Harmonics Estimation in Power Systems using a Fast Hybrid Algorithm

In this paper a novel hybrid algorithm for harmonics estimation in power systems is proposed. The estimation of the harmonic components is a nonlinear problem due to the nonlinearity of phase of sinusoids in distorted waveforms. Most researchers implemented nonlinear methods to extract the harmonic parameters. However, nonlinear methods for amplitude estimation increase time of convergence. Hence, hybrid methods are used for the harmonics estimation. These methods use linear approaches for amplitude and nonlinear approaches for phase estimations. This paper focuses on introducing a fast and precise approach for harmonics estimation. This approach is based on a fast adaptive search method i.e., Adaptive Particle Swarm Optimization (APSO)for phase estimation and a linear estimator i.e., Least Squares (LS) for amplitude estimation. The speed of convergence and accuracy of estimation are the main contributions of the presented method. Obtained results by MATLAB codes indicate the accuracy and highperformance of the APSO-LS.

Keywords:

Harmonics estimation , Adaptive particle swarm optimization (APSO) , Least squares (LS)