| 注册
首页|期刊导航|南京工业大学学报(自然科学版)|光伏系统故障诊断技术研究进展

光伏系统故障诊断技术研究进展

陆子豪 郭铭昊 刁珂龙 杨谋存

南京工业大学学报(自然科学版)2026,Vol.48Issue(2):135-155,21.
南京工业大学学报(自然科学版)2026,Vol.48Issue(2):135-155,21.DOI:10.3969/j.issn.1671-7627.2026.02.001

光伏系统故障诊断技术研究进展

Research advances in fault diagnosis techniques for photovoltaic systems

陆子豪 1郭铭昊 1刁珂龙 1杨谋存1

作者信息

  • 1. 南京工业大学机械与动力工程学院,江苏南京 211800
  • 折叠

摘要

Abstract

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.

关键词

光伏系统/故障诊断技术/环境故障/物理故障/电气系统故障/光伏电池

Key words

photovoltaic system/fault diagnosis technology/environmental faults/physical faults/electrical system faults/photovoltaic cells

分类

信息技术与安全科学

引用本文复制引用

陆子豪,郭铭昊,刁珂龙,杨谋存..光伏系统故障诊断技术研究进展[J].南京工业大学学报(自然科学版),2026,48(2):135-155,21.

南京工业大学学报(自然科学版)

OACHSSCD

1671-7627

访问量1
|
下载量0
段落导航相关论文