Enhancement of Power System Stability and Performance Comparison of SSSC based Damping Controller Using Modified Genetic Algorithm

This paper proposes a new genetic based approach for optimal selection to damp power system oscillations by a Static Synchronous Series Compensator (SSSC) based controller. The design problem of the proposed controller is formulated as an optimization problem and modified Genetic Algorithm (MGA) is employed to search for the optimal controller parameters. The performances of the proposed controller are evaluated under different disturbances for single-machine infinite-bus power system. The system response being simulated during different faults applied to the terminals. This work is presented to improve the stability and to damp the oscillation by using SSSC with and without controller and compare their performance. Simulation results show that SSSC with controllers enhance the stability of single-machine power system effectively. Simulation results are presented and compared with the existing methods as discussed in the recent literature to show the effectiveness and robustness of the proposed approach.