IMPERIALIST COMPETITIVE ALGORITHM FOR OPTIMAL SIMULTANEOUS COORDINATED TUNING OF DAMPING CONTROLLER

In this paper an evolutionary algorithm named Imperialist Competitive Algorithm (ICA) is employed for simultaneous coordinated tuning of damping controllers for damping the power system low frequency oscillations. ICA is a population-based optimization algorithm inspired by the socio-political process of imperialistic competition. The designing problem is restructured as an optimization problem and a power system stabilizer (PSS) and a supplementary controller for Static Var Compensator (SVC) are designed simultaneously, in 5- area 16-machine system. To show the effectiveness of the designed controllers, the study power system is tested under two conditions: applying a line-to-ground fault at a bus and a three phase fault at a bus. Moreover, the results obtained by the ICA are compared with the previous approaches reported in the literature. The simulation results show that the designed controllers have good capability in damping the power systems low frequency oscillations but the ICA performs better than other algorithms.