面向智能电网大数据的分析挖掘与计算范式  

Analytics and Computation Paradigm for Big Data of Smart Grid

作　　者：张鹏飞[1] 徐志宇[2] 许唐云[1] 许维胜[2,3] 瞿海妮[1] 

机构地区：[1]国网上海市电力公司电力科学研究院,上海200437 [2]同济大学电子与信息工程学院,上海201804 [3]同济大学大数据与网络安全研究中心,上海200092

出　　处：《电力学报》2016年第2期89-94,共6页Journal of Electric Power

基　　金：国家自然科学基金(71401125);教育部博士点基金(20130072110045);国网上海市电力公司科技项目(52094014001S)

摘　　要：随着加强智能电网的全面建设,具有"4V"特征的大数据正在贯通电力行业的发、输、变、配、用、调6大环节,智能电网大数据时代已然到来。数据挖掘和云计算是应对电网大数据的2大关键技术。简要介绍智能电网大数据全貌,归纳各种数据挖掘算法及其在电网中的应用,阐释云计算与大数据的密切关联,通过科技文献调研与统计分析,评述现状并预测未来趋势。以期为电力企业应对智能电网大数据提供知识储备与决策参考。Along with the establishment of the strong smart grid,the big data,which are known by the＂4V＂characteristics,are being brought into every sector of the power industry,i.e.,generation,transmission,transformation,distribution,consumption,and dispatch.The power industry has stepped into the era of big data.The data mining and cloud computing are two keys to tackle the big data problems of smart grid.This paper outlines the big data of smart grid,summarizes various algorithms of data mining and the applications in power grid,and interprets the significance of cloud computing to big data.Based on the investigation and statistical analysis of scientific literatures,we present the state-of-the-art,and evaluate the future trend,aiming to provide the knowledge preparation and decision reference for the power enterprise to play in the era of smart grid and big data.

关 键 词：智能电网 大数据 数据挖掘 云计算 

分 类 号：TM76[电气工程—电力系统及自动化]