Published Paper Details:

A method for designing an SSSC-based stabilizer to damp inter-area oscillations is proposed in this paper. To reach this goal, a novel objective function was employed. The displacement of critical modes and the gain (control cost) of the stabilizer are taken into account in the given objective function. In order to have an SSSC-based stabilizer with minimum phase structure, appropriate constraints are calculated and appended to the objective function. For the robust design of an SSSC-based stabilizer, different operating conditions are simultaneously considered. A hybrid optimization algorithm (hGWO-GA) is proposed by combining the grey wolf optimizer (GWO) algorithm and the genetic algorithm (GA). The proposed method was tested on two standard test systems of 4 and 50 machines. The eigenvalues analysis and nonlinear simulations prove that the introduced approach can efficiently enhance the damping of inter-area oscillations. The obtained results show the superiority of the SSSC phase-based stabilizer compared to the magnitude-based stabilizer in damping inter-area oscillations. The results also show that the performance of the proposed hGWO-GA optimization algorithm is superior to the GWO, GA, ACO, and PSO algorithms. Considering the uncertainties in the design process is the future scope of this work.