Robust tuning of power system stabilizer for small signal stability enhancement using metaheuristic bat algorithm

In this paper, the design of a conventional power system stabilizer (CPSS) is carried out using the bat algorithm (BA) to optimize its gain and pole-zero parameters. The proposed optimization of CPSS parameters is considered with an objective function based on eigenvalue shifting to guaranteeing the stability of nonlinear plant for a wide range of operating conditions of the single-machine infinite-bus power system model. The system performance with BA optimized CPSS (BA-CPSS) controller is compared with a particle swarm optimization based CPSS (PSO-CPSS) controller. The robustness is tested by considering several operating conditions (133 in numbers) to establish the superior performance with BACPSS over the PSO-CPSS.