Sliding Mode Control and Genetic Algorithm Optimized Removal of Wind Power and Torque Nonlinearities in Mathematical Modeled Type-III Wind Turbine System

• Published in: 2021 9th International Conference on Cyber and IT Service Management (CITSM) pp. 1 - 7
• Main Authors: Ganthia, Bibhu Prasad, Barik, Subrat Kumar, Nayak, Byamakesh
• Format: Conference Proceeding
• Language: English
• Published: IEEE 22.09.2021
• Subjects: genetic algorithm; MPPT; pitch angle control; power smoothing; Power system stability; sliding mode control; Software packages; Stability analysis; Torque; type III wind turbine; Wind energy; Wind speed; Wind turbines
• DOI: 10.1109/CITSM52892.2021.9587933

The wind energy generation affected by the rapid change in wind speed. To control the wind speed and maintain the stability in the system sliding mode controller is introduced in this paper. Nonlinearities developed due to variable wind speed can be controlled by genetic algorithm optimized sliding mode control technique. Tip speed ratio technique is used to extract maximum power from the wind energy. To improve this TSR technique PI-GA tuned sliding mode controller technique used to get maximum power and reducing the active power losses. Nonlinearities in the pitch angle due to variable wind speed can be solved using this proposed technique. Hence in this paper the robustness of the modified Type-III wind turbine system is studied using MATLAB Simulink. The Simulink results are compared with the existing technique of DFIG based Type-III wind turbines.