Model Predictive Control of Power Converters for Load Fluctuations Attenuation in DC-Microgrid With Fuel Cell and Battery Energy Storage

This paper proposes a constrained model predictive control (MPC) to attenuate the adverse impacts of load power fluctuations in a DC-microgrid incorporating fuel cells (FC) and battery energy storage systems (BES). Various constraints are imposed on the currents of the energy sources and the control inputs of the DC power converters to satisfy their practical limitations. Moreover, the DC link voltage, as well as the load voltage, is constrained within a safe range to ensure the continuous supply of power and prevent degradation of the DC-microgrid due to load power fluctuations. At each sampling instant, the constrained MPC computes a state feedback control policy that minimizes the cost function and satisfies the constraints. The MPC problem is solved using the linear matrix inequality (LMI). The simulation results demonstrate the feasibility of the proposed control scheme.