HABIBU HUSSAINI Habibu.Hussaini1@nottingham.ac.uk
Research Fellow
Artificial Intelligence-Based Hierarchical Control Design for Current Sharing and Voltage Restoration in DC Microgrid of the More Electric Aircraft
Hussaini, Habibu; Yang, Tao; Bai, Ge; Urrutia-Ortiz, Matías; Bozhko, Serhiy
Authors
TAO YANG TAO.YANG@NOTTINGHAM.AC.UK
Professor of Aerospace Electricalsystems
Ge Bai
Matías Urrutia-Ortiz
Professor SERHIY BOZHKO serhiy.bozhko@nottingham.ac.uk
Professor of Aircraft Electric Power Systems
Abstract
In the conventional droop control method employed in the primary control layer, there is an inherent tradeoff between current-sharing accuracy and voltage regulation. Consequently, to achieve both accurate current sharing and maintain the bus voltage at its nominal value, secondary control schemes are implemented. Nevertheless, a proper design of control parameters of an electrical power system (EPS) is important as it has a huge impact on its stability and dynamic features. To that end, this article proposes a novel artificial intelligent-based design strategy for the optimal design of the power sharing and bus voltage compensation coefficients for the islanded more electric aircraft (MEA) EPS dc microgrid. Through the proposed approach, the bus voltage regulation and dynamic performance of the MEA EPS are improved in different EPS operation conditions when compared with the state-of-the-art methods. Furthermore, the safety and continuous operation of the electrical loads onboard the MEA are guaranteed. The proposed control approach can be conveniently implemented since there is no need for additional controllers and existing communication infrastructure such as power line communication can be utilized. The effectiveness of the proposed approach is validated in both simulations and hardware-in-the-loop experiments.
Citation
Hussaini, H., Yang, T., Bai, G., Urrutia-Ortiz, M., & Bozhko, S. (2024). Artificial Intelligence-Based Hierarchical Control Design for Current Sharing and Voltage Restoration in DC Microgrid of the More Electric Aircraft. IEEE Transactions on Transportation Electrification, 10(1), 566-582. https://doi.org/10.1109/tte.2023.3289773
Journal Article Type | Article |
---|---|
Acceptance Date | Jun 13, 2023 |
Online Publication Date | Jul 3, 2023 |
Publication Date | 2024-03 |
Deposit Date | Apr 29, 2024 |
Publicly Available Date | Apr 29, 2024 |
Journal | IEEE Transactions on Transportation Electrification |
Electronic ISSN | 2332-7782 |
Publisher | Institute of Electrical and Electronics Engineers |
Peer Reviewed | Peer Reviewed |
Volume | 10 |
Issue | 1 |
Pages | 566-582 |
DOI | https://doi.org/10.1109/tte.2023.3289773 |
Public URL | https://nottingham-repository.worktribe.com/output/22727209 |
Publisher URL | https://ieeexplore.ieee.org/document/10171967 |
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