Hot spot detection of photovoltaic array based on fusion of visible and infrared thermal images

被引:0
|
作者
Jiang L. [1 ]
Su J. [1 ]
Li X. [1 ]
Wang H. [1 ]
机构
[1] School of Electrical Engineering and Automation, Hefei University of Technology, Hefei
来源
关键词
Hot spot; Image fusion; Infrared imaging; Photovoltaic arrays;
D O I
10.19912/j.0254-0096.tynxb.2020-0142
中图分类号
学科分类号
摘要
When the infrared thermal image is used to detect hot spots of photovoltaic array, the image will show the wrong hot spots and it causes false alarm because of the interference of complex environment, such as the reflection of sunlight. In order to improve the effectiveness of the traditional image processing method, a hot spot detection method based on the fusion of visible and infrared thermal image is presented in the paper. The improved method can eliminate the false alarm of hot spots and improve the accuracy of detecting hot spots. The experimental results show that the method is more feasible for the interference of complex environment, so that the hot spot fault is detected efficiently and conveniently. © 2022, Solar Energy Periodical Office Co., Ltd. All right reserved.
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页码:393 / 397
页数:4
相关论文
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  • [1] JIANG L, SU J H, SHI Y, Et al., Hot spots detection of operating PV arrays through IR thermal image, Acta energiae solaris sinica, 41, 8, pp. 180-184, (2020)
  • [2] WOHLGEMUTH J H, KURTZ S R., How can we make PV modules safer?, 2012 IEEE Photovoltaic Specialists Conference, (2012)
  • [3] TSANAKAS J A, BOTSARIS P., On the detection of hot spots in operating photovoltaic arrays through thermal image analysis and a simulation model, Materials evaluation, 4, pp. 457-465, (2013)
  • [4] TSANAKAS J A, CHRYSOSTOMOU D, BOTSARIS P N, Et al., Fault diagnosis of photovoltaic modules through image processing and canny edge detection on field thermographic measurements, International journal of sustainable energy, 34, 6, pp. 351-372, (2015)
  • [5] NIAZI K A K, AKHTAR W, KHAN H A, Et al., Hotspot diagnosis for solar photovoltaic modules using a Naive Bayes classifier, Solar energy, 190, pp. 34-43, (2019)
  • [6] JAFFERY Z A, DUBEY A K, IRSHAD, Et al., Scheme for predictive fault diagnosis in photo-voltaic modules using thermal imaging, Infrared physics & technology, 83, pp. 182-187, (2017)
  • [7] CUBUKCU M, AKANALCI A., Real-time inspection and determination methods of faults on photovoltaic power systems by thermal imaging in Turkey, Renewable energy, 147, pp. 1231-1238, (2020)
  • [8] WANG P Z, ZHENG S C., Fault diagnosis of photovoltatic array based on infrared image, Acta energias solaris sinica, 31, 2, pp. 197-202, (2010)
  • [9] WANG P Z, WANG Q J, YANG W H., A method for the feature extraction of the infrared image of the photovoltaic array, Journal of Hefei University of Technology (naturual science edition), 27, 10, pp. 1187-1190, (2004)
  • [10] MAO X, SHI T P., Research on segmentation algorithm of effective region in photovoltatic hot spot image, Acta energiae solaris sinica, 39, 5, pp. 1270-1276, (2018)