重庆科技大学学报（自然科学版）2025，Vol.27Issue(2)：88-98,11.DOI:10.19406/j.issn.2097-4531.2025.02.011
基于RF的光伏逆变器IGBT开路故障诊断
RF-Based IGBT Open Circuit Fault Diagnosis of PV Inverter
摘要
Abstract
In order to diagnose double-tube open-circuit faults of insulated gate bipolar transistors in neutral point clamped three-level inverters,a novel fault signal combination has been designed.This combination includes the three-phase currents at the output of the inverter,the three-phase currents after the concordia transformation,active power,and reactive power.The combination is then used in conjunction with a machine learning algorithm to clas-sify and recognize the faults.Initially,the Simulink environment within the Matlab framework is utilized to con-struct the simulation model and engineer the fault module.Subsequently,the requisite fault signal data at the in-verter′s output are collected.Finally,the data undergoes training and testing via machine learning.The results of the simulation experiments demonstrate that the RF classifier exhibits superior accuracy,enhanced stability and augmented robustness in comparison to the DT,KNN and LightGBM classifiers.关键词
中性点箝位式三电平逆变器/绝缘栅双极型晶体管/机器学习/故障诊断/RF分类器Key words
neutral-point-clamped three-level inverter/insulated-gate bipolar transistor/machine learning/fault diagnosis/RF classifier分类
信息技术与安全科学引用本文复制引用
张道奎,郑晓亮..基于RF的光伏逆变器IGBT开路故障诊断[J].重庆科技大学学报（自然科学版）,2025,27(2):88-98,11.基金项目
中国工程院院地合作项目"安徽省微电网构建及分布式能源发展战略研究"(2024-02) （2024-02）
安徽省自然科学基金项目"5G通信配网分布式保护可靠性提升与系统状态评估研究"(2108085UD07) （2108085UD07）
安徽省高校科学研究项目"非凸非线性多目标优化的可再生能源高渗透电力系统动态调度研究"(2023AH051214) （2023AH051214）
