油中溶解气体分析的变压器故障诊断方法探讨

Discussion on transformer fault diagnosis method based on dissolved gas analysis in oil

基于油中溶解气体分析(Dissolved Gas Analysis,DGA)的变压器故障诊断能够指导电网运维人员制定合理的检修计划。在电力物联网建设不断加快的背景下,势必对变压器状态监测提出更高的要求。文章梳理了变压器常见故障类型,阐述了变压器故障诊断技术的发展,分析了人工智能技术、光谱技术在变压器故障诊断中的应用,继而指出变压器故障诊断方法需要解决的几个问题,这对进一步提高变压器运行可靠性具有重要意义。

Transformer fault diagnosis based on dissolved gas analysis(DGA)can guide power grid operation and maintenance personnel to formulate reasonable maintenance plan.Under the background of accelerating the construction of power Internet of things,it is bound to put forward higher requirements for transformer condition monitoring.This paper combs the common fault types of transformer,expounds the development of transformer fault diagnosis technology,analyzes the application of artificial intelligence technology and spectrum technology in transformer fault diagnosis,and then points out several problems that need to be solved in transformer fault diagnosis method,which is of great significance to further improve the operation reliability of transformer.