中南民族大学学报（自然科学版）2022，Vol.41Issue(6)：682-688,7.DOI:10.20056/j.cnki.ZNMDZK.20220607
一类电压采样电阻异常的电能表计量失准研究
Study of measurement inaccuracy for an electric energy meter with abnormal voltage sampling resistance
摘要
Abstract
Aiming at the measurement inaccuracy of a kind of electric energy meter with abnormal voltage sampling resistance，a measurement inaccuracy judgment method based on neural network model is proposed. The reason of the meter's measurement inaccuracy is analyzed，the neural network model is constructed to predict the residual change of the voltage sampling value，and the control limit λ of the residual Mahalanobis distance d is obtained by using the kernel density estimation method. The effectiveness of the proposed method is verified by simulation，and the following judgment rules are obtained：when d > λ，the metering of electric energy meter is inaccurate；When d ≤ λ，the metering of electric energy meter is normal. The method proposed can predict the abnormal state of electric energy meter in advance and eliminate the hidden dangers of power consumption safety.关键词
计量失准/神经网络/电能表/电压采样电阻/核密度估计法Key words
measurement inaccuracy/neural networks/electric energy meter/voltage sampling resistance/kernel density estimation分类
信息技术与安全科学引用本文复制引用
朱铮,陈海宾,蒋超,甄昊涵,许堉坤,童涛..一类电压采样电阻异常的电能表计量失准研究 [J].中南民族大学学报（自然科学版）,2022,41(6):682-688,7.基金项目
国家电网专项资助项目 （）
