Using Jaya algorithm to optimal tuning of LQR based power system stabilizers

In this study a powerful optimization algorithm is used for optimal tuning of linear quadratic regulator (LQR) based PSS in order to stabilize a synchronous machine which is connected to an infinite bus. Jaya algorithm is a newly proposed AI optimization algorithm inspired from TLBO. The robustness of optimized controller by the Jaya algorithm has been compared regarding to commonly used types of PSS, i.e. lead-lag and PID. By analyzing the results based on the solutions given by Jaya algorithm, the excellency of this algorithm in solving such problems is obvious. ITAE criterion is applied as objective function in this investigation.