Jaya Algorithm Based Optimal Design of LQR Controller for Load Frequency Control of Single Area Power System

Abstract

In this paper, Jaya algorithm has been proposed for optimizing the parameters of the linear quadratic regulator (LQR) for load frequency control (LFC). In feedback control system, LQR is an advanced and modern control technique. The LQR technique is based on minimizing the quadratic performance index. In the LQR controller, the main problem is to shape the weighting matrices Q and R. The problem to shape the weighting matrices Q and R in LQR controller can be solved using various evolutionary computing techniques. In this paper, the weighting matrices for load frequency control of the electrical power network are designed by using genetic algorithm and Jaya algorithm. It is shown that Jaya algorithm is the most powerful method, as it provides improved system performances by optimal design of the matrices Q and R to minimize settling time.