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Summary Accurate wind‐speed measure along with an effective control technology is an important aspect to attain optimal wind power. This paper proposes a sensorless maximum power point tracking (MPPT) algorithm that estimates the effective wind speed without an anemometer to reduce wind‐turbine installation cost and improve the overall efficiency. This algorithm depends on the aerodynamic torque power coefficient approximation to the third‐order polynomial. This paper investigates different control schemes of a 1.5‐MW grid‐tied five‐phase permanent magnet synchronous generator (PMSG) based, a variable‐speed wind‐energy conversion system (VS‐WECS). To eradicate the limitations of the proportional‐integral (PI) controller as a speed controller, model predictive controller (MPC) is implemented as a replacement of PI controller. The MPC is employed to track the rotor speed to the optimal speed. Both the PI and the MPC are designed and deliberated to satisfy the obedient performance of the speed control loop. Moreover, a comparative study of speed control schemes is performed between the conventional PI controller and the MPC. Performance of the proposed control schemes is validated using the MATLAB/SIMULINK. Simulation results show the superiority of MPC compared with the conventional PI controller and the validity of the MPC as a vital solution for drawbacks of the PI controller.

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Summary In this study, an efficient robust adaptive perturb and observe (RA‐PO) maximum power point tracking (MPPT) algorithm–based wind energy conversion system (WECS) is suggested to avoid drawbacks of conventional P&O (CPO) algorithms. It depends on observing the distance between the actual and optimal rotor speed, calculating the required adaptive ratio at each operating point, perturbing the rotor speed with an appropriate step‐size, and observing power variations until the P‐ω curve slope equals zero. Therefore, it exhibits a rapid speed tracking with low oscillations. Moreover, it offers a well‐defined relationship among the extracted mechanical power, the rotor speed, the perturbing step‐size, and the operating wind speed so wrong direction and loss of tracking problems can be avoided on high‐inertia wind turbine (WT) during rapid wind speed fluctuations. It improves the WECS efficiency from 87% to 91%. The performance of WECS is confirmed via MATLAB/SIMULINK.

In this study, the maximum power point tracking (MPPT) performance is investigated based on variable-speed wind energy conversion system below the rated wind speed. The proposed modified perturb and observe (MPO) MPPT enhances the initial speed-tracking accuracy and eliminates the oscillations level. The MPO employs four sectors operation using a variable-speed step sizes by comparing the new suggesting curve with the P-ω curve. The system is described as a large-scale five-phase permanent magnet synchronous generator (PMSG) which is grid connected through a backto-back converter (BTBC) and Dc-link capacitor. The field-oriented control (FOC) is applied in the machine-side converter (MSC) to extract the optimal generated power using the proposed MPPT algorithm. Moreover, the voltage-oriented control (VOC) is applied in the grid-side converter (GSC) to regulate the Dc-link voltage and inject active power with unity power factor. The simulation results depict the superior performance of the MPO over the conventional P&O. The performance of the proposed control scheme is validated using MATLAB/SIMULINK program.