大数据技术在电力系统的应用  

Application of Big Data Technologies in Power System

作　　者：蔡德福[1] 曹侃[1] 唐泽洋[1] 刘曼佳[1] 万磊[2] 周鸿雁[2] 

机构地区：[1]国网湖北省电力公司电力科学研究院,湖北武汉430077 [2]国网湖北省电力公司,湖北武汉430077

出　　处：《湖北电力》2016年第6期22-26,共5页Hubei Electric Power

基　　金：国网湖北省电力公司科技项目(52153214001J)

摘　　要：为了促进电力大数据对全面推动电网向更安全、可靠、高效、经济、清洁、互动的现代能源互联网转变,首先介绍了大数据的概念和发展历程,然后分析了电力大数据的分类、来源及特征,并从科学研究、工程应用及研究团队建设等方面着重介绍了电力大数据的研究现状,最后通过风电场功率预测、配电网低电压定位及治理、配电网重过载风险评估及预警等3个典型案例阐述电力大数据的应用场景。In order to promote large data of power on the comprehensive promotion of power grid to a more secure,reliable,efficient,economical,clean and interactive modern energy Internet transformation,firstly,the concept and development of big data are introduced.Then the classification,source and features of electric power big data are analyzed.And the current situation of electric power big data is reviewed from the aspects of scientific research,engineering applications and research team building.Finally,the application scenarios of electric power big data are analyzed by three typical cases,including wind farm power prediction,low voltage location and control for distribution network,risk assessment and early warning of distribution network overload.

关 键 词：大数据 电力大数据 应用场景 

分 类 号：TM74[电气工程—电力系统及自动化]