Model predictive control stabilization of a power system including a wind power plant

The conventional generators are equipped with power system stabilizers (PSS) to damp oscillations that follow disturbances. inclusion of renewable energy sources within the existing systems requires further investigations enhance performance PSS. Several control strategies have been being used design In this paper, model predictive (MPC) is investigated be as a It uses numerical optimization algorithms get an optimal output considering system’s constraints. Therefore, designed and applied multi-machine wind plant (WPP). Three disturbances test controllers including three-phase fault, transmission line outage, voltage reference sudden change. MATLAB/SIMULINK in simulation. Then, results compared multi-band controller (MB) linear quadratic regulator (LQR). MPC shows efficient handling constraints damping types existence WPP case partial power-sharing.