Load frequency control using genetic-algorithm based fuzzy gain scheduling of PI controllers

This paper describes the application of fuzzy gain scheduling on the proportional-integral (PI) load frequency control for a multi-area interconnected power system. To improve the performance of the power system, an appropriate optimization method namely a refined genetic algorithm (RGA), has been used to tune the membership functions and rule sets for the fuzzy control. The control methodology adopts a formulation for the area control error which always guarantees zero steady-state values for both the time error and inadvertent energy. The proposed control has been designed for a two-area interconnected power system with control deadbands and rate constraints. Simulation results confirm the designed control performance of the proposed control.