Harmonic Contribution Evaluation of Multiple Harmonic Sources Based on Data Selection Method Considering Regression Coefficient Fluctuation

Due to the access of a large number of distributed energy sources and power electronic equipment, the power quality problems caused by harmonics have attracted widespread attention. Under the premise of grasping power quality monitoring data, it is urgent to determine the source of harmonics, in order to take targeted measures at the source and improve the power quality problems that occur in the system. This paper proposes a method to determine the harmonic contribution of each harmonic source in a multi-harmonic source system based on data selection method considering regression coefficient fluctuation. Firstly, an index factor for evaluating the harmonic contribution based on partial least squares of each harmonic source is established. Then the data selection method based on coefficient fluctuations in the regression model is used to select valid data segments. Finally, by analyzing the harmonic voltage and harmonic current data, the quantitative magnitude of the harmonic responsibility of each harmonic source is determined. The proposed method is convenient in calculation and strong in engineering practice. Simulation analysis and actual case verifies the effectiveness of the proposed method.