Proton Exchange Membrane Fuel Cell in DC Microgrids with a New Adaptive Model Predictive Control

A new adaptive model predictive control (AMPC) is proposed in this paper to enhance the performance of proton exchange membrane fuel cell (PEMFC) in DC microgrids. 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 system parameter variations are verified by simulation results.