A survey of online fault diagnosis for photovoltaic modules based on four parameters

作者：Wang Yuanzhang^*; Li Zhihua; Wu Chunhua

来源：Proceedings of the CSEE, 2014, 34(13): 2078-2087.

DOI：10.13334/j.0258-8013.pcsee.2014.13.009

• Degradation condition
• Fault types
• Maximum power point
• On-line diagnosis
• On-line fault diagnosis
• Output characteristics
• Photovoltaic modules
• Standard values

The output characteristics of photovoltaic (PV) modules under short-circuit or abnormal degradation conditions were analyzed. The online fault diagnosis method for PV modules based on four parameters, namely open circuit voltage, short-circuit current, the voltage of maximum power point and the current of maximum power point were proposed. Then the fault type factor K was introduced. Through comparing the difference between the value of K and the standard value, the type of faults could be determined. Once the faults are certain, the extent of faults and the early warnings are analyzed automatically online. When the PV modules are short-circuited, the artificial neural network can be utilized for acquiring the number of short-circuited cells. When the PV modules are in abnormal degradation, the value of fill factor (FF) can be utilized to acquire the extent of degradation. The results of simulations and experiments show that the method has a high accuracy rate, and its feasibility and effectiveness are proved.

• 出版日期2014
• 单位上海大学