配电网运营大数据挖掘与分析  

Big Data Mining and Analysis of Distribution Network Operation

作　　者：崔艳妍[1] 王军[2] 苏剑[1] 马丽[1] 苑帅[2] 刘伟[1] 刘苑红[1] 陈海[1] 张东霞[1] 

机构地区：[1]中国电力科学研究院,北京100192 [2]国家电网公司,北京100031

出　　处：《供用电》2017年第6期20-26,共7页Distribution & Utilization

基　　金：国家高技术研究发展计划(863计划)(2015AA050203);国家电网公司科技项目~~

摘　　要：文章以配电网运行效率及供电能力评价模型为基础,基于获取的上百万台配电网主设备(包括高压线路、主变压器、中压线路及配电变压器)2014年的档案和运行类明细数据,从业务理解、数据准备、挖掘分析、应用分析4个阶段阐述了基于配电网明细运行数据开展配电网运营挖掘分析的整个过程和相关的业务环节。从聚类分析、关联分析2个方面开展了数据挖掘分析;从时空分析、监测分析、趋势研判3个方面开展了应用分析。通过深入挖掘运行效率和供电能力的相关影响因素,定位目前存在的问题,以促进配电网发展更加协调,运行更加经济。On the basis of distribution network operation efficiency and power supply capacity evaluation model, big data mining and analysis of distribution network operation is carried out by using the obtained file and operation data of millions of the distribution network main equipment in 2014. The equipment include high voltage transmission line, main transformer, medium voltage distribution line and distribution transformer. The whole process and related business links of distribution network operation mining analysis based on the detailed operation data are expounded from the four stages： business understanding, data preparation, mining analysis and application analysis. Data mining analysis is carried out from two aspects： cluster analysis and correlation analysis. Application analysis is carried out from three aspects： the time and space analysis, monitoring analysis and the trend analysis. By means of deep mining the factors of operation efficiency and power supply capacity？ the current problems are located, making the distribution network development more coordinate and the operation more cost- efficiency.

关 键 词：配电网 运行效率 供电能力 大数据 挖掘分析 

分 类 号：TM71[电气工程—电力系统及自动化]