Design and implementation of power system stabilizers based on evolutionary algorithms

This paper discusses the design and implementation of power system stabilizers based on newly introduced evolutionary algorithms, namely the population- based incremental learning (PBIL) and the breeder genetic algorithm (BGA) with adaptive mutation. The designed PSSs were implemented on a power system experimental setup and the experimental results are presented in this paper. A conventional power system stabilizer (CPSS) was also designed and implemented for comparison purposes. In total three PSSs were designed and implemented, and their performance compared. It was found that CPSS gives the worst performance and BGA-PSS performs better than the PBIL-PSS for the specific case described in this paper, with the electrical power used as the input to the PSS.