HFAGC based on MOPSO technique: Optimal design, comparison, verification

Good recovery of power system's synchronism in the affected eclectic power system caused by the loading condition changes is the main target of Automatic Generation Control (AGC). Accomplished endeavors are led to suggest Hierarchical Fuzzy AGC (HFAGC) in multi-area interconnected power system aimed at alleviating both prominent issues i.e.: the low frequency power oscillations and the tie-line power exchange deviations. In this regard, application of multi-objective optimization technique isn't avoidable. Due to high performance of Multi Objective Particle Swarm Optimization (MOPSO) in solving non-linear objectives, it has been engaged to unravel the optimization problem and optimal tune the HFAGC. To confirm the high efficiency and robustness of suggested controller, two different multi-area interconnected power systems have been taken into account for this study. Meantime, the potency of HFAGC has been thoroughly appraised and compared with Conventional AGC (CAGC) via occurrence of the Step Load Perturbation (SLP) in both these test power systems. To sum up, the simulations results have transparently corroborated the high performance of HFAGC as compared with CAGC in both the test power systems.