Power Grid Harmonic Analysis Using Hamming Window Interpolation for Calculating Harmonic Frequency, Amplitude, and Phase Angle

Power grid harmonic analysis is a computational method for determining harmonic frequency, amplitude, and phase angle in electrical networks. This analytical approach utilizes Hamming window interpolation technology to significantly improve calculation accuracy. The Hamming window interpolation technique is fundamentally based on Fast Fourier Transform (FFT) algorithms, but enhances them through strategic windowing and interpolation processes that deliver more precise characterization of power grid harmonics. Implementation typically involves applying a Hamming window function to the time-domain signal before performing FFT analysis, which reduces spectral leakage effects. The interpolation algorithm then processes adjacent FFT bins using polynomial fitting methods to precisely locate harmonic frequencies between discrete frequency bins. This approach enables sub-bin frequency resolution and improves amplitude and phase measurements by compensating for windowing effects. Key computational steps include: window function application to raw signal data, FFT transformation to obtain frequency spectrum, peak detection in the frequency domain, and interpolation calculations using adjacent spectral lines to refine harmonic parameters. Through Hamming window interpolation implementation, engineers can obtain more detailed and accurate harmonic analysis results with reduced measurement errors, particularly for closely spaced harmonics and low signal-to-noise ratio conditions.