On-line Monitoring and Fault Diagnosis of PV Array Based on BP Neural Network Optimized by Genetic Algorithm

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• 关键词：PV module ; BP neural network ; Genetic algorithm ; Zigbee
• 刊名：Lecture Notes in Computer Science
• 出版年：2015
• 出版时间：2015
• 年：2015
• 卷：9426
• 期：1
• 页码：102-112
• 全文大小：2,463 KB
• 参考文献：1.Sharma, V., Chandel, S.: Performance and degradation analysis for long term reliability of solar PV systems: a review. Renew. Sustain. Energy Rev. 27, 753–767 (2013)CrossRef
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• 作者单位：Hanwei Lin (15)
  Zhicong Chen (15)
  Lijun Wu (15)
  Peijie Lin (15)
  Shuying Cheng (15)
  
  15. Qi Shan Campus of Fuzhou University, 2 Xue Yuan Road, University Town, Fuzhou, 350108, Fujian, People’s Republic of China
  
• 丛书名：Multi-disciplinary Trends in Artificial Intelligence
• ISBN：978-3-319-26181-2
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349

文摘

The vast majority of photo voltaic (PV) arrays often work in harsh outdoor environment, and undergo various fault, such as local material aging, shading, open circuit, short circuit and so on. The generation of these fault will reduce the power generation efficiency, and even lead to fire disaster which threaten the safety of social property. In this paper, an on-line distributed monitoring system based on ZigBee wireless sensors network is designed to monitor the output current, voltage and irradiate of each PV module, and the temperature and the irradiate of the environment. A simulation PV module model is established, based on which some common faults are simulated and fault training samples are obtained. Finally, a genetic algorithm optimized Back Propagation (BP) neural network fault diagnosis model is built and trained by the fault samples data. Experiment result shows that the system can detect the common faults of PV array with high accuracy.