Power system stabilizers (PSS) are now routinely used

in the industry to damp out power system oscillations. In this paper,

real-coded genetic algorithm (RCGA) optimization technique is

applied to design robust power system stabilizer for both singlemachine

infinite-bus (SMIB) and multi-machine power system. The

design problem of the proposed controller is formulated as an

optimization problem and RCGA is employed to search for optimal

controller parameters. By minimizing the time-domain based

objective function, in which the deviation in the oscillatory rotor

speed of the generator is involved stability performance of the

system is improved. The non-linear simulation results are presented

under wide range of operating conditions disturbances at different

locations as well as for various fault clearing sequences to show the

effectiveness and robustness of the proposed controller and their

ability to provide efficient damping of low frequency oscillations.-Power system stabilizers (PSS) are now routinely used

in the industry to damp out power system oscillations. In this paper,

real-coded genetic algorithm (RCGA) optimization technique is

applied to design robust power system stabilizer for both singlemachine

infinite-bus (SMIB) and multi-machine power system. The

design problem of the proposed controller is formulated as an

optimization problem and RCGA is employed to search for optimal

controller parameters. By minimizing the time-domain based

objective function, in which the deviation in the oscillatory rotor

speed of the generator is involved　stability performance of the

system is improved. The non-linear simulation results are presented

under wide range of operating conditions　disturbances at different

locations as well as for various fault clearing sequences to show the

effectiveness and robustness of the proposed controller and their

ability to provide efficient damping of low frequency oscillations.