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作 者:陈刚[1] 徐敏锐[1] 穆小星 郭云春 陈飞[1] 黄道 CHEN Gang;XU Minrui;MU Xiaoxing;GUO Yunchun;CHEN Fei;HUANG Dao(Key Laboratory of Electric Energy Measurement of State Grid Corporation(Marketing Service Center of State Grid Jiangsu Electric Power Co.,Ltd.,),Nanjing 210019,China;State Grid Jiangsu Electric Power Co.,Ltd.Yangzhou Power Supply Branch,Jiangsu Yangzhou 225000,China;Fujian Yirong Information Technology Co.,Ltd.,350003,China)
机构地区:[1]国家电网公司电能计量重点实验室(国网江苏省电力有限公司营销服务中心),南京210019 [2]国网江苏省电力有限公司扬州供电分公司,江苏扬州225000 [3]福建亿榕信息技术有限公司,福州350003
出 处:《电力电容器与无功补偿》2020年第6期83-88,共6页Power Capacitor & Reactive Power Compensation
基 金:国家电网公司科技项目(面向电能贸易结算的电子式互感器计量运行态势多维度分析及风险评估研究)。
摘 要:针对电子式互感器长期稳定性差、运行时间短的问题,简要设计了基于IEC61850的电子式互感器在线监测系统,搭建了基于大数据的电子式互感器在线监测分析平台,选择HDFS进行海量数据存储,选择ROLAP、MOLAP进行数据分析与筛选。结合常规星形模型连接操作开销大、数据冗余量大的缺点,给出了基于无连接层次编码的电子式互感器在线监测数学模型,实现对常规模型的改进,将维信息表通过编码方式压缩后存储到事实表,减小存储开销。试验结果表明本文模型的加载速度是常规模型的44%左右,存储开销约为常规模型的30%~40%左右,具有可行性,为电网大数据分析提供了一种新的思路。In view of such problem of electronic instrument transformer as weak long⁃term stability and short operation time,the online monitoring system of electronic instrument transformer based on IEC61850 is briefly designed.An online monitoring and analysis platform of electronic instrument transformer based on big data is set up.The HDFS is selected for mass data storage and ROLAP and MOLAP are selected for data analysis and screening.The on line monitoring mathematical model of the electronic instrument trans⁃former based on the connection⁃less hierarchical coding is given with consideration of such shortcomings of conventional star model as high connection operation cost and large data redundancy so to achieve the im⁃provement of the conventional model.The dimension information table is compressed by coding and stored in fact table to reduce storage overhead.It is shown by the test result that the loading speed of this model is about 44%of that of the conventional model and the storage cost is about 30%~40%of that of the conventional model.This model has feasibility and provides a new idea for the analysis of large⁃scale data in power grid.
分 类 号:TM45[电气工程—电器] TP311.13[自动化与计算机技术—计算机软件与理论]
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