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作 者:王长瑞 郝利法 WANG Changrui;HAO Lifa(Jicheng Electronics Co.,Ltd.,Jinan,Shandong Province,250104 China)
出 处:《科技资讯》2025年第4期127-129,共3页Science & Technology Information
摘 要:由于智能电网电能量计量误差特征提取不完整,导致电能量计量比差拟合曲线波动较大,因此,设计了一种基于大数据分析的智能电网电能量计量误差辨析方法。基于大数据分析技术,了解电网信息,确定传感器的最佳安装位置,获取智能电网的运行数据;提取电能量计量的误差特征,识别潜在的误差源;对各个误差组成部分的时间序列数据进行稳定性评估,确定数据统计特性,找出造成计量误差的具体原因。结果表明,该设计方法能够精准地检测三相智能电能表的电能量计量比差拟合曲线,并且波动较小,证明该方法更适用于实际应用。Due to incomplete feature extraction of smart grid electric energy measurement error,the fitting curve of electric energy measurement ratio difference fluctuates greatly.Therefore,a method of discrimination of smart grid electric energy measurement error based on big data analysis is designed.Based on big data analysis technology,understand the power grid information,determine the best installation location of sensors,and obtain the operation data of smart grid.The error characteristics of electric energy measurement are extracted and the potential error sources are identified.The stability of the time series data of each error component is evaluated,the statistical characteristics of the data are determined,and the specific causes of measurement errors are identified.The results show that the design method can accurately detect the fitting curve of the electric energy metering ratio difference of the three-phase smart energy meter,and the fluctuation is small,which proves that the method is more suitable for practical application.
关 键 词:大数据分析 智能电网 电能量计量 误差辨析 三相智能电能表
分 类 号:TP183[自动化与计算机技术—控制理论与控制工程]
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