A Comparative Study of Novel Load Power Metering Windowed FFT Algorithm Under Non-Integer Cycle Sampling Conditions
With the increasing integration of renewable energy generation into the power grid,the inertia of the power system has significantly decreased.On the other hand,the introduction of impactful new loads such as high-speed trains,electric arc furnaces,and high-power charging stations has continuously disturbed the power system,leading to increased frequency fluctuations.However,when the system frequency fluctuates significantly,traditional Fast Fourier Transform(FFT)methods can suffer from spectral leakage and scalloping effects under non-integer cycle sampling conditions,which may result in considerable errors in energy metering.This paper addresses the accuracy issue of load power metering under non-integer cycle sampling conditions.It compares the applicability of FFT,Hanning window dual-peak spectrum interpolation FFT,and Blackman window dual-peak spectrum interpolation FFT algorithms.The findings reveal that FFT still outperforms the latter two in terms of fundamental frequency energy metering.However,for harmonic energy metering,the Hanning window dual-peak spectrum interpolation FFT algorithm clearly surpasses other algorithms.
frequency fluctuationsnovel loadenergy meteringFFTwindowed interpolation
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