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A Novel Control Algorithm for Small-Scale Wind Generation System using Aerodynamic Torque Estimator

A novel speed control algorithm for small-scale wind generation system using an aerodynamic torque estimator is presented in this paper to enhance the performance of the system under rapid wind speed changes. The regulation of the wind turbine in tracking the optimal reference is the most important aspect in achieving the maximum power extraction of the small-scale wind generation system when operating under various wind conditions. However, due to the uncertainty nature of the wind, the rotation speed of the wind turbine may fluctuate and deviate from its optimal speed when there exist sudden wind changes resulting in degradation in the performance of the system. Hence, a proper speed control is essential to track the optimal reference, to achieve the maximum power point tracking (MPPT) operation and to minimize the fluctuation in the rotation speed under wind speed changes. The proposed speed control algorithm estimates the aerodynamic torque generated from the wind turbine and integrates with a speed PI controller to achieve better speed transient performance during wind speed changes. Detailed mathematical analysis, transfer function analysis, stability analysis and simulation results are also presented in this paper to verify the effectiveness of the proposed control algorithm.