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文章摘要
高湿热环境下智能电能表计量误差特性分析
Analysis on measurement error characteristics of smart electricity meter under high humidity and temperature environment
Received:June 27, 2022  Revised:July 13, 2022
DOI:10.19753/j.issn1001-1390.2022.12.024
中文关键词: 智能电能表  高湿热环境  计量误差  运行特性
英文关键词: smart electricity meter, high humidity and temperature environment, metering error, operation characteristics
基金项目:国家电网公司科技项目,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
Lai Guoshu* Marketing Service Center,State Grid Fujian Electric Power Co.,Ltd. jxgc12345678@163.com 
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中文摘要:
      针对现场复杂环境对智能电能表运行特性作用机理不清晰的问题,借助高湿热环境长时间现场运行试验,研究智能电能表计量误差随日历时间变化规律,重点分析电流、温度、相对湿度、风速、光照、气压对电能表计量误差的影响,借助计量误差均值与标准差阐释电气和环境因素对智能电能表运行特性的影响规律,获得计量误差演变规律模型。通过量化电气和环境因素对电能表计量误差的影响,发现负载电流是影响智能电能表计量特性的最重要因素,温度和湿度是影响智能电能表计量特性的次重要因素,风速对电能表计量特性的影响最弱。研究结果对提高智能电能表可靠性和稳定性具有参考价值。
英文摘要:
      Aiming at the problem that the action mechanism of the complex environment on the smart energy meter is not clear, with the help of the long-term field operation test in the high humidity and heat environment, the variation law of the measurement error of the smart energy meter with the calendar time is studied, and the current, temperature, relative humidity, wind speed, The influence of light and air pressure on the measurement error of electric energy meter, the influence law of electrical and environmental factors on the operation characteristics of electric energy meter is explained by means of the mean value and standard deviation of measurement error, and the evolution law model of measurement error is obtained. By quantifying the influence of electrical and environmental factors on the measurement error of electric energy meters, it is found that the load current is the most important factor affecting the measurement characteristics of electric energy meters, temperature and humidity are the second most important factors affecting the measurement characteristics of electric energy meters, and the influence of wind speed on the measurement characteristics of electric energy meters weakest. The research results have reference value for improving the reliability and stability of smart meters.
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