Optimal Tuning of Power System Stabilizers Using Modified Particle Swarm Optimization
نویسندگان
چکیده
This study proposed a novel algorithm to tune and coordinate power system stabilizers (PSSs) in multi-machine power systems. For a multi-machine power system, the coordination of the PSS parameters is generally formulated as an objective function with constraints including the damping ratio and damping factor. A novel hybrid particle swarm optimization (PSO) with the passive congregation algorithm, called PSOPC, is applied in this work to design a robust power system stabilizer. The PSOPC is modified from PSO by adding the passive congregation model. This could enhance the diversity of the swarm and lead to a better outcome. The two area multi-machine power system, under a wide range of system configurations and operation conditions, are studied to illustrate the performance of the proposed algorithm with the multi-objective function. Nonlinear simulation and eigenvalue analysis results confirm the efficiency of the proposed technique. The results illustrate that the PSOPC has an advanced in terms of accuracy and convergences. Index Terms -Multi-objective optimization, Design PSS, Dynamic Stability, Particle Swarm Optimization.
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