{"title":"Optimised architecture design for an MEA power distribution system considering load profile and fault-tolerance","authors":"Xin Wang, J. Atkin, S. Yeoh, S. Bozhko","doi":"10.1109/ESARS-ITEC57127.2023.10114839","DOIUrl":null,"url":null,"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.","PeriodicalId":38493,"journal":{"name":"AUS","volume":"51 1","pages":"1-7"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"AUS","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ESARS-ITEC57127.2023.10114839","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0
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.
随着多电动飞机(MEA)的发展,需要新型配电系统(pds)来满足机载电力负荷的显著增加。然而,新的设计必须符合严格的飞行操作和安全要求,同时实现优化目标,如减少飞机重量和能源消耗。本文提出了一种针对MEA研究的新型PDS的两阶段优化设计方法。在混合整数线性规划(Mixed-Integer Linear Programming, MILP)中,提出了两个基于功率调度的最优功率损耗和PDS权值最小模型。第一个模型考虑了不同的载荷需求,并在第一个设计阶段同时解决了所有飞行阶段的重量最小化。在第二设计阶段,针对所有故障情况和选择的典型战斗阶段,进一步优化获得的体系结构,以提高PDS的可靠性。因此,获得了低功耗、轻权重和容错的PDS体系结构。通过实例分析,说明了采用该方法对PDS系统的改进效果。
期刊介绍:
Revista AUS es una publicación académica de corriente principal perteneciente a la comunidad de investigadores de la arquitectura y el urbanismo sostenibles, en el ámbito de las culturas locales y globales. La revista es semestral, cuenta con comité editorial y sus artículos son revisados por pares en el sistema de doble ciego. Periodicidad semestral.