Inertia‐adaptive model predictive control‐based load frequency control for interconnected power systems with wind power
Deyou Yang, Bo Wang, Guowei Cai, Jin Ma, Jie Tian, Zhe Chen, Lixin Wang
Abstract
The low and variable inertia due to the integration of large‐scale wind generation poses severe challenges to the frequency 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 inertia estimation scheme based on measurements is designed. Then, the state‐space model, which is the key that determines the control effect of MPC, is corrected in time based on the estimated inertia. The proposed method in this study can avoid the problem of MPC‐based LFC failure caused by inaccurate model parameters. The performance of the proposed strategy is demonstrated in two scenarios, i.e. wind power fluctuation and load multi‐step, using a two‐area interconnected power system with time‐variant inertia.