光伏系统故障诊断技术研究进展OACHSSCD

Faults are inevitable during the operation of photovoltaic(PV)systems.These faults reduce the efficiency of the power plant and may even lead to fire hazards.Therefore,reliable fault diagnosis is critical for the stable operation of PV systems.This paper reviews research progress on fault diagnosis in PV systems.First,it provides an overview of PV systems and the dominant failure modes of mainstream PV cells.It then summarizes common fault types and their causes,including environmental faults,physical faults,and electrical system faults,and analyzes their impacts on system performance.Next,the paper focuses on widely used fault diagnosis methods,including infrared imaging,circuit topology-based analysis,mathematical model,current(I)-voltoge(U)curve analysis,and intelligent detection techniques.For each method,the paper clearly describes the basic principles,strengths,limitations,and applicable scenarios.Their performance in practical applications is also compared.Finally,the paper discusses in detail the representative datasets used for the fault analysis in PV systems and metrics for evaluating fault detection performance in recent years.It also discusses the key challenges faced by fault diagnosis technologies in PV systems and outlines future research directions.