Power system load frequency control by evolutionary fuzzy PI controller

Power system load frequency control by fuzzy PI controller is proposed in this paper. During control, a fuzzy system is used to adaptively decide the PI controller gain according the area control error and its change. To ease the design effort and improve the performance of the controller, the fuzzy system is deigned by the hybrid of genetic algorithm and particle swarm optimization (HGAPSO). Simulations on a two-area interconnected power system with different kinds of perturbation are performed. The performance of the proposed approach is verified from simulations and comparisons.