大数据视角下配电网故障诊断与智能维护研究  

Research on fault diagnosis and intelligent maintenance of distribution networks from perspective of big data

作　　者：高彬彬 GAO Binbin(Kashgar Power Supply Company,State Grid Xinjiang Electric Power Co.,Ltd.,Kashgar,Xinjiang 844000,China)

机构地区：[1]国网新疆电力有限公司喀什供电公司,新疆喀什844000

出　　处：《计算机应用文摘》2024年第24期188-190,共3页

摘　　要：随着我国配电网建设规模的不断扩大,配电网技术越发成熟,电网运行与管理标准相应提高。目前,大数据技术被广泛用于配电网领域,尤其是在配电网系统故障诊断分析方面。文章论述了大数据背景下配电网故障诊断与智能维护的优势,提出了大数据采集技术、大数据故障诊断与定位技术以及配电网智能维护技术的故障诊断与智能维护途径,以期为配电网的智能运行提供支持。With the continuous expansion of the construction scale of China̓s distribution network,the technology of distribution network is becoming more mature,and the standards for power grid operation and management are correspondingly improved.At present,big data technology is widely used in the field of distribution networks,especially in fault diagnosis and analysis of distribution network systems.The article discusses the advantages of fault diagnosis and intelligent maintenance of distribution networks under the background of big data,and proposes fault diagnosis and intelligent maintenance approaches for big data acquisition technology,big data fault diagnosis and positioning technology,and intelligent maintenance technology of distribution networks,in order to provide support for the intelligent operation of distribution networks.

关 键 词：大数据 配电网 故障诊断 智能维护 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]