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基于分布式光纤布拉格光栅传感器的光伏组件热点检测

Hot Spot Detection of Photovoltaic Module Based on Distributed Fiber Bragg Grating Sensor.

作者信息

Li Guoli, Wang Fang, Feng Fei, Wei Bo

机构信息

School of Mechanical and Electrical Engineering, Jinling Institute of Technology, Nanjing 211169, China.

Wuxi Brillouin Electronic Technology Co., Ltd., Wuxi 214131, China.

出版信息

Sensors (Basel). 2022 Jun 30;22(13):4951. doi: 10.3390/s22134951.

DOI:10.3390/s22134951
PMID:35808443
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9269709/
Abstract

The hot spot effect is an important factor that affects the power generation performance and service life in the power generation process. To solve the problems of low detection efficiency, low accuracy, and difficulty of distributed hot spot detection, a hot spot detection method using a photovoltaic module based on the distributed fiber Bragg grating (FBG) sensor is proposed. The FBG sensor array was pasted on the surface of the photovoltaic panel, and the drift of the FBG reflected wavelength was demodulated by the tunable laser method, wavelength division multiplexing technology, and peak seeking algorithm. The experimental results show that the proposed method can detect the temperature of the photovoltaic panel in real time and can identify and locate the hot spot effect of the photovoltaic cell. Under the condition of no wind or light wind, the wave number and variation rule of photovoltaic module temperature value, environmental temperature value, and solar radiation power value were basically consistent. When the solar radiation power fluctuated, the fluctuation of hot spot cell temperature was greater than that of the normal photovoltaic cell. As the solar radiation power decreased to a certain value, the temperatures of all photovoltaic cells tended to be similar.

摘要

热点效应是影响发电过程中发电性能和使用寿命的一个重要因素。为了解决分布式热点检测中检测效率低、精度低和难度大的问题,提出了一种基于分布式光纤布拉格光栅(FBG)传感器的光伏组件热点检测方法。将FBG传感器阵列粘贴在光伏面板表面,采用可调谐激光法、波分复用技术和峰值搜索算法对FBG反射波长的漂移进行解调。实验结果表明,该方法能够实时检测光伏面板的温度,能够识别和定位光伏电池的热点效应。在无风或微风条件下,光伏组件温度值、环境温度值和太阳辐射功率值的波动规律基本一致。当太阳辐射功率波动时,热点电池温度的波动大于正常光伏电池的波动。随着太阳辐射功率降低到一定值,所有光伏电池的温度趋于相似。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2380/9269709/95cd5eaba703/sensors-22-04951-g009a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2380/9269709/0b3ce65d36ff/sensors-22-04951-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2380/9269709/57162c6d44b1/sensors-22-04951-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2380/9269709/305fedaa0b87/sensors-22-04951-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2380/9269709/abf826e14148/sensors-22-04951-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2380/9269709/5a5c1e25253a/sensors-22-04951-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2380/9269709/02da63967ace/sensors-22-04951-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2380/9269709/0f3a9c1c3311/sensors-22-04951-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2380/9269709/0e478635c3b6/sensors-22-04951-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2380/9269709/95cd5eaba703/sensors-22-04951-g009a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2380/9269709/0b3ce65d36ff/sensors-22-04951-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2380/9269709/57162c6d44b1/sensors-22-04951-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2380/9269709/305fedaa0b87/sensors-22-04951-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2380/9269709/abf826e14148/sensors-22-04951-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2380/9269709/5a5c1e25253a/sensors-22-04951-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2380/9269709/02da63967ace/sensors-22-04951-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2380/9269709/0f3a9c1c3311/sensors-22-04951-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2380/9269709/0e478635c3b6/sensors-22-04951-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2380/9269709/95cd5eaba703/sensors-22-04951-g009a.jpg

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