Kaiser Self-convolution Window Harmonic Analysis Algorithm for Distributed Photovoltaic Power Generation Signal Processing

The spectrum is complex and the interference is serious when there are non-integer inter-harmonics. Aiming at this, a fourth-order Kaiser self-convolution window function obtained by convolution operation is proposed. Because of its characteristics, it can improve frequency resolution and reduce spectrum interference. At the same time, the spectral phase difference correction method is used to reduce the fence effect and reduce the amount of calculation. The simulation example analysis shows that the algorithm can accurately measure the harmonic and interharmonic parameters, has high measurement accuracy, and has certain anti-frequency interference.