Robust Variable Structure / Genetic Algorithms Controller for Improving Power Systems Dynamic Stability

In this paper, a combined variable structure / genetic algorithms controller is presented to improve the dynamic stability of a power system. The design of variable structure controller is formulated as an optimization problem and genetic algorithms are used in the optimization process. Contrary to the design methods reported in the literature, which depend partially on trial and error approach for the selection of controller parameters, the proposed method provides an optimal and systematic design procedure. The proposed design method has been applied to the design of a power system controller of a single machine power system model. The system performance against step load and parameter variations has been simulated and compared to previous designs. Simulation results show improvements in the dynamic system performance and control effort.