Predictive Control of Hydrogen Fuel Cells for Integration into Microgrids

With the rapid development of renewable energy, microgrids have been widely recognized as a flexible and reliable energy system. However, there are still some challenges in integrating hydrogen fuel cells into microgrids, such as the dynamic response performance of fuel cells and optimizing energy management. To address these issues, an improved predictive control strategy is investigated to improve the performance of a hydrogen fuel cell grid-connected microgrid through a hydrogen fuel cell grid-connected approach. The predictive model considers the dynamic response of the cell and the load variation of the microgrid, and an advanced optimization algorithm is used to solve the optimal control input sequence.