基于智能监测的电力系统故障诊断方法研究  

Research on the Fault Diagnosis Method Of Electric Power System Based on Intelligent Monitoring

作　　者：刘辰 LIU Chen(China Railway Wuhan Electrification Bureau Group Co.,Ltd.,Wuhan 430223,China)

机构地区：[1]中铁武汉电气化局集团有限公司,湖北武汉430223

出　　处：《通信电源技术》2025年第4期53-55,共3页Telecom Power Technology

摘　　要：随着电网规模不断扩大和复杂程度提高,传统的电力系统故障诊断方法难以满足当前电网发展需求。提出一种基于智能监测的电力系统故障诊断方法,包括电力系统状态监测数据获取、电力设备故障特征提取、故障类型智能识别3个环节。实验结果表明,与传统支持向量机(SupportVectorMachine,SVM)方法相比,该方法在诊断准确率、响应时间、误报率及漏报率等方面均具有明显优势,为提高电力系统故障诊断水平提供了新的技术路径。With the continuous expansion and increasing complexity of the power grid,traditional power system fault diagnosis methods are unable to meet the current development needs of the power grid.Propose a fault diagnosis method for power systems based on intelligent monitoring,which includes three steps:data acquisition from power system status monitoring,feature extraction of power equipment faults,and intelligent recognition of fault types.The experimental results show that compared with traditional Support Vector Machine(SVM)methods,this method has significant advantages in diagnostic accuracy,response time,false positive rate,and false negative rate,providing a new technical path for improving the level of fault diagnosis in power systems.

关 键 词：电力系统 故障诊断 智能监测 

分 类 号：TM712[电气工程—电力系统及自动化]