Abstract:With the continuous expansion of AC/DC distribution network, low-voltage distribution technology has received widespread attention and development. However, harmonic components account for a higher percentage and harmonic amplitudes and frequencies exhibit time-varying characteristics, the problem of power quality has become increasingly prominent. So, the fast Fourier transform (FFT) windowed interpolation method with longer sequences is slow in responding to harmonic measurements, making it unsuitable for applications that require rapid response such as protective relaying. Aiming at this problem, a harmonic parameter estimation method based on binary interpolation is proposed. Firstly, a dynamic signal model is established using Taylor series. Secondly, FFT is used to sweep the frequency of a waveform to obtain a roughly estimated frequency. And then, a binary iteration interpolation method is employed, along with coefficient correction, to obtain the estimated frequency. Based on the estimated frequency and dynamic signal model, a least squares fitting method is used to solve the signal parameters. Finally, the algorithm′s performance is verified under different operating conditions. Simulation results show that the proposed method achieves precise measurement of dynamic signal parameters using only one cycle of data, with total vector error (TVE) consistently below 0.1%, which provides an effective approach for data analysis in fast response applications.