Mayfly Optimization Algorithm Applied to the Design of PSS and SSSC-POD Controllers for Damping Low-Frequency Oscillations in Power Systems

In this paper, it is proposed to apply the mayfly optimization algorithm (MOA) perform coordinated and simultaneous tuning of parameters supplementary damping controllers, i.e., power system stabilizer (PSS) oscillation (POD), that actuate together with automatic voltage regulators synchronous generators static series compensator (SSSC), respectively, for low-frequency oscillations in systems. The performance MOA compared performances genetic (GA) particle swarm (PSO) solving problem. dynamics represented using current sensitivity model, and, because that, a injections model SSSC, which uses proportional-integral (PI) controllers residues at buses, obtained from Newton–Raphson method. Tests were carried out New England two-area symmetrical system. Both dynamic analyses operation SSSC performed. To validate techniques, two sets tests conducted: first, purpose verifying most effective PSSs, PI, POD second, performing studies focused on small-signal stability. results have validated as well indicated superior problem, accrediting powerful tool stability