用电信息采集系统的相关性数据压缩方案研究  

Research on correlation data compression scheme of power information acquisition system

作　　者：窦健 郑国权 郄爽 卢继哲 赵羚 苏航[3] Dou Jian;Zheng Guoquan;Qie Shuang;Lu Jizhe;Zhao Ling;Su Hang(China Electric Power Research Institute Co.,Ltd.,Beijing 100192,China;Electric Power Research Institute of State Grid Zhejiang Electric Power Co.,Ltd.,Hangzhou 310007,China;School of Microelectronics and Communication Engineering,Chongqing University,Chongqing 400044,China)

机构地区：[1]中国电力科学研究院有限公司,北京100192 [2]国网浙江省电力有限公司电力科学研究院,杭州310007 [3]重庆大学微电子与通信工程学院,重庆400044

出　　处：《电测与仪表》2021年第10期80-86,共7页Electrical Measurement & Instrumentation

基　　金：国家电网公司总部科技项目(521101180017)。

摘　　要：针对智能电网建设中海量用电信息采集数据的传输和存储问题,文中设计了一套相关性数据压缩方案。首先,在用户侧对传输协议进行解析,分解出占绝大部分的应用层数值数据。对数值数据进一步分类,据子类不同分布特性采用自编码网络或差分编码等相关性压缩算法,进行实验去除冗余。最后,进行了异常数值的分析上报和恢复处理,对未来智能电网的建设有着重要意义。Aiming at the problem of transmission and storage of massive electricity consumption information collection data in smart grid construction,a related data compression scheme is designed in this paper.Firstly,the transmission protocol is parsed on the user side,and the majority of the application layer numerical data is decomposed.And then,the numerical data is further classified.According to the different distribution characteristics of the sub-class,a correlation compression algorithm such as self-encoding network or differential encoding is used to perform experiments to remove redundancy.Finally,the analysis and reporting of abnormal values are carried out,which is of great significance for the future construction of smart grid.

关 键 词：相关性压缩 自编码网络 差分编码 异常分析和后处理 

分 类 号：TM732[电气工程—电力系统及自动化]