International Journal of System Signal Control and Engineering Application
ISSN: OnlineISSN: Print 1997-5422
Abstract
The genetic local search technique hybridizes the genetic algorithm and the local search (such as hill climbing) in order to eliminate the disadvantages in genetic algorithm. The parameters of the power system stabilizer (gain, phase lead time constant) are tuned by considering the single machine connected to infinite bus system. Here, power system stabilizer 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 Power System Stabilizer (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.
How to cite this article:
Mohamed Zellagui . Robust Power System Stabilizer Design Using Genetic Local Search Technique for Single Machine Connected to an Infinite Bus.
DOI: https://doi.org/10.36478/ijssceapp.2008.188.194
URL: https://www.makhillpublications.co/view-article/1997-5422/ijssceapp.2008.188.194