Inertia-adaptive model predictive controlbased load frequency control for interconnected power systems with wind power

Abstract

The low and variable inertia due to the integration of large-scale wind generation poses severe challenges to thefrequency control of the power grid. In this study, a novel model predictive control (MPC)-based load frequency controller (LFC),which can adapt to the changes in system inertia, is proposed to improve the frequency control effect. First, the inertiaestimation scheme based on measurements is designed. Then, the state-space model, which is the key that determines thecontrol effect of MPC, is corrected in time based on the estimated inertia. The proposed method in this study can avoid theproblem of MPC-based LFC failure caused by inaccurate model parameters. The performance of the proposed strategy isdemonstrated in two scenarios, i.e. wind power fluctuation and load multi-step, using a two-area interconnected power systemwith time-variant inertia.