This chapter focuses on power generation control within variable-speed wind turbines, specifically addressing the distinct operational regions determined by the turbine’s tip speed ratio. The research aims to maximize power extraction during low wind speed conditions through the implementation of an innovative model-free control strategy. By leveraging an ultra-local model combined with an intelligent proportional integrated derivative controller, this approach delivers significant advantages, including robust resilience against unmodeled dynamics and simplified parameter tuning processes. The study employs an algebraic estimator for ultra-local dynamics to overcome challenges associated with limited accessibility to precise wind turbine models, facilitating straightforward implementation of the control law. The effectiveness of the proposed approach in achieving accurate power tracking is demonstrated under variable-speed wind energy conditions. Performance analysis reveals significant optimization potential through parameter tuning. When configured with a sliding window of L = 0.05 s, the system achieves optimal results, generating 26.95 MWh (representing 99.81% of reference energy) with peak efficiency of 99.81% and minimal tracking error of 100.30 kW. Comprehensive evaluation identifies L = 0.05 s as the optimal parameter configuration, effectively balancing energy production capabilities with tracking precision requirements. This optimization represents a significant advancement in wind turbine control technology, enabling more efficient renewable energy harvesting across variable operating conditions.