Comparison of Hierarchical MPC-Based Energy Management Strategies for Residential Microgrids

This paper compares three structures of model predictive control (MPC) approaches to address challenges in residential microgrids, mainly due to the incoincident time slot of available energy production and energy consumption. The control objective is to minimize the building energy consumption while fulfilling various constraints. The optimization problem takes into account the fluctuations in the energy demand. Through simulations, we evaluate the control performance under each approach, highlighting their trade-offs and suitability for different microgrid configurations. The simulation results offer valuable insights into the potential of MPC in optimizing residential energy management, guiding the selection of energy management system approaches that best align with specific operational goals.