A Model Predictive Control Scheme for Flight Scheduling and Energy Management of Electric Aviation Networks
CoRR(2024)
Abstract
This paper presents a Model Predictive Control (MPC) scheme for flight
scheduling and energy management of electric aviation networks, where electric
aircraft transport passengers between electrified airports equipped with
sustainable energy sources and battery storage, with the goal of minimizing
grid dependency. Specifically, we first model the aircraft flight and charge
scheduling problem jointly with the airport energy management problem,
explicitly accounting for local weather forecasts. Second, we frame the
minimum-grid-energy operational problem as a mixed-integer linear program and
solve it in a receding horizon fashion, where the route assignment and charging
decisions of each aircraft can be dynamically reassigned to mitigate
disruptions. We showcase the proposed MPC scheme on real-world data taken from
conventional flights and weather conditions in the Dutch Leeward Antilles. Our
results show that MPC can effectively guarantee operation of the network by
efficiently re-assigning flights and rescheduling aircraft charging, whilst
maximizing the efficiency of the on-site energy systems.
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