Harmony Search Based Algorithm for Optimal Estimation of Hybrid Active Power Filter Parameters

In this paper, the Harmony Search Algorithm (HSA) is proposed to estimate the optimal parameters of a hybrid active power filter (HAPF). Mathematical modeling of an industrial plant with linear and nonlinear loads combined with HAPF is developed. Four cases of study have been simulated using MATLAB/Simulink software to evaluate the effective performance of the HSA in obtaining the optimal parameters under clean and distorted voltage source environment. The performance of the proposed HSA is assessed in terms of the voltage and current total harmonic distortion indices (VTHD) and ITHD, respectively. The performance of the proposed HSA is compared with that of the Fortran Feasible Sequential Quadratic Programing (FFSQP) and L-SHADE optimization algorithms. The simulation results show that the performance of the proposed HSA has superseded the performance of the previous mentioned algorithms.