ROBUST TUNING OF PSS CONTROLLER BASED ON IMPERIALIST COMPETITIVE ALGORITHM

It is the purpose of this paper to multiobjective design of the single-machine Power System Stabilizers (PSSs) using Imperialist Competition Algorithm (ICA). The ability of the proposed approach for optimal setting of the widely used Conventional Power System Stabilizers (CPSSs) has been attended. The PSSs parameters designing problem is converted to an optimization problem with a multi-objective function including the desired damping factor and the desired damping ratio of the power system modes, which are solved by the ICA algorithm. The capability of the proposed approach is confirmed on a single-machine power system under different operating conditions and disturbances. The results of the proposed approach are compared with the Genetic Algorithm (GA) based tuned PSS through some performance indices to reveal its strong performance.