Nonlinear optimal STATCOM controller based on game theory to improve transient stability

In this paper a nonlinear controller has been designed for Static Synchronous Compensator (STATCOM) in order to improve transient stability of a power system. The nonlinear model of the power system is exactly linearized via state feedback linearization technique. The optimal gain constants of the nonlinear controller are determined applying a special class of non-cooperative dynamic game theory. The performance of this proposed nonlinear STATCOM controller is compared with a fixed structure lead-lag based conventional STATCOM controller. The set of tuning parameters of the conventional controller are optimized through heuristic optimization technique, Genetic Algorithm (GA). The performance of both nonlinear and the conventional controllers are validated with application of a typical transient disturbance to a SMIB test power system. It has been revealed that the proposed nonlinear controller is more effective in the face of contingency in comparison to the GA based controller.