Tunicate Swarm Algorithm for Power System Stability Enhancement in a SMIB-UPFC Network

In this paper tunicate swarm algorithm is employed to tune the power system stabilizer’s (PSS) parameters in a single machine infinite bus (SMIB) network incorporated with a unified power flow controller (UPFC). To enhance the damping of the system, the objective function based on the minimization of the damping ratio is addressed, and a widely utilized lead-lag compensator-type PSS structure is adopted. The algorithm’s ability to lead the PSS’s model regardless of the initial guess illustrates its robustness. The approach’s performance is investigated under three-phase faults, and the simulation findings verify the effectiveness of the proposed technique. The simulation results are compared to the backtracking search algorithm (BSA), a well-known population-based approach, in this sector that provides resilience in the suggested technique.