光伏系统
断层(地质)
电压
功率(物理)
电子工程
模块化(生物学)
工程类
直线(几何图形)
可扩展性
计算机科学
控制理论(社会学)
电气工程
控制(管理)
几何学
数学
地震学
人工智能
地质学
物理
生物
数据库
量子力学
遗传学
作者
Yi Yang,Alex Chun-For Liu,Henry Shu-Hung Chung,Ricky Wing-Hong Lau,Mengjie Zhang,W.L. Lo
出处
期刊:IEEE Transactions on Power Electronics
[Institute of Electrical and Electronics Engineers]
日期:2016-02-01
卷期号:31 (2): 1588-1599
被引量:74
标识
DOI:10.1109/tpel.2015.2424079
摘要
A fault diagnosis technique for photovoltaic (PV) panels is presented. While a PV system is sampling the terminal voltage and current of its connected panel for tracking the maximum power point of the panels, the proposed technique utilizes the sampled data to estimate the intrinsic parameters of the panel simultaneously. Compared with the prior-art approach of using the static current-voltage characteristics, the proposed technique utilizes the dynamic current-voltage characteristics to determine the parameters. Apart from the fast parameter estimation, it also provides an in-depth understanding of the panel condition with the drift of the parameters. Several prototype devices with the proposed algorithm have been built. They are evaluated on a test bed with four 80-W panels, with two of them being healthy and the other two having different degrees of damage on the surfaces. Results reveal that the parameters of the cracked panels deviate significantly from their nominal values, giving a sign of panel failure. Furthermore, the device can communicate with and send the estimated parameters to the central control center over the panel cable via power line communication. The merits of this concept lie in its modularity, scalability, and remote fault diagnosis capability.
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