On-line monitoring system of PV array based on internet of things technology

被引：16

作者：

Li, Y. F. ^{[1
,2
]}

Lin, P. J. ^{[1
,2
]}

Zhou, H. F. ^{[1
,2
]}

Chen, Z. C. ^{[1
,2
]}

Wu, L. J. ^{[1
,2
]}

Cheng, S. Y. ^{[1
,2
]}

Su, F. P. ^{[1
,2
]}

机构：

[1] Fuzhou Univ, Coll Phys & Informat Engn, Inst Micro Nano Devices & Solar Cells, Fuzhou 350116, Fujian, Peoples R China

[2] Jiangsu Collaborat Innovat Ctr Photovolta Sci & E, Changzhou 213164, Peoples R China

来源：

2017 INTERNATIONAL CONFERENCE ON NEW ENERGY AND FUTURE ENERGY SYSTEM (NEFES 2017) | 2017年 / 93卷

关键词：

D O I：

10.1088/1755-1315/93/1/012078

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

The Internet of Things (IoT) Technology is used to inspect photovoltaic (PV) array which can greatly improve the monitoring, performance and maintenance of the PV array. In order to efficiently realize the remote monitoring of PV operating environment, an on-line monitoring system of PV array based on IoT is designed in this paper. The system includes data acquisition, data gateway and PV monitoring centre (PVMC) website. Firstly, the DSP-TMS320F28335 is applied to collect indicators of PV array using sensors, then the data are transmitted to data gateway through ZigBee network. Secondly, the data gateway receives the data from data acquisition part, obtains geographic information via GPS module, and captures the scenes around PV array via USB camera, then uploads them to PVMC website. Finally, the PVMC website based on Laravel framework receives all data from data gateway and displays them with abundant charts. Moreover, a fault diagnosis approach for PV array based on Extreme Learning Machine (ELM) is applied in PVMC. Once fault occurs, a user alert can be sent via E-mail. The designed system enables users to browse the operating conditions of PV array on PVMC website, including electrical, environmental parameters and video. Experimental results show that the presented monitoring system can efficiently real-time monitor the PV array, and the fault diagnosis approach reaches a high accuracy of 97.5%.

引用

页数：12

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