Prof. Mohamed Moenes Mohamed Salama :: Publications:

Traditional methods for controlling wind turbines often rely on accurate modelling techniques to ensure reliable and productive interaction between the wind farms and the primary electricity grids in both grid-connected and autonomous modes. Additionally, because of the unpredictable and irregular wind speed, its natural output power behaves significantly erratically. Furthermore, to avoid the negative effects of excessive fluctuation in wind turbine output power in the wind farm besides the power grid, it is essential to properly estimate, plan, and manage the wind farm output power. In addition, the transmission of the control signal can leave a gap between itself and the wind energy conversion systems (WECS) due to the communication channels' time delay, which makes the WECS operation unstable. Specifically, when running over the permitted wind speed, wind energy conversion devices frequently pitch, which reduces the mechanical power to the rated level at the price of the blade, and drives shaft loads. In this regard, this paper suggests an intelligent control system for the synchronous generator wind turbines using the model predictive controller (MPC). The results highlighted the suggested controller's greater performance against changes in wind speed rather than PI controller. Further, the coordination of pitch/torque sharing depend on the analysis performed, both generator power output quality, in addition load circumstances are maximized in a variable-weight MPC technique.