Harmonic Estimation of Modern Power System Using Improved Grey Wolf Optimization- Based Recursive Least Square Approach

Abstract

The integration of inverter interfaced distributed generations (IIDGs) in conventional power system greatly affect the power quality in terms of harmonics modulation. Hence accurate estimation of power system harmonics is highly desired to design proper filters for harmonics mitigation. This article presents a hybrid optimized technique combining improved grey wolf optimization (IGWO) and recursive least square (RLS) to estimate harmonics. The IGWO used for predicting the phase and RLS is used for determining amplitude of the signal. The performance of the proposed IGWO-RLS is tested using standard testing module. MATLAB/SIMULINK is used for signal generation and estimation. The efficacy of proposed estimation technique is verified in presence of noise and comparing with other hybrid estimation algorithm.