Typical fault analysis and diagnosis based on I-V output characteristics of photovoltaic modules
Based on the equivalent circuit model of a single diode solar cell,the mechanism characteristics and I-V output characteristics of three typical faults,namely hot spot,potential induced attenuation(potential induced degradation,PID),and aging,are studied and analyzed.Based on the variation characteristics of the I-V characteristic curve of the three typical faults,diagnostic feature quantities for different faults are extracted,and a fault diagnosis method based on I-V output characteristics is proposed by combining the feature quantities with probability neural network(probabilistic neural network,PNN).Conduct experimental testing using faulty components provided by photovoltaic power generation operation enterprises as experimental data sources,the experimental results show that the accuracy of the fault diagnosis model is about 99.02%,with only a few cases of misjudgment.The proposed fault diagnosis method can reliably determine the cause of each fault,providing effective assistance for intelligent operation and maintenance of photovoltaic power plants.
solar cellphotovoltaic moduleequivalent circuit modelI-V output characteristicsfeature extractionfault diagnosis
万方数据
维普
