基于大数据的广州电网输电线路跳闸分析及相关因素关联性挖掘  

Transmission Line Tripping Analysis and Correlative Factor Mining for Guangzhou Power Grid Based on Big Data

作　　者：刘育权 郭媛君[2] 陆国俊 夏佳伟 王勇 杨戈[2] 林裕杰 LIU Yuquan GUO Yuanjun LU Guojun XIA Jiawei WANG Yong YANG Ge LIN Yujie(Guangzhou Power Supply Co. , Ltd. , Guangzhou 510620, China Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong 518055, China)

机构地区：[1]广州供电局有限公司,广州510620 [2]中国科学院深圳先进技术研究院,广东深圳518055

出　　处：《南方电网技术》2017年第4期38-44,共7页Southern Power System Technology

基　　金：国家高技术研究发展计划(863计划)项目(2015AA050201);国家自然科学基金资助项目(51607177)~~

摘　　要：为提高广州地区电网的安全稳定,在分析近年来广州地区雷电活动情况的基础上,总结了广州电网输电线路的运行状况和雷击跳闸情况,基于大数据技术建立了电网输电设备状态监测系统。该系统能够结合三维数字仿真平台直观地分析输电线路跳闸对一定范围内线路电压电流的暂态影响情况;同时利用大数据挖掘技术分析输电线路跳闸、电压暂变与雷击的相关性,挖掘潜在的弱关联关系。所建系统能够有针对性地建立全网雷击与跳闸以及相关因素信息数据库,为电网运行制订防护原则、开展防雷日常运维工作、提高全网运行水平提供有效技术支持。In order to improve the safety and stability of Guangzhou power grid, a power transmission line monitoring system using big data technology is proposed based on analysis of the lightning activities in Guangzhou area in recent years and summary of the operational status of power transmission lines and tripping by lightning in Guangzhou power grid. The transient effect on voltage and current around the tripped transmission line can be presented for analysis directly with 3D simulation system to visualize the tripping events and the affected substations. Meanwhile, the big data mining technologies are applied to analyze the correlating factors of tripping events with transient voltage and lightning events, and search for any potential links among them. The proposed system can establish a correl- ative information database of lightning, tripping and other related factors for Guangdong power grid, and provide effective technical support for making protection principles of grid operation, carrying out daily maintenance of lightning protection, and improving the operation level of the grid.

关 键 词：大数据 输电线路跳闸 相关性分析 三维数字仿真系统 

分 类 号：TM769[电气工程—电力系统及自动化]