基于随机矩阵理论的智能电网大数据体系结构设计
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引用本文:王艺霏1,李贤1,来骥1,陈重韬1,连浩2.基于随机矩阵理论的智能电网大数据体系结构设计[J].计算技术与自动化,2019,(3):17-21
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王艺霏1,李贤1,来骥1,陈重韬1,连浩2 (1.国网冀北电力有限公司 信息通信分公司北京 100053 2.国网信通产业集团 北京中电普华信息技术有限公司北京100085) 
中文摘要:针对智能电网数据繁多、用户应用困难的技术问题,提出了新型的大数据驱动方法,并设计出基于随机矩阵理论处理智能电网大数据的系统。通过随机矩阵理论建立随机矩阵算法模型,对智能电网大数据库中的数据获取样本,并进行训练、学习,建立用户需求的数据模型。通过计算,将隐藏在智能电网大数据中的宏观数据转换成微观数据,供用户参考使用,从本质上发现影响智能电网正常运行的参数。计算数据不仅可以本地显示,还能够远程上传到SG186营销系统,供各种用户使用,同时,还可以通过无线通讯的方式上传云端,实现计算数据的永久性保存。设计的方案随机矩阵理论算法引入到智能电网大数据体系,不仅提高了智能电网大数据的直观显示,还为后续工作的进一步开展提供技术参考。
中文关键词:智能电网  随机矩阵理论  算法模型  云端  大数据库
 
Design of Big Data Architecture of Smart Grid Based on Random Matrix Theory
Abstract:This paper proposes a new big data driving method for the technical problems of smart grid data and user application difficulties,and designs a system based on random matrix theory to deal with smart grid big data. In this paper,we establish a random matrix algorithm model by random matrix theory,and obtain samples from the data in the large database of smart grid,and train and learn to establish a data model of user demand. The macro data hidden in the smart grid big data is converted into micro data for users to refer to through calculation,and the parameters affecting the normal operation of the smart grid are found in essence. The calculation data can be displayed not only locally,but also remotely uploaded to the SG186 marketing system for use by various users. At the same time,the cloud can be uploaded by wireless communication to achieve permanent storage of calculated data. The scheme designed in this paper introduces the random matrix theory algorithm into the smart grid big data system,which not only improves the visual display of the smart grid big data,but also provides a technical reference for the further development of the follow-up work.
keywords:smart grid  stochastic matrix theory  algorithm model  cloud  large database
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