Robust model predictive control for energy management of isolated microgrids

Abstract

This paper proposed a robust model predictive control (RMPC) framework for the energy management of isolated microgrids to cope with the uncertainties and the dynamic of various loads and the renewable energy output. A mixed deterministic integer programming model of the energy management of isolated microgrids was firstly proposed with the goal of minimizing the cost of integrated economic operation, then the robust counterpart of the deterministic energy management optimization model was derived. After that, based on the model predictive control (MPC) framework, we proposed an online energy scheduling strategy, in which through adjusting the related settings in the robust optimization, the isolated microgrid can adapt to the various uncertain risks in energy management. At last we used a numeric test to verify the effectiveness of the proposed model and the proposed RMPC framework.