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高海拔典型环境下电能表误差与环境影响因素研究 被引量:7

Study on error of meter with environmental factors under high altitude typical environment
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摘要 利用国网西藏典型环境试验基地监测平台的电能表基本误差试验数据,对高海拔环境下电能表误差与环境因素的关系进行了分析。首先通过建立XGBoost模型,利用环境数据,准确识别并预测了电能表超差。然后,通过建立多元线性回归模型,定量分析了环境因素对电能表误差的影响。最终得出环境因素中气温是影响电能表超差、误差数值的最重要因素,光照和湿度的影响也比较重要,风速、气压、雨雪的影响较小。 In this paper, the basic error test data of meter, extracted from the monitoring platform in Tibet typical environments built by the State Grid is adopted to analyze the relationship between the error of meter and environmental factors under high-altitude environment. First of all, the environmental data is used to accurately identify and predict the out of tolerance of meter error through the establishment of XGBoost model. Then, the quantitative analysis of the environmental factors on the meter error has been done by establishing the multiple linear regression model. Finally, it is concluded that temperature is the most important environmental factor that affects out of tolerance and the value of meter error, and the influence of humidity and rays of the sun is more important. Wind speed, air pressure, rain and snow have little effect on the error of meter.
作者 郑江 陈龙 袁卫 董世芳 伍应衡 张力平 Zheng Jiang;Chen Long;Yuan Wei;Dong Shifang;Wu Yingheng;Zhang Liping(Electric Power Research Institute of State Grid Tibet Electric Power Supply Company, Lhasa 850000,China;Sales Department of State Grid Tibet Electric Power Supply Company, Lhasa 850000,China)
出处 《电测与仪表》 北大核心 2019年第9期135-140,共6页 Electrical Measurement & Instrumentation
基金 国家电网公司总部科技资助项目(5442JL160013)
关键词 高海拔 电能表误差 超差 XGBoost算法 多元线性回归 high-altitude error of meter out of tolerance XGBoost algorithm multiple linear regression
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