Abstract
This paper proposes a two-stage stochastic model predictive control (SMPC) for the operation management of more electric aircraft (MEA). The goal is to minimize load shedding and switching activities in the system, considering the uncertainty of load profile, while optimally charging/discharging the battery-based energy storage system (BESS). In addition, several performance evaluation criteria are introduced to evaluate the effectiveness of the proposed approach. According to the results obtained in 50 random scenarios, SMPC leads to less load shedding time, higher stored energy levels, and lower uncertainty compensation costs compared to its deterministic counterpart.
Original language | English |
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Title of host publication | 2023 25th European Conference on Power Electronics and Applications, EPE 2023 ECCE Europe |
Publication date | Sept 2023 |
Article number | 10264654 |
ISBN (Electronic) | 9789075815412 |
DOIs | |
Publication status | Published - Sept 2023 |
Event | 2023 25th European Conference on Power Electronics and Applications (EPE'23 ECCE Europe) - Aalborg, Denmark Duration: 4 Sept 2023 → 8 Sept 2023 |
Conference
Conference | 2023 25th European Conference on Power Electronics and Applications (EPE'23 ECCE Europe) |
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Country/Territory | Denmark |
City | Aalborg |
Period | 04/09/2023 → 08/09/2023 |
Keywords
- Electrified aircraft
- Energy management
- Load scheduling
- Model Predictive Control
- Optimization