Optimised architecture design for an MEA power distribution system considering load profile and fault-tolerance

Wang, Xin; Atkin, Jason; Yeoh, Seang; Bozhko, Serhiy

Abstract

With the development of More Electric Aircraft (MEA), novel power distribution systems (PDSs) are required to meet significantly increased electrical load demands onboard. Nevertheless, newer designs must comply with the strict flight operational and safety requirements, while achieving optimisation aims, such as reducing aircraft weight and energy consumption. This paper proposes a two-stage optimisation design method for a novel PDS investigated for MEA. Two optimal power scheduling-based models for minimising power losses and PDS weight are formulated in Mixed-Integer Linear Programming (MILP). The first model considers varying load demands and is solved for all flight stages simultaneously in the first design stage for weight minimisation. The obtained architecture is further optimised for all faulty scenarios and selected typical fight stages simultaneously in the second design stage to improve the PDS reliability. Consequently, a low power loss, light weighted, and fault-tolerant PDS architecture is obtained. A case study is provided to exemplify the improvement in the PDS by adopting the proposed method.

• Conference Name: International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC)
• Conference Location: Venice, Italy
• Start Date: Mar 29, 2023
• End Date: Mar 31, 2023
• Acceptance Date: Feb 15, 2023
• Publication Date: Mar 29, 2023
• Deposit Date: May 2, 2024
• Publisher: Institute of Electrical and Electronics Engineers
• DOI: https://doi.org/10.1109/esars-itec57127.2023.10114839
• Keywords: Design methodology , Atmospheric modeling , Fault tolerant systems , Redundancy , Power distribution , Transportation , Reliability engineering , Power Distribution , Fault-tolerant , Architectural Design , Power Distribution System , Low Power , Optimal
• Public URL: https://nottingham-repository.worktribe.com/output/21098373