基于灰色关联的弱电设备线路故障智能检修方法研究  

Research on Intelligent Inspection and Repair Method for Line Faults of Weak Current Equipment Based on Gray Correlation

作　　者：倪旭明 Ni Xuming(State Grid Jinhua Power Supply Company,Jinhua Zhejiang 321001,China)

机构地区：[1]国网金华供电公司,浙江金华321001

出　　处：《电气自动化》2022年第4期105-107,110,共4页Electrical Automation

摘　　要：传统的弱电设备线路故障智能检修方法故障识别能力较差,故障误判率较高。为此,设计了基于灰色关联的弱电设备线路故障智能检修方法。使用模糊C均值算法确定故障类型,确定线路故障类型划分标准,计算故障赋权关联度,根据故障类型使用Weibull分布函数,构建弱电设备线路保护检修模型。至此,基于灰色关联的弱电设备线路故障智能检修方法设计完成。经试验验证表明,灰色关联方法可以有效降低故障误判率,提高设备检修效果,推动智能电网发展。The traditional intelligent inspection and repair method for line faults of weak current equipment has poor fault identification ability and high fault misjudgment rate.For this reason,an intelligent inspection and repair method for weak current equipment line faults based on gray correlation was designed.The fuzzy C-means algorithm was used to determine the fault type,determine the line fault type classification standard,calculate the fault weight correlation degree,and utilize the Weibull distribution function according to the fault type for constructing the weak current equipment line protection and maintenance model.So far,the design of the intelligent inspection and maintenance method based on gray correlation for weak current equipment line faults had been completed.The experimental verification shows that the gray correlation method can effectively reduce the fault misjudgment rate,improve the effectiveness of equipment maintenance,and promote the development of smart grids.

关 键 词：灰色关联模型 模糊聚类方法 智能电网 弱电设备 故障检修 

分 类 号：TM77[电气工程—电力系统及自动化]