1. Local Search-based Non-dominated Sorting Genetic Algorithm for Optimal Design of Multimachine Power System Stabilizers.
- Author
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Alshammari, Fahad A., Alshammari, Gharbi A., Guesmi, Tawfik, Alzamil, Ahmed A., Alshammari, Badr M., and Alshammari, Ahmed S.
- Subjects
GENETIC algorithms ,METAHEURISTIC algorithms ,TIME-domain analysis ,NONLINEAR analysis ,EIGENVALUES - Abstract
This study presents a metaheuristic method for the optimum design of multimachine Power System Stabilizers (PSSs). In the proposed method, referred to as Local Searchbased Non-dominated Sorting Genetic Algorithm (LSNSGA), a local search mechanism is incorporated at the end of the second version of the non-dominated sorting genetic algorithm in order to improve its convergence rate and avoid the convergence to local optima. The parameters of PSSs are tuned using LSNSGA over a wide range of operating conditions, in order to provide the best damping of critical electromechanical oscillations. Eigenvalue-based objective functions are employed in the PSS design process. Simulation results based on eigenvalue analysis and nonlinear time-domain simulation proved that the proposed controller provided competitive results compared to other metaheuristic techniques. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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