Conventional load-frequency control (LFC) systems use classical or trial-and-error approaches to tuned the PI controller parameters. These approaches are incapable of obtaining good dynamical performance for a wide range of operating conditions and various load changes scenarios in a multi-area power system. Also recently, several modern control theory designs like H_(∞ )have been applied to the LFC problem optimization technique. However, the importance and difficulties in the selection of weighting functions of these approaches and the pole-zero cancellation phenomenon associated with it produces closed loop poles. In addition, the order of the H_(∞ )-based controllers is as high as that of the plant. This gives rise to complex structure of such controllers and reduces their applicability. In this paper the decentralized LFC synthesis is formulated as a multiobjective optimization problem (MOP) and is solved using genetic algorithms to design well-tuned PI controllers in multi-area power systems. The proposed control scheme is tested in simulation on a three areas power system and shows desirable performance
