A Novel Adaptive Model Predictive Control Strategy of Solid Oxide Fuel Cell in Power Systems

A new adaptive model predictive control (AMPC) is proposed in this paper to enhance the performance of solid oxide fuel cell (SOFC) in complex power systems. Compared to the existing methods, such as the PI control and conventional model predictive control, the proposed algorithm produces better tracking performances and overcomes the problem of model dependence. The effectiveness of the proposed algorithm under power grid fault and system parameter variations are verified by simulation results.