A new optimization technique to measure frequency and harmonics in power systems

Abstract

This paper presents an optimization framework to estimate fundamental frequency and harmonics in power systems. The proposed technique includes a frequency tracking stage and a harmonic estimation layer. The architecture of the first layer which performs the frequency tracking task is based on the Newton and least-squares minimization techniques. The second layer extracts the frequency spectrum of the voltage/current waveform based on the descent search direction method which uses the estimated fundamental frequency by the previous stage. The simulation results in the MATLAB-Simulink prove faster estimation and more robust performance of the proposed technique in comparison with the three different methods which have been reviewed in this paper.