Trends of optimal dispatching of microgrid for fishery based on model predictive control

As a constrained optimization strategy, model predictive control (MPC) is widely used in the optimal dispatch of microgrids. Rolling optimization and feedback correction strategy can effectively deal with the impact due to the system uncertainty and model mismatch which ensures the stable operation of the microgrid. Due to the uncertainty of distributed power sources, MPC can be applied to solve the problem of renewable energy output in microgrid for fishery. This paper reviews the optimal dispatch of microgrid for fishery based on model predictive control. Firstly, this article introduces the basic principles and classification of model predictive control, and then explains the remaining problems and research directions. The characteristics of the microgrid optimal dispatching problem are described, and the analysis are focused on how MPC solves the uncertain problems in the microgrid optimal dispatching. Finally, perspectives and the future research direction of model predictive control in microgrid energy dispatch is reviewed.(c) 2021 China Agricultural University. Production and hosting by Elsevier B.V. on behalf of KeAi. This is an open access article under the CC BY-NC-ND license (http://creativecommons. org/licenses/by-nc-nd/4.0/).