IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i17p6185-d1225309.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/17/6185/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/17/6185/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gustavo Navarro & Jorge Torres & Marcos Blanco & Jorge Nájera & Miguel Santos-Herran & Marcos Lafoz, 2021. "Present and Future of Supercapacitor Technology Applied to Powertrains, Renewable Generation and Grid Connection Applications," Energies, MDPI, vol. 14(11), pages 1-29, May.
    2. Mingkai Wang & Saulo O. D. Luiz & Shuguang Zhang & Antonio M. N. Lima, 2023. "Electric Flight in Extreme and Uncertain Urban Environments," Sustainability, MDPI, vol. 15(16), pages 1-22, August.
    3. Franciéli Lima de Sá & Domingo Ruiz-Caballero & Cleiton Dal’Agnol & William Rafhael da Silva & Samir Ahmad Mussa, 2023. "High Static Gain DC–DC Double Boost Quadratic Converter," Energies, MDPI, vol. 16(17), pages 1-24, September.
    4. Sabrina Yeasmin & Tushar Kanti Roy & Subarto Kumar Ghosh, 2022. "Design of Robust Integral Terminal Sliding Mode Controllers with Exponential Reaching Laws for Solar PV and BESS-Based DC Microgrids with Uncertainties," Sustainability, MDPI, vol. 14(13), pages 1-17, June.
    5. Subarto Kumar Ghosh & Tushar Kanti Roy & Md. Abu Hanif Pramanik & Md. Apel Mahmud, 2021. "Design of Nonlinear Backstepping Double-Integral Sliding Mode Controllers to Stabilize the DC-Bus Voltage for DC–DC Converters Feeding CPLs," Energies, MDPI, vol. 14(20), pages 1-16, October.
    6. Yuri Bulatov & Andrey Kryukov & Konstantin Suslov, 2022. "Simulation of Power Router-Based DC Distribution Systems with Distributed Generation and Energy Storage Units," Energies, MDPI, vol. 16(1), pages 1-16, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:16:y:2023:i:17:p:6185-:d:1225309. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.