An FFT Harmonic Parameter Estimation Algorithm with Window Interpolation for Secondary Equipment in Electric Energy Metering

Traditional FFT algorithms have certain limitations in harmonic analysis, such as spectral leakage and fence effects, which can affect the accuracy of harmonic parameter estimation. To this end, a window interpolation FFT harmonic parameter estimation algorithm is proposed for the secondary equipment of electric energy metering. Based on the characteristics of secondary equipment signals in electric energy metering, this paper discusses in detail the selection rules of window functions, analyzes the estimation formula of window width, and derives explicit estimation formulas for inter harmonic frequency, amplitude, and phase based on Hanning windows. Through simulation experiments and practical applications, it has been verified that the FFT based algorithm for estimating harmonic parameters in power systems can accurately estimate harmonic parameters, providing strong support for monitoring and controlling power quality.