Research on Decision-making Layer Energy Management Strategy for Airborne Microgrid of MEA

Wei Li; Wentao Zhu; Hongwei Zhao; Weilin Li

doi:10.1109/CIEEC58067.2023.10166014

Research on Decision-making Layer Energy Management Strategy for Airborne Microgrid of MEA

Wei Li
, Wentao Zhu
, Hongwei Zhao
, Weilin Li

School of Automation

The First Aircraft Research Institute of AVIC
Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In recent years, airborne HVDC power supply system has attracted much attention due to its advantages such as simple structure, easy parallel operation, effective suppression of feeder voltage drop and skin effect. However, the load characteristics of future aircraft will be more complex, requiring the on-board power network to have high power storage and pulse discharge capabilities. Therefore, the airborne hybrid power system based on generator-battery-energy storage capacitor not only retains the advantages of More-Electric Aircraft (MEA) for long endurance, but also reduces the great influence of large load pulse on the robustness of airborne power supply system, which has high engineering application value. This paper focuses on the architecture of MEA hybrid propulsion system and energy storage system, and studies the energy management strategies (EMS) of power network cooperative control layer and decision layer. The simulation results show that the designed airborne microgrid can effectively reduce the frequent fluctuations caused by load changes of generators, which provides a reference for the future research of airborne microgrid for MEA.

Original language	English
Title of host publication	2023 IEEE 6th International Electrical and Energy Conference, CIEEC 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	4404-4409
Number of pages	6
ISBN (Electronic)	9798350346671
DOIs	https://doi.org/10.1109/CIEEC58067.2023.10166014
State	Published - 2023
Event	6th IEEE International Electrical and Energy Conference, CIEEC 2023 - Hefei, China Duration: 12 May 2023 → 14 May 2023

Publication series

Name	2023 IEEE 6th International Electrical and Energy Conference, CIEEC 2023

Conference

Conference	6th IEEE International Electrical and Energy Conference, CIEEC 2023
Country/Territory	China
City	Hefei
Period	12/05/23 → 14/05/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Airborne microgrid
Energy management strategy
Model predictive control
More-Electric Aircraft
Power network cooperative control

Access to Document

10.1109/CIEEC58067.2023.10166014

Cite this

Li, W., Zhu, W., Zhao, H., & Li, W. (2023). Research on Decision-making Layer Energy Management Strategy for Airborne Microgrid of MEA. In 2023 IEEE 6th International Electrical and Energy Conference, CIEEC 2023 (pp. 4404-4409). (2023 IEEE 6th International Electrical and Energy Conference, CIEEC 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CIEEC58067.2023.10166014

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title = "Research on Decision-making Layer Energy Management Strategy for Airborne Microgrid of MEA",

abstract = "In recent years, airborne HVDC power supply system has attracted much attention due to its advantages such as simple structure, easy parallel operation, effective suppression of feeder voltage drop and skin effect. However, the load characteristics of future aircraft will be more complex, requiring the on-board power network to have high power storage and pulse discharge capabilities. Therefore, the airborne hybrid power system based on generator-battery-energy storage capacitor not only retains the advantages of More-Electric Aircraft (MEA) for long endurance, but also reduces the great influence of large load pulse on the robustness of airborne power supply system, which has high engineering application value. This paper focuses on the architecture of MEA hybrid propulsion system and energy storage system, and studies the energy management strategies (EMS) of power network cooperative control layer and decision layer. The simulation results show that the designed airborne microgrid can effectively reduce the frequent fluctuations caused by load changes of generators, which provides a reference for the future research of airborne microgrid for MEA.",

keywords = "Airborne microgrid, Energy management strategy, Model predictive control, More-Electric Aircraft, Power network cooperative control",

author = "Wei Li and Wentao Zhu and Hongwei Zhao and Weilin Li",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 6th IEEE International Electrical and Energy Conference, CIEEC 2023 ; Conference date: 12-05-2023 Through 14-05-2023",

year = "2023",

doi = "10.1109/CIEEC58067.2023.10166014",

language = "英语",

series = "2023 IEEE 6th International Electrical and Energy Conference, CIEEC 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "2023 IEEE 6th International Electrical and Energy Conference, CIEEC 2023",

