基于大数据分析的配电网主动检修业务应用研究与实现  

Research and Implementation of Active Service for Distribution Network Based on Large Data Analysis

作　　者：徐祥征[1] 王师奇 吴百洪 

机构地区：[1]华东交通大学,南昌330013

出　　处：《科技通报》2017年第6期105-108,共4页Bulletin of Science and Technology

摘　　要：就当前配电网运维检修的工作现状及存在的一系列问题进行了探讨,提出了基于大数据技术分析实现配电网主动检修管理的解决方案。为了实现这一方案,本文通过研究大数据平台支撑、移动互联、工单自动研判三种关键技术,进行了总体设计。实践证明,基于大数据平台技术支撑的主动检修业务应用系统实现了从海量的电网运行数据中自动研判出电网运行异常情况,自动推送预警工单给配网运维班组。该方案不仅能除隐患于萌芽状态,减少故障停电,变被动为主动,有效支撑配电网主动检修,而且可以使配电网运维管理有效提升,提高供电可靠性,提升客户满意度。The current distribution network operation and maintenance of the status quo and the existence of a series of problems are discussed, based on the analysis of large data technology to achieve the distribution network active maintenance management solutions. In order to achieve this program, based on large data platform, mobile Internet, single automatic judgments of three key technologies, the overall design. Practice has proved that the active maintenance of business application systems to support large data platform technology based on grid from the massive operation data automatically judged the abnormal situation of power grid operation, automatic push early warning work orders for distribution network operation and maintenance team. This scheme not only can remove hidden dangers in the bud,reduce power failure, change from passive to active, effective support for active distribution network maintenance, but also can make the distribution network operation management effectively and improve the reliability of power supply, improve customer satisfaction.

关 键 词：大数据 配电网 运维管理 主动检修 

分 类 号：TM769[电气工程—电力系统及自动化]