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Energy Storage System Control for Energy Management in Advanced Aeronautic Applications

Author

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  • A. Cavallo
  • G. Canciello
  • B. Guida

Abstract

In this paper an issue related to electric energy management on board an aircraft is considered. A battery pack is connected to a high-voltage bus through a controlled Battery Charge/Discharge Unit (BCDU) that makes the overall behaviour of the battery “intelligent.” Specifically, when the aeronautic generator feeding the high-voltage bus has enough energy the battery is kept under charge, while if more loads are connected to the bus, so that the overload capacity of the generator is exceeded, the battery “helps” the generator by releasing its stored energy. The core of the application is a robust, supervised control strategy for the BCDU that automatically reverts the flow of power in the battery, when needed. Robustness is guaranteed by a low-level high gain control strategy. Switching from full-charge mode (i.e., when the battery absorbs power from the generator) to generator mode (i.e., when the battery pumps energy on the high-voltage bus) is imposed by a high-level supervisor. Different from previous approaches, mathematical proofs of stability are given for the controlled system. A switching implementation using a finite-time convergent controller is also proposed. The effectiveness of the proposed strategy is shown by detailed simulations in Matlab/Stateflow/SimPowerSystem.

Suggested Citation

  • A. Cavallo & G. Canciello & B. Guida, 2017. "Energy Storage System Control for Energy Management in Advanced Aeronautic Applications," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-9, April.
    • Handle: RePEc:hin:jnlmpe:4083132
    DOI: 10.1155/2017/4083132
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    Cited by:

    1. Jhoan Alejandro Montenegro-Oviedo & Carlos Andres Ramos-Paja & Martha Lucia Orozco-Gutierrez & Edinson Franco-Mejía & Sergio Ignacio Serna-Garcés, 2023. "Adaptive Controller for Bus Voltage Regulation on a DC Microgrid Using a Sepic/Zeta Battery Charger/Discharger," Mathematics, MDPI, vol. 11(4), pages 1-30, February.
    2. Prottay M. Adhikari & Luigi Vanfretti & Hao Chang & Koushik Kar, 2023. "Real-Time Control of a Battery Energy Storage System Using a Reconfigurable Synchrophasor-Based Control System," Energies, MDPI, vol. 16(19), pages 1-20, September.
    3. Paweł Pijarski & Piotr Kacejko & Piotr Miller, 2023. "Advanced Optimisation and Forecasting Methods in Power Engineering—Introduction to the Special Issue," Energies, MDPI, vol. 16(6), pages 1-20, March.
    4. Abdallah El Zerk & Mohammed Ouassaid, 2023. "Real-Time Fuzzy Logic Based Energy Management System for Microgrid Using Hardware in the Loop," Energies, MDPI, vol. 16(5), pages 1-21, February.
    5. Sharmila Sumsurooah & Yun He & Marcello Torchio & Konstantinos Kouramas & Beniamino Guida & Fabrizio Cuomo & Jason Atkin & Serhiy Bozhko & Alfredo Renzetti & Antonio Russo & Stefano Riverso & Alberto , 2021. "ENIGMA—A Centralised Supervisory Controller for Enhanced Onboard Electrical Energy Management with Model in the Loop Demonstration," Energies, MDPI, vol. 14(17), pages 1-17, September.

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