Adaptive multistep model predictive control for tubular grid-connected solid oxide fuel cells

In the research of renewable energy power generation, tubular grid-connected solid oxide fuel cells with apparent advantage in voltage regulation have been widely applied systems. Recently, a model predictive control has to consider nonlinear constraints cells, which cannot be considered by proportional-integral-derivative controller. Both and controller achieve only 80% efficiency. An adaptive multistep (AMMPC) is proposed improve efficiency simultaneously systemic thermodynamics electrochemistry constraints. The AMMPC contains advantages control. two-step three-step are designed for cells. With more accurate prediction ability, improves higher (86.5%) than (80%) (80%). feasibility effectiveness verified high under simple complex demands cases.