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Fault-tolerant hierarchical energy management system for an electrical power system on more-electric aircraft

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  • Wang, Xin
  • Atkin, Jason
  • Bozhko, Serhiy

Abstract

The concept of More-Electric Aircraft (MEA) has the potential to improve the environmental, economic, and reliability performance in the energy and transportation sectors. To achieve this potential, it has become a tendency to develop complex architectures of Electrical Power Systems (EPSs) for MEA to supply increasing electrical power demands. Moreover, a reliable and intelligent Energy Management System (EMS) is critical to coordinate the various EPS subsystems to ensure safe and efficient flight, following the real-time EPS operating requirements and safety criteria, while reducing the operating costs for all flight stages. This paper presents a fault-tolerant hierarchical EMS, for an innovative multi-converter-based aircraft EPS, to configure the system, ensure power distribution, and manage energy storage in multiple faulty scenarios over different time scales. There are two levels in this EMS: The High Level (HL) is based on Model Predictive Control (MPC), formulated by Mixed-Integer-Linear-Programming (MILP), to optimise the long-term EPS performance while considering future predictions; The Low Level (LL) adopts deterministic rules to cope with load changes and fault occurrences over the short term, during the HL sample intervals, with a faster clock. In particular, the LL controller contains four modes: to either cooperate with the HL online MPC or to operate independently, in either EPS normal or faulty conditions. The proposed EMS is evaluated in two cases, firstly considering load deviations in a normal operating scenario, and then considering behaviour in fault scenarios. The results indicate that the proposed EMS successfully reduces the EPS operational costs while ensuring quick responses to dynamic changes with either EPS component faults or EMS internal faults.

Suggested Citation

  • Wang, Xin & Atkin, Jason & Bozhko, Serhiy, 2025. "Fault-tolerant hierarchical energy management system for an electrical power system on more-electric aircraft," Applied Energy, Elsevier, vol. 379(C).
    • Handle: RePEc:eee:appene:v:379:y:2025:i:c:s0306261924023389
    DOI: 10.1016/j.apenergy.2024.124955
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    1. Ghaemi, Zahra & Tran, Thomas T.D. & Smith, Amanda D., 2022. "Comparing classical and metaheuristic methods to optimize multi-objective operation planning of district energy systems considering uncertainties," Applied Energy, Elsevier, vol. 321(C).
    2. Zhang, Jinning & Roumeliotis, Ioannis & Zolotas, Argyrios, 2022. "Model-based fully coupled propulsion-aerodynamics optimization for hybrid electric aircraft energy management strategy," Energy, Elsevier, vol. 245(C).
    3. Prodan, Ionela & Zio, Enrico & Stoican, Florin, 2015. "Fault tolerant predictive control design for reliable microgrid energy management under uncertainties," Energy, Elsevier, vol. 91(C), pages 20-34.
    4. Wang, Yujie & Sun, Zhendong & Chen, Zonghai, 2019. "Energy management strategy for battery/supercapacitor/fuel cell hybrid source vehicles based on finite state machine," Applied Energy, Elsevier, vol. 254(C).
    5. Zheng, Fengying & Chen, Yuang & Zhang, Jingyang & Cheng, Fengna & Zhang, Jingzhou, 2023. "A two-stage energy management for integrated thermal/energy optimization of aircraft airborne system based on Stackelberg game," Energy, Elsevier, vol. 269(C).
    6. Restrepo, Mauricio & Cañizares, Claudio A. & Simpson-Porco, John W. & Su, Peter & Taruc, John, 2021. "Optimization- and Rule-based Energy Management Systems at the Canadian Renewable Energy Laboratory microgrid facility," Applied Energy, Elsevier, vol. 290(C).
    7. 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.
    8. 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.
    9. Collins, Jeffrey M. & McLarty, Dustin, 2020. "All-electric commercial aviation with solid oxide fuel cell-gas turbine-battery hybrids," Applied Energy, Elsevier, vol. 265(C).
    10. Elkazaz, Mahmoud & Sumner, Mark & Naghiyev, Eldar & Pholboon, Seksak & Davies, Richard & Thomas, David, 2020. "A hierarchical two-stage energy management for a home microgrid using model predictive and real-time controllers," Applied Energy, Elsevier, vol. 269(C).
    11. Ollas, Patrik & Sigarchian, Sara Ghaem & Alfredsson, Hampus & Leijon, Jennifer & Döhler, Jessica Santos & Aalhuizen, Christoffer & Thiringer, Torbjörn & Thomas, Karin, 2023. "Evaluating the role of solar photovoltaic and battery storage in supporting electric aviation and vehicle infrastructure at Visby Airport," Applied Energy, Elsevier, vol. 352(C).
    12. Shi, Wenzhuo & Huangfu, Yigeng & Xu, Liangcai & Pang, Shengzhao, 2022. "Online energy management strategy considering fuel cell fault for multi-stack fuel cell hybrid vehicle based on multi-agent reinforcement learning," Applied Energy, Elsevier, vol. 328(C).
    13. Shan, Chuan & Sun, Kangwen & Ji, Xinzhe & Cheng, Dongji, 2023. "A reconfiguration method for photovoltaic array of stratospheric airship based on multilevel optimization algorithm," Applied Energy, Elsevier, vol. 352(C).
    14. Liu, Hanyou & Fan, Ailong & Li, Yongping & Bucknall, Richard & Chen, Li, 2024. "Hierarchical distributed MPC method for hybrid energy management: A case study of ship with variable operating conditions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    15. Haubensak, Lukas & Strahl, Stephan & Braun, Jochen & Faulwasser, Timm, 2024. "Towards real-time capable optimal control for fuel cell vehicles using hierarchical economic MPC," Applied Energy, Elsevier, vol. 366(C).
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