• Kapil Parikh
• Raunak Jangid
• Sagar Trivedi
• Saurabh Singh Gaur

Today power system stability is the major issue. FACTS devices play a very important role of stability consideration. In this paper we develop the model of multi-machine power system with FACTs controller is developed in MATLAB/SIMULINK. We use Static Synchronous Series Compensator (SSSC) due to high speed changes its reactance characteristic inductive to capacitive, is effective power flow controller. Tuning process of controller parameter can be performed using a different method. The optimal parameters for the proposed controller are obtained using particle swarm optimization (PSO) and genetic algorithm (GA). We compare two situations as an inter-area mode of oscillation and line power flow in the multi-machine system with 5 cycles self-clearing disturbance like 3-phase, L-L, L-L-G, L-G fault at PSO and GA technique. The simulation results obtainable through various graphs validated that PSO optimized SSSC damping controller is better than GA optimized SSSC controller. So PSO optimized SSSC damping controller reduces frequency oscillation accurately and therefore enhances the system stability.

"POWER SYSTEM STABLITY IMPROVEMENT OF MULTIMACHINE SYSTEM USING PSO TUNED SSSC CONTROLLER ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 9, page no.313-325, September-2018, Available :http://www.jetir.org/papers/JETIRB006060.pdf

"POWER SYSTEM STABLITY IMPROVEMENT OF MULTIMACHINE SYSTEM USING PSO TUNED SSSC CONTROLLER ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 9, page no. pp313-325, September-2018, Available at : http://www.jetir.org/papers/JETIRB006060.pdf