• AAISHA TASNEEM
• REETA PAWAR
• ANURAG S D RAI

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.

Power system stabilizer(PSS), Static Synchronous Series Compensator(SSSC), Low frequency oscillations, Genetic Algorithm (GA), Particle Swarm Optimization (PSO).

"ASSESSMENT OF POWER SYSTEM STABILITY UNDER SMALL DISTURBANCE WITH SSSC FOR MULTI-MACHINE POWER SYSTEM BASED ON GA AND PSO", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.311-315, June 2019, Available :http://www.jetir.org/papers/JETIR1907Q93.pdf

"ASSESSMENT OF POWER SYSTEM STABILITY UNDER SMALL DISTURBANCE WITH SSSC FOR MULTI-MACHINE POWER SYSTEM BASED ON GA AND PSO", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp311-315, June 2019, Available at : http://www.jetir.org/papers/JETIR1907Q93.pdf