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11 October 2023 Real-time fault diagnosis of photovoltaic modules for integrated energy systems based on YOLOv7
Lu Jin, Liguo Shi, Kaicheng Liu, Ming Zhong, Yalei Pang
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Proceedings Volume 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023); 128005V (2023) https://doi.org/10.1117/12.3004115
Event: 6th International Conference on Computer Information Science and Application Technology (CISAT 2023), 2023, Hangzhou, China
Abstract
The proposal of the double carbon goal in China has developed its renewable energy on a large scale and rapidly increased the installed capacity of its Photovoltaic (PV) power stations. The reliability of PV modules, as the core of PV power generation, affects the safety and stability of the whole system. This study proposed a real-time fault diagnosis of PV modules for integrated energy systems based on YOLOv7. The infrared images of PV modules in distributed PV power stations were obtained using drone cruise photography, and the fault points in the infrared images were identified and marked by training the YOLOv7 network. Compared with the traditional SSD and Faster-RCNN models, YOLOv7 not only ensures the accuracy of fault diagnosis but also greatly improves the detection speed of the model as demonstrated through actual data verification. The infrared image processing speeds are increased by 30.8% and 42.8%. Compared with traditional detection methods, the proposed method can achieve real-time fault diagnosis and play a greater role in the practical application of large-scale PV stations.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Lu Jin, Liguo Shi, Kaicheng Liu, Ming Zhong, and Yalei Pang "Real-time fault diagnosis of photovoltaic modules for integrated energy systems based on YOLOv7", Proc. SPIE 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023), 128005V (11 October 2023); https://doi.org/10.1117/12.3004115
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KEYWORDS
Solar cells
Infrared imaging
Photovoltaics
Unmanned aerial vehicles
Detection and tracking algorithms
Data modeling
Object detection
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