}

Li, W, Zhu, W, Zhao, H & Li, W 2023, Research on Decision-making Layer Energy Management Strategy for Airborne Microgrid of MEA. in 2023 IEEE 6th International Electrical and Energy Conference, CIEEC 2023. 2023 IEEE 6th International Electrical and Energy Conference, CIEEC 2023, Institute of Electrical and Electronics Engineers Inc., pp. 4404-4409, 6th IEEE International Electrical and Energy Conference, CIEEC 2023, Hefei, China, 12/05/23. https://doi.org/10.1109/CIEEC58067.2023.10166014

Research on Decision-making Layer Energy Management Strategy for Airborne Microgrid of MEA. / Li, Wei; Zhu, Wentao; Zhao, Hongwei et al.
2023 IEEE 6th International Electrical and Energy Conference, CIEEC 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 4404-4409 (2023 IEEE 6th International Electrical and Energy Conference, CIEEC 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Research on Decision-making Layer Energy Management Strategy for Airborne Microgrid of MEA

AU - Li, Wei

AU - Zhu, Wentao

AU - Zhao, Hongwei

AU - Li, Weilin

PY - 2023

Y1 - 2023

N2 - In recent years, airborne HVDC power supply system has attracted much attention due to its advantages such as simple structure, easy parallel operation, effective suppression of feeder voltage drop and skin effect. However, the load characteristics of future aircraft will be more complex, requiring the on-board power network to have high power storage and pulse discharge capabilities. Therefore, the airborne hybrid power system based on generator-battery-energy storage capacitor not only retains the advantages of More-Electric Aircraft (MEA) for long endurance, but also reduces the great influence of large load pulse on the robustness of airborne power supply system, which has high engineering application value. This paper focuses on the architecture of MEA hybrid propulsion system and energy storage system, and studies the energy management strategies (EMS) of power network cooperative control layer and decision layer. The simulation results show that the designed airborne microgrid can effectively reduce the frequent fluctuations caused by load changes of generators, which provides a reference for the future research of airborne microgrid for MEA.

AB - In recent years, airborne HVDC power supply system has attracted much attention due to its advantages such as simple structure, easy parallel operation, effective suppression of feeder voltage drop and skin effect. However, the load characteristics of future aircraft will be more complex, requiring the on-board power network to have high power storage and pulse discharge capabilities. Therefore, the airborne hybrid power system based on generator-battery-energy storage capacitor not only retains the advantages of More-Electric Aircraft (MEA) for long endurance, but also reduces the great influence of large load pulse on the robustness of airborne power supply system, which has high engineering application value. This paper focuses on the architecture of MEA hybrid propulsion system and energy storage system, and studies the energy management strategies (EMS) of power network cooperative control layer and decision layer. The simulation results show that the designed airborne microgrid can effectively reduce the frequent fluctuations caused by load changes of generators, which provides a reference for the future research of airborne microgrid for MEA.

KW - Airborne microgrid

KW - Energy management strategy

KW - Model predictive control

KW - More-Electric Aircraft

KW - Power network cooperative control

UR - https://www.scopus.com/pages/publications/85167565144

U2 - 10.1109/CIEEC58067.2023.10166014

DO - 10.1109/CIEEC58067.2023.10166014

M3 - 会议稿件

AN - SCOPUS:85167565144

T3 - 2023 IEEE 6th International Electrical and Energy Conference, CIEEC 2023

SP - 4404

EP - 4409

BT - 2023 IEEE 6th International Electrical and Energy Conference, CIEEC 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 6th IEEE International Electrical and Energy Conference, CIEEC 2023

Y2 - 12 May 2023 through 14 May 2023

ER -

Li W, Zhu W, Zhao H, Li W. Research on Decision-making Layer Energy Management Strategy for Airborne Microgrid of MEA. In 2023 IEEE 6th International Electrical and Energy Conference, CIEEC 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 4404-4409. (2023 IEEE 6th International Electrical and Energy Conference, CIEEC 2023). doi: 10.1109/CIEEC58067.2023.10166014

Research on Decision-making Layer Energy Management Strategy for Airborne Microgrid of MEA

Abstract

Publication series

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UN SDGs

Keywords

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