Optimal Load and Energy Management of Aircraft Microgrids Using Multi-Objective Model Predictive Control

Safety issues related to the electrification of more electric aircraft (MEA) need be addressed because increasing complexity electrical power systems and growing number safety-critical sub-systems that powered. Managing energy storage flexibility in load-side plays an important role preserving system’s safety when facing shortage. This paper presents a system-level centralized operation management strategy based on model predictive control (MPC) for MEA schedule battery exploit demand-side while satisfying time-varying operational requirements. The proposed online aims maintain (ES) prolong life cycle, minimizing load shedding, with fewer switching activities improve devices lifetime avoid unnecessary transients. Using mixed-integer linear programming (MILP) formulation, different objective functions are realize targets, soft constraints improving feasibility model. In addition, evaluation framework is analyze effects various prediction horizon system performance, which provides designers users other complex new insights into problem formulation.