Reliability Analysis and Improvement of Smart Electric Energy Meter Considering Field Verification

doi:10.11930/j.issn.1004-9649.201812099

Abstract

Abstract: In order to solve the problem of 8-year expiration replacement of smart electric energy meters, three schemes for electric energy meter replacement are introduced and analyzed. The improvement of the production level of smart energy meters has provided a necessary basis for extending the replacement period of electric energy meters. In view of the scheme of extending the replacement period with field verification method, a correction is made of the operation life process of the electric energy meter based on Weibull distribution analysis considering the climatic factors of different regions and the influence of the field verification result of the electric energy meters. The theoretical analysis and actual application have proved the feasibility of the proposed method, which will provide a reference for extending the replacement period of the smart electric meters.

Key words: smart electric energy meter, replacement, field verification, Weibull distribution

CLC Number:

TM930

XIE Jinjun, ZHOU Wenbin, LIU Shifeng, JIANG Zijuan, JIN Yang, ZHAO Lei. Reliability Analysis and Improvement of Smart Electric Energy Meter Considering Field Verification[J]. Electric Power, 2019, 52(10): 79-84.

Add to citation manager EndNote|Ris|BibTeX

URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.201812099

https://www.electricpower.com.cn/EN/Y2019/V52/I10/79

References

[1] 黄艳, 周文斌, 吴晓昱, 等. 智能电能表的发展应用及误差调整[J]. 电测与仪表, 2012, 49(增刊1):36−40. HUANG Yan, ZHOU Wenbin, WU Xiaoyu, et al. Development and the way of error adjustment of smart electricity meter[J]. Electrical Measurement & Instrumentation, 2012, 49(S1):36−40.
[2] 韩志强, 周碧红, 佘寻峰, 等. 我国电能表行业发展趋势预估[J]. 上海计量测试, 2018(增刊1):11−14. HAN Zhiqiang, ZHOU Bihong, SHE Xunfeng, et al. The forecast of the development trend of the electrical energy meter industry in China[J]. Shanghai Measurement and Testing, 2018(S1):11−14.
[3] 袁金灿, 马进, 王思彤, 等. 智能电能表可靠性预计技术[J]. 电力自动化设备, 2013, 33(7):161-166 YUAN Jincan, MA Jin, WANG Sitong, et al. Reliability prediction of smart electrical energy meter[J]. Electric Power Automation Equipment, 2013, 33(7):161-166
[4] 中国计量测试协会. 二级注册计量师基础知识及专业实务[M]. 北京:中国质检出版社, 2017.
[5] 陈昊南. 让电能表多工作50%的时间——上海开启智能电能表状态轮换新模式[J]. 国家电网, 2018(3):36-41
[6] 陆祖良. 关于电能表现场检定的讨论[J]. 电测与仪表, 2011, 48(1):1-5 LU Zuliang. Discussion for on-site verification of electrical energy meter[J]. Electrical Measurement & Instrumentation, 2011, 48(1):1-5
[7] 李作锋, 黄奇峰, 郑爱霞, 等. 提高电能表现场校验仪抵御温度干扰能力的技术[J]. 中国电力, 2016, 49(4):27-31 LI Zuofeng, HUANG Qifeng, ZHENG Aixia, et al. Technology research on improving anti-temperature interference for watt-hour-meter field calibrator[J]. Electric Power, 2016, 49(4):27-31
[8] 于晓红, 张来斌, 王朝晖, 等. 基于新的威布尔分布参数估计法的设备寿命可靠性分析[J]. 机械强度, 2007, 29(6):932-936 YU Xiaohong, ZHANG Laibin, WANG Zhaohui, et al. Reliability life analysis of the equipment based on new Weibull distribution parameter estimation method[J]. Journal of Mechanical Strength, 2007, 29(6):932-936
[9] 刘金涛, 刘慧敏. 基于分层分阶段抽样的电能表质量跟踪技术研究[J]. 中国测试, 2012, 38(4):40-43 LIU Jintao, LIU Huimin. Quality tracing method of electronic energy-meters based on stratified and staged sampling[J]. China Measurement & Test, 2012, 38(4):40-43
[10] 郭丽娟, 刘延泉, 巨汉基, 等. 基于元器件应力法的智能电表可靠性预计研究[J]. 计算机仿真, 2014, 31(1):149-153 GUO Lijuan, LIU Yanquan, JU Hanji, et al. Intelligent electric energy meter reliability prediction research based on component stress method[J]. Computer Simulation, 2014, 31(1):149-153
[11] 程林, 何剑. 电力系统可靠性原理和应用[M]. 北京:清华大学出版社, 2015.
[12] 徐人恒, 依溥治, 王海滨, 等. 基于威布尔分布的电能表可靠性分析[J]. 自动化与仪器仪表, 2017, 24(7):56-58 XU Renheng, YI Puzhi, WANG Haibin, et al. Reliability analysis of electric energy meter based on Weibull distribution[J]. Automation and Instrumentation, 2017, 24(7):56-58
[13] 薛阳, 杜新纲, 张蓬鹤, 等. 电能表故障与地域气候、行业负荷关系研究[J]. 中国电力, 2017, 50(8):98-105 XUE Yang, DU Xingang, ZHANG Penghe, et al. Research on the relationship between electric energy meter fault and regional climate & load in different industries[J]. Electric Power, 2017, 50(8):98-105
[14] 徐微, 胡伟明, 孙鹏, 等. 基于两参数威布尔分布的设备可靠性预测研究[J]. 中国工程机械学报, 2013, 11(2):112-116 XU Wei, HU Weiming, SUN Peng, et al. Equipment reliability prediction based on dual-parametric Weibull distribution[J]. Chinese Journal of Construction Machinery, 2013, 11(2):112-116
[15] 王玉龙, 金灿, 冉红亮, 等. 威布尔分布备件的蒙特卡洛模拟配置[J]. 辽宁工程技术大学学报(自然科学版), 2018, 37(1):159-162 WANG Yulong, JIN Can, RAN Hongliang, et al. Monte-carlo simulation allocation of Weibull distribution spare parts[J]. Journal of Liaoning Technical University(Natural Science), 2018, 37(1):159-162