Research on Automatic Detection of Aging Degree of Photovoltaic Modules Based on Multi Feature Fusion
The application effect of current methods in the detection of aging degree of photovoltaic modules is not ideal,and the consistency coefficient between the detection results and the actual situation is low.To address the shortcomings and deficiencies of current methods,a research on automatic detection of aging degree of photovoltaic modules based on multi feature fusion is proposed.Based on the output characteristics of photovoltaic modules in an aging environment,photogenerated current,equivalent series resistance,and parallel resistance are selected as aging parameters.Standard tests are provided and aging parameters are extracted.By integrating the aging characteristic parameters of photovoltaic modules,the degree of aging is quantified and the aging level is determined to achieve automatic detection of the aging degree of photovoltaic modules based on multi feature fusion.Experimental results have shown that the consistency coefficient between the detection results of the proposed method and the actual situation is above 0.95,which has good application prospects in the field of optoelectronic engineering detection.
multi feature fusionphotovoltaic modulesdegree agingautomatic detectionphotocurrent generationequivalent series resistance
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