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基于主成分分析法的电子式电能表计量性能影响研究 被引量:10

Study on the influence of static electricity energy meter based on principal component analysis
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摘要 由于现场运行的电子式电能表数量多,常会发生计量失准等情况,严重影响电力贸易结算的准确性和公平性。虽然电子式电能表安装前会进行误差检定,但是电子式电能表的现场运行情况复杂多变,实验室单一变量对电子式电能表综合性能研究无法完全满足其现场运行可靠性的评判。现场运行的电子式电能表电能计量过程引入的不确定度种类较多,需综合评判才能保证电子式电能表计量的准确性。本文以在运行的596万单相电子式电能表为样本库随机选取不同种类样本164只,依托主成分分析方法,查找影响电子式电能表准确计量的主要影响因子,为电子式电能表综合性能评价提供试验数据支撑;对电子式电能表进行基本误差试验,并结合历史基本误差试验数据和四种影响电子式电能表计量性能的因素进行数据比对。 Due to the large number of static electricity energy meter(SEEM)in field operation,SEEM often occurred with measurement misalignment,seriously affecting the accuracy and fairness of electricity trade settlement.Although SEEM will be a principal component analysis before installation,the field operation of the SEEM is complex and changeable,and the laboratory single variable cannot fully meet the evaluation on the reliability of the SEEM operation.The uncertainty of the electric energy measurement process of the SEEM in the field operation is great,so it needs a comprehensive evaluation to ensure the accuracy of the SEEM measurement.Based on the principal factor analysis method,164 samples of different kinds are randomly selected from 5.96 million single-phase SEEMs in operation,with the main factors affecting the accurate measurement of SEEMs found.
作者 李鹏 郭鹏程 李飒 王琨 LI Peng;GUO Pengcheng;LI Sa;WANG Kun(School of Water Resources and Hydroelectric Engineering,Xi'an University of Technology,Xi'an 710048,China;North China Electric Power Test and Research Institute,China Datang Corporation Science and Technology Research Institute Co.,Beijing 100040,China;Nuclear and Radiation Safety Center,Beijing 100082,China;State Grid Gansu Electric Power Research,Lanzhou 730070,China)
出处 《西安理工大学学报》 CAS 北大核心 2020年第2期263-268,共6页 Journal of Xi'an University of Technology
基金 国家自然科学基金资助项目(51839010)。
关键词 电子式电能表 主成分分析 首次检定 基本误差 static electricity energy meter principal component analysis initial verification fundamental error
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