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
N1 - Publisher Copyright:
© 2023 IEEE.
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 - http://www.scopus.com/inward/record.url?scp=85167565144&partnerID=8YFLogxK
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 -
