Enhancing Wind Turbine Efficiency: A Comparative Study of Two Innovative MPPT Control Algorithms
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Abstract
This paper presents two novel maximum power point tracking (MPPT) control strategies utilizing the gradient optimization algorithm to maximize the wind turbine's output power while minimizing the chattering effect resulting from intermittent control switching. In the first method, the gradient algorithm is integrated with sliding mode control (GSMC), and in the second technique, it is combined with adaptive fuzzy sliding mode control (GAFSMC). To assess the robustness and tracking capabilities of these techniques, numerical simulations were conducted under varying wind speed profiles. The results obtained demonstrate superior performance of the two newly developed methods when compared to classical SMC and fuzzy logic approaches.
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