Fault diagnosis and operation and maintenance of PV components based on BP neural network with data cloud acquisition
文献类型：会议论文
| 作者 | Zhou, Bowen3; Li, Yanan1; Wang ZF(王忠锋)2,4 ; Li LG(李力刚)2,4; Yang, Xiao3; Guan, Ming1
|
| 出版日期 | 2018 |
| 会议日期 | November 19-21, 2018 |
| 会议地点 | Sanya, China |
| 页码 | 1-9 |
| 英文摘要 | In order to improve the power generation efficiency of photovoltaic systems and to reduce the cost of manual maintenance, this paper proposes a fault diagnosis and operation and maintenance method based on BP neural network with data cloud acquisition. The causes of short circuit and abnormal aging failure of photovoltaic modules are analyzed. BP neural network fault diagnosis model is established in Matlab, combined with the mathematical model of photovoltaic components to simulate the output of various faults, performing sample training on the fault diagnosis model. The data collected by the distributed photovoltaic information processing and data analysis system platform is used as the input data of the neural network. According to the diagnosis result, reasonable suggestions for PV module operation and maintenance are provided from the aspects of component maintenance, photovoltaic panel cleaning, dip angle change, etc. Simulation results verify the correctness and effectiveness of the proposed method. |
| 产权排序 | 1 |
| 会议录 | 3rd International Conference on Energy Engineering and Environmental Protection - Environmental Protection and Pollution Control
 |
| 会议录出版者 | IOP |
| 会议录出版地 | Bristol, UK |
| 语种 | 英语 |
| ISSN号 | 1755-1307 |
| WOS记录号 | IOP:1755-1307-227-5-052063 |
| 源URL | [http://ir.sia.cn/handle/173321/24478]  |
| 专题 | 沈阳自动化研究所_工业控制网络与系统研究室 |
| 通讯作者 | Yang, Xiao |
| 作者单位 | 1.State Grid Liaoning Electric Power Co. Ltd., Anshan Electric Power Supply Company, Anshan 114000, China 2.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China; 3.Northeastern University, Shenyang 110000, China; 4.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, China; |
| 推荐引用方式 GB/T 7714 | Zhou, Bowen,Li, Yanan,Wang ZF,et al. Fault diagnosis and operation and maintenance of PV components based on BP neural network with data cloud acquisition[C]. 见:. Sanya, China. November 19-21, 2018. |
入库方式： OAI收割
来源：沈阳自动化研究所
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