摘要
油浸式变压器作为电力系统中的重要设备在电力系统中的作用不可忽视,而其故障的高发性使故障诊断技术成为保障电力系统可靠运行的必要条件。本文结合油浸式变压器故障诊断方法的研究现状,从故障诊断的状态监测——离线监测和在线监测,及变压器故障诊断方法——传统、智能及基于仿真模型的故障诊断方法的角度进行分析,并提出变压器故障诊断可能的发展方向,为变压器的故障诊断研究提供一定的参考。
As an important equipment in the electric power system,the role of oil-immersed transformer in the electric power system cannot be ignored,due to its high incidence of faults,fault diagnosis technology is a prerequisite to ensure the reliable operation of the electric power system.Based on the research status of oil-immersed transformer fault diagnosis methods,this paper analyzes the fault diagnosis status monitoring-offline monitoring and online monitoring,and transformer fault diagnosis methods-traditional,intelligent and simulation model-based fault diagnosis methods,and puts forward the possible development directions of transformer fault diagnosis,which provides a certain reference for transformer fault diagnosis research.
作者
王横
Wang Heng(Institute of Energy Internet,Nanjing Normal University Zhongbei College,Danyang 212300,Jiangsu Province,China)
出处
《科学与信息化》
2023年第16期134-136,共3页
Technology and Information
关键词
油浸式变压器
故障诊断
人工智能
数字孪生
oil-immersed transformer
fault diagnosis
artificial intelligence
digital twins
