A Novel approach for tuning of Power System Stabilizer (SMIB system) using Genetic Local Search Technique |
Author(s): |
| Pankaj Valand , Dr. Jivraj Mehta Institute of Technology, Mogar; Mayurdhvajsinh Gohil, Dr. Jivraj Mehta Institute of Technology, Mogar; Ankit Rabari, Dr. Jivraj Mehta Institute of Technology, Mogar; Jinal Prajapati, Dr. Jivraj Mehta Institute of Technology, Mogar |
Keywords: |
| Genetic local search, Power system oscillations, Power system stabilizer, Genetic algorithms, SMIB, Kconstants. |
Abstract |
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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. |
Other Details |
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Paper ID: IJSRDV1I11007 Published in: Volume : 1, Issue : 11 Publication Date: 01/02/2014 Page(s): 2348-2352 |
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