电气传动2024，Vol.54Issue(4)：11-20,10.DOI:10.19457/j.1001-2095.dqcd25293
机理-数据融合驱动的互联变流系统故障诊断方法
Mechanism-data-fusion-driven Fault Diagnosis Method for Interconnected Conversion Systems
摘要
Abstract
Three-level neutral-point-clamped(3L-NPC)interconnected converters have been widely used in the AC-DC hybrid distribution grids due to their superiorities of large capacity and high power quality.However,their working conditions are always with high power,varying load,and limited heat dissipation,etc.,with a high open-circuit failure rate of power switches.Meanwhile,existing fault diagnosis methods are mostly single mechanism-based or data-based,unable to overcome the problems of complex system model structure and changing operating conditions,resulting in low diagnostic accuracy and speed.To this end,a mechanism-data-fusion-driven fault diagnosis method for interconnected conversion systems was proposed.Firstly,a mechanism-data-fusion model was constructed using a neural network observer to improve the fault diagnosis accuracy.Subsequently,the trajectories of current residuals after open-circuit faults of different devices were analyzed,and a current residual table was summarized,based on which a fast and accurate open-circuit fault diagnosis method was formed.Finally,the experimental and hardware-in-the-loop results verify the effectiveness of the proposed method.关键词
交直流混联配电网/三电平互联变流器/故障诊断/机理-数据融合/电流残差Key words
AC-DC hybrid distribution grid/three-level interconnected converter/fault diagnosis/mechanism-data-fusion/current residual分类
信息技术与安全科学引用本文复制引用
石立国,李延真,李元付,关雪琳,徐志根,张明远..机理-数据融合驱动的互联变流系统故障诊断方法[J].电气传动,2024,54(4):11-20,10.基金项目
国家电网有限公司总部管理科技项目(5100-202116567A-0-5-SF) （5100-202116567A-0-5-SF）
