Genetic algorithm type 2 fuzzy logic controller of microgrid system with a fractional-order technique.

ABSTRACT: This paper presents a hybrid approach that combines a genetic algorithm (GA)-optimized type-2 fuzzy logic controller (T2FLC) with a fractional-order technique for enhanced control of a microgrid system. The T2FLC approach is employed to handle the inherent uncertainties in the microgrid due to fluctuating renewable energy inputs and varying loads. The GA optimizes the parameters of the designed FO-T2FLC approach, ensuring optimal performance under different operational conditions. This developed strategy is a modification and development of the traditional approach, as it is characterized by rapid dynamic response, high durability, distinctive performance, ease of application, and inexpensive. Also, this designed strategy does not depend on the mathematical model of the studied system, whi

SUBMITTER: Maroua B 

PROVIDER: S-EPMC11845737 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature