摘要：AbstractThis paper presents model predictive control (MPC) strategies with a shrinking horizon approach to track local control systems when subject to supervisory trajectories. The supervisory trajectories are generated using economic receding horizon optimization based on energy management in energy-intensive industries (e.g., chlor-alkali process) with a hybrid renewable energy system (HRES), including solar, wind, and fuel cell sub-systems to provide sustainable power supply. A planer solid oxide fuel cell system is adopted in this study, and its power output is regulated using a constrained shrinking horizon MPC controller. The feasibility of MPC control algorithm in regulating energy sub-systems within a supervisory MPC framework will be studied and evaluated at different parameters. The main contribution of this paper is to provide practical control options when addressing technical viability concerns of hybrid energy system implementation.
