Power control of a DFIG based wind turbine using bio-inspired algorithm optimised fuzzy logic controller

The growing importance of renewable energy, specifically wind power, in meeting clean energy demands needs effective power control for wind turbines. This paper represents a new methodology to power control for DFIG-based wind turbines. It exploits a bio-inspired algorithm optimised fuzzy logic controller, such as particle swarm optimisation (PSO), to enhance FLC performance. The optimisation process focuses on enhancing reference tracking accuracy and achieving optimal power control.