Development of Intelligent Control Strategy on Multilevel Inverter for PMSG Based Wind Energy Conversion System

The limitations of fossil fuel-based energy sources, such as rising prices, environmental harm, scarcity, and pollution, underscore the urgency of transitioning to renewable energy. Harnessing wind energy efficiently requires implementing various control strategies due to its unpredictable nature. This paper introduces a 3L multilevel converter integrated with a Permanent Magnet Synchronous Generator (PMSG)-based wind energy conversion system (WECS). It delves into the design considerations of WECS components, encompassing the fundamental models of two drivetrains and wind turbines. The adaptive fuzzy logic control, coupled with a PI type maximum power point tracking (MPPT) algorithm, optimizes wind energy extraction. Additionally, the utilization of 3-L multilevel converters enhances the system's efficiency. The primary objective is to maximize energy extraction from the wind, ensuring the system's high efficiency. To achieve maximum power point tracking across diverse conditions, the developed control algorithm undergoes rigorous testing using simulation software. By integrating diode rectifiers, 3-L boost converters, and 3-L multilevel inverters, the system maintains balanced and regulated output voltage, current, and power amidst varying input/output conditions and disturbances. Compared to conventional methods, the Intelligent Control Strategy proves superior, exhibiting enhanced stability, precision, and performance with robust dynamic response under fluctuating wind speeds.