基于谐波分析的感应式电能计量误差自动矫正方法

Automatic Error Correction Method for Induction Energy Measurement Based on Harmonic Analysis

当前感应式电能计量误差矫正通常只能在实验室或特定的检测环境中进行,需要人工干预和操作,导致电压谐波幅值波动较大,为此研究基于谐波分析的感应式电能计量误差自动矫正方法。通过谐波分析确定其中的谐波幅值,深入了解谐波对电能表计量的影响。建立感应式电能表计量误差校正模型,对实际测量结果与理论值进行比较和分析。确定相应的系数以矫正计量误差,提高电能计量的准确性和可靠性。实验结果表明:与基于深度学习的矫正方法和基于频域分析的矫正方法相比,基于谐波分析的感应式电能计量误差自动矫正方法进行计量误差矫正时电压谐波幅值稳定在0.05%以内,稳定性更好。

The current error correction of induction energy metering can only be carried out in laboratories or specific testing environments,requiring manual intervention and operation,resulting in significant fluctuations in voltage harmonic amplitude.Therefore,a method for automatic error correction of induction energy metering based on harmonic analysis is studied.Determine the amplitude of harmonics through harmonic analysis,and gain a deeper understanding of the impact of harmonics on electricity meter measurement.Establish a measurement error correction model for induction energy meters,and compare and analyze actual measurement results with theoretical values.Determine the corresponding coefficients to correct measurement errors and improve the accuracy and reliability of electricity metering.The experimental results show that compared with deep learning based correction methods and frequency-domain analysis based correction methods,the automatic correction method of induction power metering error based on harmonic analysis for measurement error correction stabilizes the voltage harmonic amplitude within 0.05%and has better stability.