Cooperative Control of Hydrogen-energy Storage Microgrid System Based on Disturbance-rejection Model Predictive Control

Model predictive control (MPC) requires high accuracy of the model. However, the actual power system has complex dynamic characteristics. There must be unmodeled dynamics in the system modeling process, which makes it difficult for MPC to perform the function of optimal control. ESO has the ability to observe and suppress errors, combining the both can solve this problem. Thus, this paper proposes a coordinated control strategy of hydrogen-energy storage system based on disturbance-rejection model predictive controller. Firstly, this paper constructs the state-space model of the system and improves MPC. By connecting ESO and MPC in series, this paper designs a matched disturbance-rejection model predictive controller and analyzes the robustness of the research system. Finally, this paper verifies the effectiveness and feasibility of the disturbance-rejection model predictive controller under various working conditions. Compared with the method using only MPC, the dynamic response time of the system frequency regulation under the proposed strategy in this paper is increased by about 29.9 %, and the frequency drop rate is slowed down by 13.5 %. In addition, under the AGC command and continuous load disturbance working conditions, the maximum frequency deviation of the system under the proposed strategy is reduced by about 54.01 % and 48.96 %. The results clearly show that the proposed strategy in this paper significantly improves the dynamic response ability of the system and reduces the frequency fluctuation of the system after disturbance.