继电保护设备隐性故障自动监测研究  

Research on Automatic Monitoring of Hidden Faults in Relay Protection Equipment

作　　者：尹绍俊 YIN Shaojun(Nanjing Nanrui Jibao Electric Co.,Ltd.,Nanjing,Jiangsu 211100,China)

机构地区：[1]南京南瑞继保电气有限公司,江苏南京211100

出　　处：《自动化应用》2025年第4期180-182,共3页Automation Application

摘　　要：为提升继电保护设备隐性故障监测精度,提出继电保护设备隐性故障自动监测方法。首先,依据继电保护设备隐性故障自动监测原理,求取设备电子量特征和发生隐性故障概率。其次,引入权重系数平衡故障数据传输速率,结合稳态分析决策条件,辨识设备隐性故障信息参量。然后,利用贝叶斯网络构造设备保护信息之间的结构关系,并基于隐性故障变量的联合概率和边缘概率构建故障监测模型。最后,对设备隐性故障特征进行自适应融合,得到综合特征指标,并将其作为监测模型输入,得到继电保护隐性故障识别判据,由此实现设备隐性故障自动监测。结果表明,利用所提方法对继电保护设备进行隐性故障监测,得到的启动信号与实际启动信号完全一致,总体监测精度高。In order to improve the accuracy of hidden fault monitoring in relay protection equipment,an automatic monitoring method for hidden faults in relay protection equipment is proposed.Firstly,based on the principle of automatic monitoring of hidden faults in relay protection equipment,the electronic characteristics of the equipment and the probability of hidden faults occurring are calculated.Secondly,weight coefficients are introduced to balance the transmission rate of fault data,and combined with steady-state analysis decision conditions,the implicit fault information parameters of the equipment are identified.Then,a Bayesian network is used to construct the structural relationship between device protection information,and a fault monitoring model is constructed based on the joint probability and edge probability of implicit fault variables.Finally,the implicit fault characteristics of the equipment are adaptively fused to obtain comprehensive feature indicators,which are used as inputs for the monitoring model to obtain the recognition criteria for implicit faults in relay protection,thereby achieving automatic monitoring of implicit faults in the equipment.The results show that using the proposed method for implicit fault monitoring of relay protection equipment,the obtained start signal is completely consistent with the actual start signal,and the overall monitoring accuracy is high.

关 键 词：贝叶斯理论 继电保护装置 故障特征量 故障监测模型 故障概率 自动监测方法 

分 类 号：TP206.3[自动化与计算机技术—检测技术与自动化装置]