Industrial Harmonic Source Load Classification and Identification Method Based on Blind Source Separation
The traditional harmonic source identification method cannot solve the problem of non-intrusive identification of specific types of harmonic sources for industrial users.To solve the above problem,this paper proposes a method for identifying industrial harmonic source load subtypes based on blind source separation.This method facilitates non-intrusive identification of the specific type of harmonic source load,solely relying on the voltage and current data collected at the industrial customer's incoming line.First,starting from the load equivalent impedance model,a parallel circuit model with multiple load equivalent impedances for industrial users is established.Next,ensemble empirical mode decomposition and singular value decomposition are combined to determine the number of source impedance signals that constitute the integrated equivalent impedance signal of the monitoring points at the user's incoming line.Then,the fast independent component analysis is used to separate the harmonic source load equivalent impedance signal from the integrated equivalent impedance signal.Finally,the frequency characteristics of the separated harmonic source load equivalent impedance signal are matched with the typical harmonic source load,and then the subtype identification is realized.Both simulation and actual cases show that the proposed method can accurately identify the specific types of multiple harmonic source loads contained in industrial users,which obviously demonstrates its feasibility and practical applicability.
harmonic source identificationload equivalent impedanceblind source separationsource number estimation