Improved performance of LQR controller in CSC based STATCOM using genetic optimization

The static synchronous compensator (STATCOM) is the multiple input and multiple output system with versatile FACTS device for the enhancement of its dynamic performance in power systems. A novel method based on genetic algorithm is proposed to find the positive definite matrices (Q, R) for LQR based CSC-STATCOM. In this paper, the CSC based STATCOM is controlled by the LQR. But the best constant values for LQR controller's parameters are laboriously obtained through trial and error method, although time consuming. So the objective function of the genetic optimization problem is designed such that to find the optimal values of the LQR controller's parameters in a very short time with the desired criterion for the test system. Applicability of the proposed scheme is demonstrated through simulation in MATLAB and the simulation results show an improvement in the outcomes of CSC-STATCOM.