Artificial Gorilla Troops Optimizer for Tuning Power System Stabilizer Control Parameters

In this paper, application of meta-heuristic algorithm in the optimal control parameter tuning of power system stabilizers has been presented. A recently developed natural inspired gorilla troop optimization (GTO) has been considered for the selection of controller parameters. A well-known two area four machine test system has been modelled by incorporating power system stabilizers (PSS) in each generator to provide necessary damping for undesirable power oscillation. The damping provided by PSS under different system operating conditions will be based on the proper selection of controller parameter values. In this paper, the design of controller parameters has been based on improving damping ratio of system poles. An appropriate objective function has been designed to minimize system oscillation and optimal controller settings has been achieved using GTO algorithm.