Design of Photovoltaic Array Fault Online Evaluation System

Common failures of photovoltaic array include aging of the photovoltaic circuit, short circuit, open circuit, and shadow blocking, which will affect the generation efficiency and component safety of photovoltaic array. In this paper, an on-line fault diagnosis system of the photovoltaic array is proposed. Hall sensor is used to collect the output voltage and current data of the photovoltaic array. According to the difference of I-V characteristics under different fault types of photovoltaic array, the Extreme learning machine model is used to carry out on-line classification and evaluation of data, and the current status of the photovoltaic array is diagnosed and displayed. The system has the advantages of fast data analysis speed and high accuracy of working statejudgment.