Dynamic Power Optimization and Tracking Control for Permanent Magnet Synchronous Generator-Based Wind Energy Harvesting

The invention and implementation of Maximum Power Point Tracking control algorithms for a Permanent Magnet Synchronous Generator-based Wind Energy Conversion System are the main objectives of this work. By precisely tracking the greatest power point under a range of wind conditions, the goal is to increase the effectiveness and energy capture of the PMSG-driven wind turbine. Modeling, simulation, and experimental validation will be used to investigate and improve various MPPT algorithms and control tactics. This work improves the development of renewable energy systems, specifically in the context of wind power generation, with possible applications in the generation of clean and sustainable power.