Hybrid Harmonic Estimation Based on Least Square Method and Bacterial Foraging Optimization

Abstract

Although many algorithms have been proposed for power system Harmonic Estimation (HE), most of them suffer from slow convergence and low accuracy. In this paper, a new HE strategy with real-time tracking of amplitude and phase angle of each harmonic component is presented. The proposed method employs linear Least Squares (LS) estimator and improved Bacterial Foraging Optimization (BFO) algorithm for phase angle and magnitude estimation, respectively. The proposed method decomposes the harmonics estimation problem into two problems; linear for amplitude estimation and nonlinear for phase estimation. The aim of this paper is to present an efficient and accurate approach for harmonic parameters estimation. Multiple scenarios are considered to evaluate efficiency and accuracy of the proposed technique. Simulation analysis and investigation of the effects on power system are carried out in MAT LAB and PSCAD software.