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ENIGMA—A Centralised Supervisory Controller for Enhanced Onboard Electrical Energy Management with Model in the Loop Demonstration

Author

Listed:
  • Sharmila Sumsurooah

    (Power Electronics Machines and Control Research Group, Faculty of Engineering, University of Nottingham, Nottingham NG7 2TU, UK)

  • Yun He

    (School of Computer Science, University of Nottingham, Nottingham NG8 1BB, UK)

  • Marcello Torchio

    (Applied Research & Technology, Collins Aerospace, T23 XN53 Cork, Ireland)

  • Konstantinos Kouramas

    (Applied Research & Technology, Collins Aerospace, T23 XN53 Cork, Ireland)

  • Beniamino Guida

    (Aeromechs, 81031 Aversa, Italy)

  • Fabrizio Cuomo

    (Leonardo Aircraft Division, Leonardo Aircraft, 80038 Pomigliano D’Arco, Italy)

  • Jason Atkin

    (School of Computer Science, University of Nottingham, Nottingham NG8 1BB, UK)

  • Serhiy Bozhko

    (Power Electronics Machines and Control Research Group, Faculty of Engineering, University of Nottingham, Nottingham NG7 2TU, UK)

  • Alfredo Renzetti

    (Aeromechs, 81031 Aversa, Italy)

  • Antonio Russo

    (Department of Engineering, Università degli Studi della Campania “Luigi Vanvitelli”, 81031 Aversa, Italy)

  • Stefano Riverso

    (Applied Research & Technology, Collins Aerospace, T23 XN53 Cork, Ireland)

  • Alberto Cavallo

    (Department of Engineering, Università degli Studi della Campania “Luigi Vanvitelli”, 81031 Aversa, Italy)

Abstract

A centralised smart supervisor (CSS) controller with enhanced electrical energy management (E2-EM) capability has been developed for an Iron Bird Electrical Power Generation and Distribution System (EPGDS) within the Clean Sky 2 ENhanced electrical energy MAnagement (ENIGMA) project. The E2-EM strategy considers the potential for eliminating the 5 min overload capability of the generators to achieve a substantial reduction in the mass of the EPGDS. It ensures optimal power and energy sharing within the EPGDS by interfacing the CSS with the smart grid network (SGN), the energy storage and regeneration system (ESRS), and the programmable load bank 1 secondary distribution board (PLB1 SDU) during power overloads and failure conditions. The CSS has been developed by formalizing E2-EM logic as an algorithm operating in real time and by following safety and reliability rules. The CSS undergoes initial verification using model-in-the-loop (MIL) testing. This paper describes the EPGDS simulated for the MIL testing and details the E2-EM strategy, the algorithms, and logic developed for the ENIGMA CSS design. The CSS was subjected to two test cases using MIL demonstration, and based on the test results, the performance of the ENIGMA CSS is verified and validated.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:17:p:5518-:d:628799
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    References listed on IDEAS

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    1. 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.
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    Cited by:

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    2. 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.
    3. Mubashir Rasool & Muhammad Adil Khan & Runmin Zou, 2023. "A Comprehensive Analysis of Online and Offline Energy Management Approaches for Optimal Performance of Fuel Cell Hybrid Electric Vehicles," Energies, MDPI, vol. 16(8), pages 1-33, April.
    4. Karol Jakub Listewnik, 2022. "A Method for the Evaluation of Power-Generating Sets Based on the Assessment of Power Quality Parameters," Energies, MDPI, vol. 15(14), pages 1-24, July.
    5. Adrian Chmielewski & Piotr Piórkowski & Krzysztof Bogdziński & Jakub Możaryn, 2023. "Application of a Bidirectional DC/DC Converter to Control the Power Distribution in the Battery–Ultracapacitor System," Energies, MDPI, vol. 16(9), pages 1-40, April.

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