil Rao;Sameeksha Katoch;P. Turaga;A. Spanias;C. Tepedelenlioğlu;R. Ayyanar;Henry Braun;Jongmin Lee;U. Shanthamallu;M. Banavar;Devarajan Srinivasan
在本文中，我们描述了一种光伏阵列控制的数字物理系统方法。提出了一种机器学习和计算机视觉框架，通过利用本地天际线图像的视频分析、用于故障检测的定制机器学习方法以及在每个单独面板上感知数据和执行的监控设备来提高公用事业规模光伏阵列的可靠性。我们的方法承诺使用网络使能的感觉分析和融合来提高可再生能源系统的效率。
In this paper, we describe a Cyber-Physical system approach to Photovoltaic (PV) array control. A machine learning and computer vision framework is proposed for improving the reliability of utility scale PV arrays by leveraging video analysis of local skyline imagery, customized machine learning methods for fault detection, and monitoring devices that sense data and actuate at each individual panel. Our approach promises to improve efficiency in renewable energy systems using cyber-enabled sensory analysis and fusion.