基于红外技术的智能变电站电气设备热故障辨识研究  

Research on Thermal Fault Identification of Electrical Equipment in Intelligent Substation Based on Infrared Technology

作　　者：汪笑妮 WANG Xiao-ni(School of Electrical and Electronic Engineering,North China Electric Power University,Beijing 102206 China)

机构地区：[1]华北电力大学电气与电子工程学院,北京102206

出　　处：《自动化技术与应用》2025年第3期168-170,175,共4页Techniques of Automation and Applications

摘　　要：运行在室外暴露环境下的变电站电气设备,随时间推移可能会发生故障,导致变电站停止运行,为此提出一种基于红外技术的热故障辨识方法。利用红外技术采集得到的红外图像,明确当前设备全局温度,凭借红外技术下相对温差判断法,对比得到温度最高点和正常工作状态间相对温差;判断电气设备热故障类型,若为全局故障,则使用发热功率判断设备是电流还是电压故障,若为局部故障,可利用临界温度值对比相对温差,判断局部热故障类型及严重程度。实验结果表明,所研究方法能够通过红外图像辨识出热故障的区域,且辨识精度高。The electrical equipment of the substation running in the outdoor exposed environment may fail over time,leading to the shutdown of the substation.Therefore,a thermal fault identification method based on infrared technology is proposed.It uses the infrared image collected by infrared technology to clarify the current global temperature of the equipment,and compares the relative temperature difference between the highest temperature point and the normal working state by using the relative temperature difference judgment method under infrared technology,judges the type of thermal fault of electrical equipment.If it is a global fault,use the heating power to judge whether the equipment is a current or voltage fault.If it is a local fault,uses the critical temperature value to compare the relative temperature difference to judge the type and severity of local thermal fault.The experimental results show that the proposed method can identify the thermal fault area through infrared images,and the identification accuracy is high.

关 键 词：红外技术 智能变电站 电气设备 热故障 故障诊断 

分 类 号：TP277.3[自动化与计算机技术—检测技术与自动化装置]