Small Magnus Wind Turbine Control System Based on MPPT Approaches

This paper presents a study on the development of a modified maximum power tracking algorithm for small Magnus wind turbines. The research initially focuses on implementing and comparing three different algorithms: Fixed Step Hill Climb algorithms, Adaptive algorithm, and Half-Step Algorithms. The key innovation of the proposed algorithm lies in its ability to evaluate not only the magnitude and direction of step changes but also to compare these changes with previous values. Additionally, a function is introduced to assess the percentage change in the step relative to the power output. This operation allows the algorithm to determine whether the relative change in power exceeds the threshold value. If the threshold is surpassed, the system resets the step and begins searching for the maximum power point using the initial (maximum) step value. This algorithm effectively addresses two challenges: when wind speed changes are minor, resulting in small power fluctuations, the algorithm avoids unnecessary step resets, and when wind speed changes significantly, causing substantial power variations, the algorithm initiates a new search for the maximum power point with the maximum step size. The proposed algorithm holds potential for implementation in a variety of renewable energy systems that employ maximum power tracking algorithms, including solar panels and wind turbines.