This paper introduces a real-time deloading technique for wind turbines (WT) that relies on advanced control strategies, eliminating the need for predefined characteristics, mathematical modeling, or additional hardware. The technique operates in a dual-mode cycle: maximum power measurement mode and power reserve mode, each governed by specific controllers—a pitch angle controller and a perturb and observe algorithm. A flexible monitoring signal triggers the cycle, enabling diverse configuration options. To enhance dynamic precision under changing climate conditions, a proportional–integral fuzzy logic controller (PI-FLC) is incorporated, while an H-infinity ( \(H_{\infty }\) ) controller reinforces grid-side stability by addressing grid impedance variations. Simulation results, performed in MATLAB Simulink, compare the conventional configuration with the enhanced approach. The proposed PI-FLC controller improves the accuracy of the desired power reserve, reducing uncertainty by approximately 83%. Moreover, the \(H_{\infty }\) controller effectively mitigates the impact of grid parameter fluctuations, specifically a 20% variation from nominal values, on power instability. It decreases power fluctuations due to resistance and inductance changes by roughly 53% and 42%, respectively, compared to a standard PI controller. It also reduces the impact of resistance and inductance variations on DC link voltage fluctuations by approximately 33% and 34%, respectively. Furthermore, the \(H_{\infty }\) controller ensures grid stability under impedance parameter variations of up to 50% of nominal values, thus demonstrating the technique’s robustness and its potential for optimizing wind turbine integration into grid systems.
