A Modified Model Predictive Speed Control Based on Sensorless Hybrid MPPT Algorithm in Wind Turbine Systems

The contribution of wind energy to electricity generation is increasing worldwide. The primary challenge that wind power systems encounter is finding the most efficient way to extract maximum energy under varying wind speeds. Measuring wind speed using wind speed sensors (anemometers) can be a hard task due to the high cost of maintenance and installation. In addition, the reliability of the entire wind system is reduced. This article presents a modified version of the model predictive speed control (MPSC) strategy for permanent magnet synchronous generator (PMSG) in variable-speed wind turbine (VSWT) systems. The presented control approach in the study is created utilizing a sensorless hybrid maximum power point tracking (HMPPT) algorithm. The algorithm is based on a wind speed estimation (WSE) method, which decreases the WT maintenance and installation costs. The HMPPT method that has been suggested involves the use of a third-order polynomial to calculate the power coefficient. This polynomial is used to estimate the wind speed based on the measured rotor speed and mechanical torque. In addition, the grid-side converter (GSC) utilizes a model predictive current control (MPCC) technique to attain control over real and reactive power. The effectiveness of the suggested control schemes is validated by employing simulations on MATLAB/SIMULINK at different wind speed profiles and analyzing the results. The simulation results demonstrate the ability of the WSE method to track the actual wind speed with an acceptable percentage error of around 1.1%.