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.