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

Author

Listed:
  • Xin Wang

    (Department of Electrical and Electronic Engineering, Faculty of Engineering, University of Nottingham, Nottingham NG8 1BB, UK)

  • Jason Atkin

    (Computational Optimisation and Learning Lab, School of Computer Science, University of Nottingham, Nottingham NG8 1BB, UK)

  • Najmeh Bazmohammadi

    (Centre for Research on Microgrids (CROM), AAU Energy, Aalborg University, 9220 Aalborg East, Denmark)

  • Serhiy Bozhko

    (Department of Electrical and Electronic Engineering, Faculty of Engineering, University of Nottingham, Nottingham NG8 1BB, UK)

  • Josep M. Guerrero

    (Centre for Research on Microgrids (CROM), AAU Energy, Aalborg University, 9220 Aalborg East, Denmark)

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.

Suggested Citation

  • Xin Wang & Jason Atkin & Najmeh Bazmohammadi & Serhiy Bozhko & Josep M. Guerrero, 2021. "Optimal Load and Energy Management of Aircraft Microgrids Using Multi-Objective Model Predictive Control," Sustainability, MDPI, vol. 13(24), pages 1-24, December.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:24:p:13907-:d:703819
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    References listed on IDEAS

    as
    1. Zhang, He & Saudemont, Christophe & Robyns, Benoît & Meuret, Régis, 2010. "Comparison of different DC voltage supervision strategies in a local Power Distribution System of More Electric Aircraft," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(2), pages 263-276.
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    Cited by:

    1. Trinadh Pamulapati & Muhammed Cavus & Ishioma Odigwe & Adib Allahham & Sara Walker & Damian Giaouris, 2022. "A Review of Microgrid Energy Management Strategies from the Energy Trilemma Perspective," Energies, MDPI, vol. 16(1), pages 1-34, December.
    2. Flavia Fechete & Anișor Nedelcu, 2022. "Multi-Objective Optimization of the Organization’s Performance for Sustainable Development," Sustainability, MDPI, vol. 14(15), pages 1-20, July.
    3. Xie, Peilin & Tan, Sen & Bazmohammadi, Najmeh & Guerrero, Josep. M. & Vasquez, Juan. C. & Alcala, Jose Matas & Carreño, Jorge El Mariachet, 2022. "A distributed real-time power management scheme for shipboard zonal multi-microgrid system," Applied Energy, Elsevier, vol. 317(C).
    4. Zhen Huang & Xuechun Xiao & Yuan Gao & Yonghong Xia & Tomislav Dragičević & Pat Wheeler, 2023. "Emerging Information Technologies for the Energy Management of Onboard Microgrids in Transportation Applications," Energies, MDPI, vol. 16(17), pages 1-26, August.
    5. Alexander Micallef & Josep M. Guerrero & Juan C. Vasquez, 2023. "New Horizons for Microgrids: From Rural Electrification to Space Applications," Energies, MDPI, vol. 16(4), pages 1-25, February.

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