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

Authors : Islam Ahmed ALİ, Abdel Latif ELSHAFEİ

Pages : 188-208

Doi:10.30521/jes.997307

View : 9 | Download : 11

Publication Date : 2022-06-30

Article Type : Research Paper

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