摘要
标准电能计算受到电力系统中的谐波干扰,导致检定结果的可靠度不高。对此,提出基于传感数据特征识别的智能物联电能表示值误差检定方法。通过智能物联电能表的物联网接口,获取其内置传感器的数据。根据识别出的数据电压及电流特征,计算出标准电能,并优化该计算结果的谐波干扰。以此作为“标准表”,通过求解脉冲数,计算出电能表示值误差,完成检定过程。实验结果表明,该方法检定结果可靠度较高,偏差量仅为0.08%,重复性误差仅为0.007%,在智能物联电能质量管理领域有着良好的实践应用前景。
The calculation of standard electrical energy is affected by harmonic interference in the power system,resulting in low reliability of the calibration results.Therefore,an intelligent Internet of Things electric energy representation error verification method based on sensor data feature recognition is proposed.Obtain data from the built-in sensors of the smart Internet of Things energy meter through its Internet of Things interface.Based on the identified voltage and current characteristics of the data,calculate the standard electrical energy and optimize the harmonic interference of the calculation result.Using this as a“standard meter”,the error of the electrical energy representation value is calculated by solving the pulse number,completing the verification process.The experimental results show that this method has high reliability in the verification results,with a deviation of only 0.08%and a repeatability error of only 0.007%.It has good practical application prospects in the field of intelligent Internet of Things power quality management.
作者
杨睿
潘伟芳
YANG Rui;PAN Weifang(Jinhua Power Supply Company,State Grid Zhejiang Electric Power Co.,Ltd.,Jinhua,Zhejiang 321000,China)
出处
《智能物联技术》
2025年第4期46-49,共4页
Technology of Io T& AI
关键词
电能表示值
误差检定
示值误差
智能物联电能表
电能表误差
electric energy indication value
error verification
indication error
intelligent Internet of Things electricity meter
