Coordinated Design of PSS and SSSC Damping Controller using PSO & GA -based Optimization Algorithm

Yaminee Verma, Kumar Prabhakar
Abstract: In this paper, a coordinated design of PSS and SSSC controller to improve the damping of low frequency oscillations is shown. The design problem has been considered an optimization problem based on Genetic Algorithm & Particle Swarm Optimization (PSO) is used for searching the optimal controller parameters. The proposed controller is employed for a Kundur two area four machines systems. The results are displayed under small disturbance, to present the efficiency of the proposed method. The proposed controller provides sufficient damping for power system oscillations, under small disturbances. Results analysis shows that the use of PSO-based optimization algorithm has a higher efficiency in damping oscillations of the power system, compared with the GA, and increases the dynamic stability more.
Keywords: Power system stabilizer, SSSC, Low frequency oscillations, Genetic Algorithm (GA), Particle Swarm Optimization (PSO)., M.Tech / M.E / PhD Thesis, Electrical Engineering, India
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