Wind Turbine Energy Production Based on Event-Triggered Speed Control

An improved strategy for energy production is introduced based model predictive control, with a precise control instance using event triggered mechanism. Aiming to optimize the wind turbine speed for energy production while accounting for uncertainties and sensor malfunctions. The proposed strategy leverages model predictive control, a powerful control technique known for its ability to optimize system performance by considering future predictions of power generation. In this context, MPC is utilized to formulate an optimal control sequence for wind turbine operation, accounting for various factors such as wind speed fluctuations, turbine dynamics, and power output constraints. Unlike traditional time-triggered control schemes, our approach employs event-triggered sampling, which means that control updates are triggered only when specific events or significant changes occur in the system, thereby optimal control demands and improving efficiency.