基于大数据的电力计量设备运行状态评估与故障诊断方法研究  

Research on Operation Condition Assessment and Fault Diagnosis of Power Metering Equipment Based on Big Data

作　　者：燕凯 岳振宇[2] 高嘉浩 YAN Kai;YUE Zhenyu;GAO Jiahao(State Grid Jibei Electric Power Co.,Ltd,Beijing 100045,China;2.Tangshan Power Supply Company,State Grid Jibei Electric Power Co.,Ltd,Tangshan Hebei 063000,China)

机构地区：[1]国网冀北电力有限公司,北京100045 [2]唐山供电公司,河北唐山063000

出　　处：《电子器件》2019年第5期1095-1098,1121,共5页Chinese Journal of Electron Devices

摘　　要：运用大数据关联规则技术,综合电力计量设备的现场数据、历史运行数据(含故障分析)等信息,建立电力计量设备的运行模型及故障预警知识库,采用深度学习算法对用电信息、调度电能、计量点管理、配电信息等设备在线运行状态给予全面评估,实现电力计量设备装置的动态运行分析与故障诊断。Relying on the large data technology and combining the field data,historical operation data(including fault analysis)and other information of electric power metering equipment,the operation model and fault warning knowledge base of electric power metering equipment are established by using the depth learning algorithm,so as to set up the electric power information,dispatching electric energy,metering point management,distribution information and so on.The on-line operation status of the standby is evaluated comprehensively,and the dynamic operation analysis and fault diagnosis of the electric power metering device are realized.

关 键 词：大数据 电网故障 故障检测 关联规则 

分 类 号：TM930.1[电气工程—电力电子与电力传动]