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Energy Balance in a Standalone PV Battery Hybrid Generation System on Solar-Powered Aircraft Using the Model Predictive Control Method

Author

Listed:
  • Tanqi Xu

    (The Research Center for New Energy Technology, Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences (CAS), Shanghai 201800, China
    University of the Chinese Academy of Sciences, Beijing 100049, China)

  • Maojie Lei

    (The Research Center for New Energy Technology, Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences (CAS), Shanghai 201800, China
    University of the Chinese Academy of Sciences, Beijing 100049, China)

  • Wenzhu Liu

    (The Research Center for New Energy Technology, Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences (CAS), Shanghai 201800, China
    University of the Chinese Academy of Sciences, Beijing 100049, China)

  • Fanying Meng

    (The Research Center for New Energy Technology, Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences (CAS), Shanghai 201800, China
    University of the Chinese Academy of Sciences, Beijing 100049, China)

  • Dongxiang Lv

    (The Eighteenth Research Institute of China Electronics Group, Tianjin 300384, China)

  • Wentao Hu

    (The Eighteenth Research Institute of China Electronics Group, Tianjin 300384, China)

  • Liping Zhang

    (The Research Center for New Energy Technology, Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences (CAS), Shanghai 201800, China
    University of the Chinese Academy of Sciences, Beijing 100049, China)

  • Chuan Li

    (The Eighteenth Research Institute of China Electronics Group, Tianjin 300384, China)

  • Zhengxin Liu

    (The Research Center for New Energy Technology, Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences (CAS), Shanghai 201800, China
    University of the Chinese Academy of Sciences, Beijing 100049, China)

Abstract

This paper proposes a battery state of charge (SOC)-based energy management strategy using hierarchical distributed model predictive control (HDMPC) for a standalone microgrid on solar-powered long-endurance aircraft. The microgrid was innovatively designed as a two-layer structure in which the first layer consists of a photovoltaic generation and battery storage system named the PV battery module (PBM). The second layer, named the microgrid subsystem (MGSS), consists of several PBMs, each of which supplies power to a specific DC load on the aircraft. The control system is divided into two levels: the grid-level model predictive control (MPC) and the converter-level MPC. The grid-level MPC adopts a distributed model predictive control strategy to obtain the reference power of each module. The converter-level MPC calculates the control variables of converters using a supervisory model predictive control (SMPC) strategy. The new microgrid structure and the proposed control strategy have improved the reliability of the energy system and increased its energy utilization rate.

Suggested Citation

  • Tanqi Xu & Maojie Lei & Wenzhu Liu & Fanying Meng & Dongxiang Lv & Wentao Hu & Liping Zhang & Chuan Li & Zhengxin Liu, 2023. "Energy Balance in a Standalone PV Battery Hybrid Generation System on Solar-Powered Aircraft Using the Model Predictive Control Method," Energies, MDPI, vol. 16(17), pages 1-15, August.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:17:p:6185-:d:1225309
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    References listed on IDEAS

    as
    1. Antonio Russo & Alberto Cavallo, 2023. "Stability and Control for Buck–Boost Converter for Aeronautic Power Management," Energies, MDPI, vol. 16(2), pages 1-21, January.
    2. Subarto Kumar Ghosh & Tushar Kanti Roy & Md Abu Hanif Pramanik & Ajay Krishno Sarkar & Md. Apel Mahmud, 2020. "An Energy Management System-Based Control Strategy for DC Microgrids with Dual Energy Storage Systems," Energies, MDPI, vol. 13(11), pages 1-16, June.
    Full references (including those not matched with items on IDEAS)

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