Harmonic liability division based on data pre-screening and system side harmonic impedance classification estimation

Aiming at the problem that the accuracy of traditional harmonic responsibility division is affected due to the fluctuation of background harmonic voltage and the variation of system harmonic impedance in the real power system, a multiharmonic source responsibility division method based on the pre-screening of user-side data and the classification estimation of system harmonic impedance is proposed. First, user-side dominant fluctuation data screening is performed based on correlation analysis; second, system harmonic impedance data are classified based on the DBSCAN density clustering method; finally, system-side harmonic impedance is estimated based on the classified iteration of the screened dataset and harmonic liability delineation is performed. The simulation results demonstrate that the method presented in this paper effectively mitigates the impact of background harmonic voltage fluctuations and variations in system-side impedance, leading to more accurate classifications of harmonic responsibility.