Method Based On Improved FastICA-LSM For Harmonic Detection In Power System

Abstract

With the continuous improvement of people's demand for electricity, the topological structure of power grid is becoming more and more complex and the load is becoming more and more diverse. The power quality problem has attracted much attention, among which harmonic analysis is an important research basis. This paper proposes a harmonic detection method based on an improved fast independent component analysis (FastICA)-least squares method (LSM).This method is on the basis of the traditional FastICA. In order to solve the sensitivity of the algorithm to the initial value, the initial value is redefined when calculating the de-mixing matrix. And LSM to analyze the amplitude and phase of the separated signal. At the same time, with the view of reducing the number of iterations of harmonic detection, the traditional second-order convergence Newton's iteration is improved to extract the harmonic and fundamental signals in the mixed signal in the form of fifth-order convergence. Finally, the paper validates the method using analog signals and real signals. The results show that this method has fast detection speed and high accuracy, and is superior to other methods reported in the literature.