Power system load frequency control with fuzzy gain scheduling designed by new genetic algorithms

A genetic algorithm (GA) based fuzzy gain scheduling approach for power system load frequency control is proposed in this paper. In this approach, a fuzzy system is used to adaptively decide the integral controller gain according to the area control errors (ACE) and their changes. To reduce the fuzzy system design effort and the number of fuzzy rules, the fuzzy system is designed automatically by GA. To improve the design performance, a new GA using elitist strategy combined with similarity measure is proposed. Simulations on a two-area interconnected power system with different kinds of perturbation are performed. The superiority of the proposed method over existing ones is verified from simulations and comparisons