M.Tech / M.E / PhD Thesis | Electrical Engineering | India | Volume 7 Issue 1, January 2018
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
Edition: Volume 7 Issue 1, January 2018,
Pages: 460 - 464
How to Cite this Article?
Yaminee Verma, Kumar Prabhakar, "Coordinated Design of PSS and SSSC Damping Controller using PSO & GA -based Optimization Algorithm", International Journal of Science and Research (IJSR), Volume 7 Issue 1, January 2018, pp. 460-464, https://www.ijsr.net/get_abstract.php?paper_id=ART20179399
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