Adaptive MPC-Based Cooperative Frequency Control for Community Microgrid

Renewable energy sources, such as wind turbine (WT) generators and photovoltaic (PV) systems with high uncertainties, are installed in the microgrid (MG) system, which affects its frequency stability. This paper proposes an adaptive model predictive control (AMPC)-based frequency controller to address the frequency stability of the MG. In this paper, an unscented Kalman filter (UKF) is applied to AMPC to update the prediction model’s parameters in real-time to realize high estimation accuracy. A modified islanded IEEE CIGRE benchmark MG system model is used to verify the effectiveness of the proposed method. The simulation results show that the proposed method can efficiently decrease the MG frequency problems with a better performance compared with the proportional-integral (PI) controller.