Privacy-preserving unknown input observer-based decentralized predictive control of Microgrids

This paper studies the decentralized predictive control problem for microgrids. The proposed constrained control method has the following advantages: (1) it takes into account the privacy protection of the control system, which helps to protect the network transmission data and block the influence of eavesdropping attacks; (2) the observer and the controller are determined by the integrated design, which helps to reduce the influence of the bi-directional interaction error between the estimation error and the control error and improve the robustness of the predictive control. Finally, the validity of the above conclusions obtained in this paper is verified by a numerical example.