摘要
配电网抢修指挥工作是供电服务和生产管理中最为重要的工作,主动抢修已成为一种迫切需求。目前,电网已积累大量变压器停电数据,如何从这些停电数据中快速识别真实故障,是实施主动抢修的提前。因此,利用变压器的停电明细数据,运用数据挖掘技术,建立故障识别模型,以大幅提高配电线路的故障识别的速度及准确性,为主动抢修奠定了基础。
Distribution network emergency repair command work is the most important work in power supply service and production management.Active emergency repair has become an urgent demand.At present,a large number of transformer outage data have been accumulated in the power grid.How to quickly identify the real fault from these outage data is the prerequisite and foundation of the implementation of the main emergency repair.By using the detailed data of transformer outage and data mining technology,we establish the fault identification model,which can improve the speed and accuracy of fault identification of distribution lines,and prepare for active repair.
作者
毛以平
毛靖斐
司徒佳波
董博
MAO Yi-ping;MAO Jing-fei;SITU Jia-bo;DONG Bo(State Grid Ningbo Fenghua Power Supply Company,Ningbo 315000,China)
出处
《通信电源技术》
2020年第3期46-47,共2页
Telecom Power Technology
基金
浙江省电力有限公司群众性创新项目“配电网故障精准定位及主动抢修技术研究”(QZCX20191007)
关键词
电力大数据
停电明细
故障识别
power big data
outage details
fault identification