Robust AGC based on Fuzzy Logic Controller: Design, Comparison and Ratification

Increasing the oscillations in the affected eclectic power system caused by the growth of loading conditions and occurrence of various distributions leads to losing the synchronism in the first-swing. A maiden effort is led to attain a novel Fuzzy Logic Automatic Generation Controller (FLAGC) to provide appropriate damping low frequency power oscillations. In order to guarantee the effectiveness and robustness of the proposed FLAGC controller, it has been thoroughly compared with Proportional Integral Derivative (PID) controller considering 2% step load perturbation in thermal area of the studied power system. The Real Coded Genetic Algorithm (RCGA) optimization technique due to have high sufficiency to solve the very non-linear objective is implemented for solution of the optimization problem. The obtained results of non-linear time-domain simulation reveal the high dynamical performance of proposed FLAGC controller.