摘要
电力系统中的继电保护装置是保障电力系统安全运行的重要组成部分,但由于长期运行和外界干扰等原因,继电保护装置可能会出现故障。旨在分析继电保护装置的故障情况,探索智能诊断技术在故障识别和定位中的应用,运用基于机器学习和数据挖掘技术的智能故障诊断方法对大量历史故障数据的分析和比对,实现对继电保护装置故障的准确诊断和定位,提高继电保护装置故障诊断效率和准确性。
The relay protection device in the power system is an important component to ensure the safe operation of the power system,but due to long-term operation and external interference,the relay protection device may malfunction.This article aims to analyze the fault situation of relay protection devices,explore the application of intelligent diagnosis technology in fault identification and positioning,use intelligent fault diagnosis methods based on machine learning and data mining technology to analyze and compare a large amount of historical fault data,achieve accurate diagnosis and positioning of relay protection device faults,and improve the efficiency and accuracy of relay protection device fault diagnosis.
作者
陈忠文
CHEN Zhongwen(Shandong Guorui New Energy Co.,Ltd.,Jinan,Shandong 250102,China)
出处
《自动化应用》
2024年第S01期345-348,共4页
Automation Application
关键词
继电保护装置
故障分析
智能诊断技术
电力系统
relay protection device
fault analysis
intelligent diagnosis technology
power system