Ehsan Akbari - Department of Electrical Engineering, Mazandaran University of Science and Technology, Babol, Iran.

The genetic local search technique (GLS) hybridizes the genetic algorithm (GA) and the local search (such as hill climbing) in order to eliminate the disadvantages in GA. The parameters of the PSS (gain, phase lead time constant) are tuned by considering the single machine connected to infinite bus system (SMIB). Here PSS are used for damping low frequency local mode of oscillations. Eigen value analysis shows that the proposed GLSPSS based PSS have better performance compared with conventional and the Genetic algorithm based PSS (GAPSS). Integral of time multiplied absolute value of error (ITAE) is taken as the performance index of the selected system. Genetic and Evolutionary algorithm (GEA) toolbox is used along with MATLAB/SIMULINK for simulation.

Genetic local search, power system oscillations, power system stabilizer, genetic algorithms, SMIB, K-constants