Wind renewable systems have become an essential option as the world runs out of natural resources, becomes hotter, and power costs go up. They provide clean, sustainable energy to meet the increasing need for electricity. This study aims to enhance the performance of wind turbine (WT) systems by achieving Maximum Power Point Tracking (MPPT) in low-speed zones while simultaneously protecting the infrastructure from damage. To achieve this, a power management system with two control strategies, fuzzy logic, and sliding mode control is developed and implemented. The effectiveness of these control methods is examined and contrasted in two distinct scenarios: constant and random loads. The results show that sliding mode control is better than the other options when it comes to how quickly it can respond to changes. This indicates that it might make wind renewable systems more efficient, enhance electricity quality, and make the grid more stable. This research contributes to the development of more efficient and reliable wind energy systems, facilitating the transition to a low-carbon economy.
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