Research on the Fault Location of PV Modules Based on an Improved Otsu_Canny Algorithm
In order to improve the efficiency of online fault diagnosis in photovoltaic systems,a fault location method for Otsu-Cannoy photovoltaic modules based on an improved genetic algorithm is proposed.Based on this method,it is possible to extract fault components from infrared images of large-area photovoltaic panels.Combining this method with image recognition-based fault diagnosis methods can greatly improve the efficiency of photovoltaic module fault diagnosis.Firstly,the improved genetic algorithm Otsu algorithm is used to segment the fault area of photovoltaic modules,and then the Canny operator is used to achieve fault edge detection,ultimately completing fault localization.The experimental results show that compared with traditional algorithms,the proposed algorithm has fast fault location,high accuracy,and good practicality and application value.
国家科技期刊平台
NSTL
万方数据
维普
