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文章摘要
高海拔环境下智能电能表运行稳定性分析
The operation stability of smart electrical meters under high altitude environmental conditions
Received:July 13, 2020  Revised:August 16, 2020
DOI:10.19753/j.issn1001-1390.2020.04.004
中文关键词: 电能表稳定性  功率误差  温度  湿度  功率因数
英文关键词: smart  electrical meters  stability, power  error, temperature, humidity, power  coefficient
基金项目:基于典型环境的智能电能表应力叠加效应可靠性技术研究(5230HQ19000F)
Author NameAffiliationE-mail
Yuan Wei Electric Power Research Institute of State Grid Tibet Electric Power Supply Company,Tibet yuanwei@xz.sgcc.com.cn 
Yu Fan* Electric Power Research Institute of State Grid Tibet Electric Power Supply Company,Tibet 1048000818@qq.com 
Yuan Shiwei Sales Department Of State Grid Tibet Electric Power Supply Company yuanshwen@xz.sgcc.com.cn 
Yang Qi Sales Department Of State Grid Tibet Electric Power Supply Company 16995053@qq.com 
Qin Bin Electric Power Research Institute of State Grid Tibet Electric Power Supply Company,Tibet qb428@163.com 
Zhang Hongfeng Electric Power Research Institute of State Grid Tibet Electric Power Supply Company,Tibet 269184759@qq.com 
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中文摘要:
      针对环境影响智能电能表运行稳定性的问题,通过在西藏羊八井高海拔环境下开展长时间现场运行试验,研究智能电能表功率误差在实际运行过程中伴随日历时间的演化过程。通过分析在不同功率因数和电流条件下功率误差演变的差异性,发现流过电能表的电流越小,电能表功率误差越大。通过分析在不同温度、湿度、辐照条件下电能表功率误差的变化阐明环境因素对电能表运行稳定性的影响,发现当流过电能表的电流大小相同时,纯阻性负载和容性负载对电能表功率误差影响的差异性较小,但在感性负载下电能表功率误差较大。研究结果对提高智能电表可靠性和稳定性具有参考价值。
英文摘要:
      The stability of smart electricity meters was severely influenced by operation environment, this paper investigated the evolution processes of power error of smart electricity meters with calendar time, based on the field operating testing at Yangbajing in Xizang. The influences of power coefficient and basic current on power error of smart electricity meters were identified by analyzing the differences of power error under various electrical testing conditions. The impacts of temperature, humidity, and beam on power error of smart electricity meters were calculated and discussed according to the changing of power error of smart electricity meters under different environmental conditions. The results may provide guidance to improve the reliability and stability of smart electricity meters.
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