智能电能表的全系统模型及其动态误差分析
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  • 英文篇名:Whole-system Model of Smart Electricity Meter and Analysis of Dynamic Errors
  • 作者:王学伟 ; 陈景霞 ; 朱孟
  • 英文作者:WANG Xuewei;CHEN Jingxia;ZHU Meng;College of Information Science & Technology, Beijing University of Chemical Technology;
  • 关键词:智能电能表 ; 全系统模型 ; 有功功率测量 ; 有功电能测量 ; 动态误差 ; 动态负荷
  • 英文关键词:smart electricity meter;;whole-system model;;active power measurement;;electric energy measurement;;dynamic error;;dynamic load
  • 中文刊名:ZGDC
  • 英文刊名:Proceedings of the CSEE
  • 机构:北京化工大学信息科学与技术学院;
  • 出版日期:2018-11-05
  • 出版单位:中国电机工程学报
  • 年:2018
  • 期:v.38;No.608
  • 基金:国家自然科学基金项目(51577006)~~
  • 语种:中文;
  • 页:ZGDC201821003
  • 页数:10
  • CN:21
  • ISSN:11-2107/TM
  • 分类号:22-30+291
摘要
电网中特大功率负荷的功率动态变化对智能电能表产生不同程度的影响,甚至引起较大误差。为了分析智能电能表动态误差的来源,该文采用机理建模的方法分别建立智能电能表电压通道、具有可编程增益放大器(programmable gain amplifier,PGA)增益反馈控制的电流通道、有功功率测量单元及电能测量单元的动态数学模型,并集成各单元之间的信号传递关系,综合建立智能电能表全系统模型。以此为基础,建立动态误差仿真平台,分析各单元的模型参数对有功电能动态误差的影响。通过搭建动态误差测试系统,测试典型电能表的动态误差,与仿真分析结果的对比表明,该文提出的全系统模型可用于分析电能表动态条件下的内部误差影响因素、明确误差来源。研究结果可为后续提高智能电能表的动态性能提供定量的决策参考。
        The dynamic change of superpower load in the power grid can affect the smart electricity meters at different degree, and even cause large data errors. In order to analyze the sources of dynamic errors, four models were established firstly by mechanism analysis including voltage channel model, current channel model with gain feedback control of programmable gain amplifier, active power measurement module model and energy measurement module model. Secondly, the whole-system model of smart electricity meter was set up synthetically by integrating the signal transmission relationship between each module. On this basis, a dynamic error simulation platform was built to analyze the influence of each model parameters on measurement errors. Finally, a dynamic error testing system was established to test the dynamic errors of the smart electricity meter, and the correctness of the whole-system model was verified by comparing the measured dynamic errors and simulation errors. The test result shows that the whole-system model proposed in this work can be used to analyze the influence factors and make clear the source of the dynamic errors. The study results can provide a quantitative reference for the dynamic performance research of smart meters.
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