高海拔典型环境下电能表误差与环境影响因素研究
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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.
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.
引文
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[2]陈开运.高海拔电气设备工作特点及设计要求[J].机动车传动,2005,(2):19-22.Chen Kaiyun.Working characteristics and design requirement of electric equipment for high height above sea level[J].Electric Drive for Locomotives,2005,(2):19-22.
[3]彭岩.高海拔项目电源设备的选择[J].现代建筑电气,2015:56-60.Peng Yan.Power Equipment Selection of Highn Altitude Project[J].MAE,2015:56-60.
[4]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.Reserch on the Relationship Between Electic Energy Meter Falut and Region Climate&Load Different Industries[J].Electric Power,2017,50(8):98-105.
[5]何永全.试析电能表误差的影响因素及现场校验[J].科技资讯,2014,(33):82.He Yongquan.Analysis of the Influencing Factors of Meter Error and Site Verification[J].Technology Information,2014,(33):82.
[6]王春雨.多维条件对电子式电能表计量性能影响的建模研究及应用[D].中国电力科学研究院,2015.
[7]孙洋,韩东,刘华,等.电子式电能表低温环境计量性能分析[J].黑龙江电力,2014,(6):521-523,528.Sun Yang,Han Dong,Liu Hua,et al.Analysis of Metering Performance of Electronic Energy Meter in the Environment of Low Temperature[J].Heilongjiang Electic Power,2014,(6):521-523,528.
[8]李芳红,夏新华.环境温度变化对电能表检定结果的影响及其补偿措施[J].计量技术,2001,(7):38-39.Li Fanghong,Xia Xinhua.The Influence of Ambient Temperature on Power Meter Verification Results and Their Compensation Measures[J].Metering Technology,2001,(7):38-39.
[9]殷鑫,陆以彪,韩东,等.温度影响下的智能电能表误差模型[J].电测与仪表,2017,54(8):85-88.Yin Xin,Lu Yibiao,Han Dong,et al.The Error Model of Smart Meter under the Influence of Temperature[J].Electical Measurement&Instrumentation,2017,54(8):85-88.
[10]Tianqi Chen,Carlos Guestrin.XGBoost:A Scalable Tree Boosting System[C].ACM SIGKDD International Conference on Knowledge Discovery&Data Mining,2016:785-794.
[11]张钰,陈珺,王晓峰,等.Xgboost在滚动轴承故障诊断中的应用[J].噪声与振动控制,2017,37(4):166-170.Zhang Yu,Chen Jun,Wang Xiaofeng,et al.Application of Xgboost to Fault Diagnosis of Rolling Bearings[J].Noise and Vivration Control,2017,37(4):166-170.