2020年 06期

摘要(Abstract)：

针对智能电能表性能退化研究中计量误差较难准确估计的问题,考虑智能电能表运行环境温湿度影响,选取Peck加速寿命模型进行智能电能表加速寿命试验;采用线性回归拟合加速寿命试验数据,并用最小二乘法计算Peck加速模型的激活能与幂指数参数,建立智能电能表计量误差均值估计值与加速寿命试验结果的函数关系;利用加速寿命试验数据与实测数据对提出的智能电能表计量误差估计方法进行验证。结果表明:基于温湿度应力回归分析对智能电能表计量误差均值的最大估计误差为13%,远小于传统方法的最大估计误差28%。

关键词(KeyWords)： 状态评估;加速寿命模型;应力回归分析;智能电能表;计量误差

基金项目(Foundation): 河北省自然科学基金项目(E2020202204)

作者(Author): 罗群,刘春雨,王尧,张志龙,王维光,张文婷

DOI: 10.13349/j.cnki.jdxbn.20200629.001

参考文献(References)：

[1] BARAI G R,KRISHNAN S,VENKATESH B.Smart metering and functionalities of smart meters in smart grid:a review[C]//2015 IEEE Electrical Power and Energy Conference(EPEC),October 26-28,2015,London,ON,Canada.New York:IEEE,2015:138-145.

[2] BANSAL P,SINGH A.Smart metering in smart grid framework:a review[C]//2016 Fourth International Conference on Parallel,Distributed and Grid Computing(PDGC),December 22-24,2016,Waknaghat,India.New York:IEEE,2016:174-176.

[3] LUAN W P,LI W Y.Smart metering and infrastructure[M]//DAVID B.Smart Grids:Clouds,Communications,Open Source and Automation.USA:CRC Press,2014.

[4] 周莉,刘开培.电能计量误差分析与电能计费问题的讨论[J].电工技术学报,2005,20(2):63-68.

[5] 唐毅,江波,李红斌,等.数字电能计量系统检定方法综述[J].电工技术学报,2013,28(增刊2):372-377.

[6] 张垠,朱彬若.基于决策树群的多维电能表状态检验技术及其应用[J].电子器件,2018,41(5):1191-1195.

[7] LIU F X,HE Q,HU S Y,et al.Estimation of smart meters errors using meter reading data[C]//2018 Conference on Precision Electromagnetic Measurements(CPEM 2018),July 8-13,2018,Paris,France.New York:IEEE,2018:784.

[8] 王学伟,陈景霞,朱孟,等.智能电能表的全系统模型及其动态误差分析[J].中国电机工程学报,2018,38(21):6214-6222,6483.

[9] 徐晴,周超,纪峰.计量芯片数据溢出对智能电能表计量误差的影响[J].电测与仪表,2013,50(增刊1):132-136.

[10] 罗群,刘春雨,张家安,等.智能电能表状态检验评价指标体系及在线平台开发[J].电测与仪表,2017,54(17):94-99,111.

[11] 张景元,何玉珠,崔唯佳.基于多应力退化模型的智能电表可靠寿命预估[J].北京航空航天大学学报,2017,43(8):1662-1669.

[12] 查国清,黄小凯,康锐.基于多应力加速试验方法的智能电表寿命评估[J].北京航空航天大学学报,2015,41(12):2217-2224.

[13] 姚力,章江铭,胡瑛俊,等.智能电能表运行可靠性数据处理方法研究[J].科技通报,2018,34(10):125-129.

[14] VISALATCHI S,SANDEEP K K.Smart energy metering and power theft control using Arduino & GSM:automated smart metering[C]//2017 2nd International Conference for Convergence in Technology(I2CT),April 7-9,2017,Mumbai,India.New York:IEEE,2017:858-961.

[15] BERNIERI A,BETTA G,FERRIGNO L,et al.Electrical energy metering in compliance with recent European standards[C]//2012 IEEE International Instrumentation and Measurement Technology Conference Proceedings,May 13-16,2012,Graz,Austria.New York:IEEE,2012:1541-1545.

[16] 张蓬鹤,肖成东,薛阳,等.基于MATLAB/SIMULINK的智能电表寿命预测仿真模型[J].电测与仪表,2014,51(23):11-17.

[17] 张垠,朱彬若,顾臻,等.关于智能电能表运行仿真试验及评价方法的探讨[J].华东电力,2014,42(10):2038-2042.

[18] 管光宝,凌勇,俞浩新.高温贮存寿命评估试验[J].电子与封装,2014,14(5):37-41.

[19] 李亦非,邹战明,祁邦彦,等.基于寿命应力模型的电能表加速寿命试验研究[J].现代电子技术,2011,34(20):167-170.

[20] SHEN C N,YANG X W,CHANG C,et al.The study of activation energy (Ea) by aging and high temperature storage for quartz resonator’s life evaluation[C]//Proceedings of the 2010 Symposium on Piezoelectricity,Acoustic Waves,and Device Applications,December 10-13,2010,Xiamen,China.New York:IEEE,2010:118-122.