A new hybrid approach based on fuzzy logic and optimization for load frequency control

This paper presents a fuzzy logic and optimization-based controller design for load frequency control of a single area system with a non-reheated turbine. The controller's unknown parameters are determined using Big Bang-Big Crunch (BB-BC) optimization algorithm by minimizing the integral square error. In addition, extensive simulation experiments on an existing single-area power system were conducted to test the efficacy of the proposed design technique. The findings show that the proposed controller outperforms the recently developed controllers regarding transient response and error parameters. The suggested controller's capability is also demonstrated by improved external disturbance rejections despite plant parameter variations. The reduced model of a single area load frequency control system is also obtained in this paper. It found that the dynamic response of the obtained reduced system is close to the original single area LFC system.