Optimal load and energy management of aircraft microgrids using multi-objective model predictive control

Wang, Xin; Atkin, Jason; Bazmohammadi, Najmeh; Bozhko, Serhiy; Guerrero, Josep M.

Abstract

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

Citation

Wang, X., Atkin, J., Bazmohammadi, N., Bozhko, S., & Guerrero, J. M. (2021). Optimal load and energy management of aircraft microgrids using multi-objective model predictive control. Sustainability, 13(24), Article 13907. https://doi.org/10.3390/su132413907

• Journal Article Type: Article
• Acceptance Date: Dec 12, 2021
• Online Publication Date: Dec 16, 2021
• Publication Date: Dec 16, 2021
• Deposit Date: Nov 28, 2024
• Publicly Available Date: Dec 6, 2024
• Journal: Sustainability (Switzerland)
• Electronic ISSN: 2071-1050
• Publisher: MDPI
• Peer Reviewed: Peer Reviewed
• Volume: 13
• Issue: 24
• Article Number: 13907
• DOI: https://doi.org/10.3390/su132413907
• Keywords: model predictive control; mixed-integer linear programming; multi-objective optimization; energy storage management; load management; more electric aircraft; demand-side flexibility
• Public URL: https://nottingham-repository.worktribe.com/output/35447632
• Publisher URL: https://www.mdpi.com/2071-1050/13/24/13907