摘要
随着现代社会对电力供应稳定性和可靠性要求的不断攀升,电厂作为电力生产核心枢纽,其设备运行状况备受关注。变压器作为电厂关键设备,一旦故障将引发大面积停电。然而传统变压器故障检测手段难以满足需求,因此开展油中溶解气体监测与诊断模型研究迫在眉睫。聚焦电厂变压器油中溶解气体,阐述在线监测与故障诊断模型构建及应用。通过分析气体成分与变压器运行状态的关联,运用先进监测技术与算法搭建诊断模型,实现对变压器故障的精准预测与诊断,为保障电厂安全稳定运行提供有效技术支持。
With the increasing demand for stability and reliability of power supply in modern society,power plants,as the core hub of power production,have attracted much attention to their equipment operation status.Transformers,as key equipment in power plants,will cause widespread power outages once they fail.Traditional detection methods are unable to meet the demand,therefore,it is urgent to carry out research on monitoring and diagnostic models for dissolved gases in oil.This article focuses on dissolved gases in transformer oil of power plants,and elaborates on the construction and application of online monitoring and fault diagnosis models.By analyzing the correlation between gas composition and transformer operation status,advanced monitoring technology and algorithms are used to build a diagnostic model,achieving accurate prediction and diagnosis of transformer faults,and providing effective technical support for ensuring the safe and stable operation of power plants.
作者
郝军
HAO Jun(Beijing Guodian Power Co.,Ltd.Shangwan Thermal Power Plant,Ordos 017209,China)
出处
《电工技术》
2025年第S1期117-118,121,共3页
Electric Engineering
关键词
变压器
油中溶解气体
在线监测
故障诊断模型
transformer
dissolved gases in oil
online monitoring
fault diagnosis model
