IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v339y2023ics0306261923003835.html
   My bibliography  Save this article

A robust autonomous sliding-mode control of renewable DC microgrids for decentralized power sharing considering large-signal stability

Author

Listed:
  • Li, Xiangke
  • Wang, Minghao
  • Dong, Chaoyu
  • Jiang, Wentao
  • Xu, Zhao
  • Wu, Xiaohua
  • Jia, Hongjie

Abstract

DC microgrids (MGs) are providing a pathway toward a zero-carbon-based future. The intermittent renewable energy sources (RESs) and non-linear constant power loads (CPLs) thrive in DC MGs, craving for effective coordinative control solutions to ensure the stability of DC MGs. In this paper, a robust autonomous sliding mode control (SMC) scheme is proposed for achieving a globally stable and decentralized power sharing operation of multiple dispatchable units (DUs) in CPL-integrated DC MGs. Firstly, by using the high-order finite-time observer (HOFTO) technique, the disturbances, such as the power coupling and parameter uncertainties between different DU-interfaced converters, are self-eliminated within a finite time without any output current sensor and communication link. Secondly, a decentralized control scheme synthesizing the robust SMC and droop control algorithm is proposed to achieve proportional power sharing among paralleled DUs and precise DC bus voltage regulation. The proposed control guarantees the global system’s large-signal stability by ensuring the local stability of an individual converter, offering a simple yet effective stable coordinative solution. Finally, simulation and experimental results verify the effectiveness of the proposed strategy.

Suggested Citation

  • Li, Xiangke & Wang, Minghao & Dong, Chaoyu & Jiang, Wentao & Xu, Zhao & Wu, Xiaohua & Jia, Hongjie, 2023. "A robust autonomous sliding-mode control of renewable DC microgrids for decentralized power sharing considering large-signal stability," Applied Energy, Elsevier, vol. 339(C).
  • Handle: RePEc:eee:appene:v:339:y:2023:i:c:s0306261923003835
    DOI: 10.1016/j.apenergy.2023.121019
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261923003835
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2023.121019?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hooper, Tara & Beaumont, Nicola & Hattam, Caroline, 2017. "The implications of energy systems for ecosystem services: A detailed case study of offshore wind," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 230-241.
    2. Li, Xiangke & Dong, Chaoyu & Jiang, Wentao & Wu, Xiaohua, 2021. "An improved coordination control for a novel hybrid AC/DC microgrid architecture with combined energy storage system," Applied Energy, Elsevier, vol. 292(C).
    3. Yuan, Minghan & Fu, Yang & Mi, Yang & Li, Zhenkun & Wang, Chengshan, 2019. "Hierarchical control of DC microgrid with dynamical load power sharing," Applied Energy, Elsevier, vol. 239(C), pages 1-11.
    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. Armghan, Hammad & Yang, Ming & Ali, Naghmash & Armghan, Ammar & Alanazi, Abdulaziz, 2022. "Quick reaching law based global terminal sliding mode control for wind/hydrogen/battery DC microgrid," Applied Energy, Elsevier, vol. 316(C).
    2. Qu, Yang & Hooper, Tara & Austen, Melanie C. & Papathanasopoulou, Eleni & Huang, Junling & Yan, Xiaoyu, 2023. "Development of a computable general equilibrium model based on integrated macroeconomic framework for ocean multi-use between offshore wind farms and fishing activities in Scotland," Applied Energy, Elsevier, vol. 332(C).
    3. Wilding, Thomas A. & Gill, Andrew B. & Boon, Arjen & Sheehan, Emma & Dauvin, Jean–Claude & Pezy, Jean-Philippe & O’Beirn, Francis & Janas, Urszula & Rostin, Liis & De Mesel, Ilse, 2017. "Turning off the DRIP (‘Data-rich, information-poor’) – rationalising monitoring with a focus on marine renewable energy developments and the benthos," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 848-859.
    4. Harrold, Daniel J.B. & Cao, Jun & Fan, Zhong, 2022. "Renewable energy integration and microgrid energy trading using multi-agent deep reinforcement learning," Applied Energy, Elsevier, vol. 318(C).
    5. O., Yugeswar Reddy & J., Jithendranath & Chakraborty, Ajoy Kumar & Guerrero, Josep M., 2022. "Stochastic optimal power flow in islanded DC microgrids with correlated load and solar PV uncertainties," Applied Energy, Elsevier, vol. 307(C).
    6. Yang, Bo & Yu, Tao & Shu, Hongchun & Dong, Jun & Jiang, Lin, 2018. "Robust sliding-mode control of wind energy conversion systems for optimal power extraction via nonlinear perturbation observers," Applied Energy, Elsevier, vol. 210(C), pages 711-723.
    7. Mi, Yang & Chen, Xin & Ji, Hongpeng & Ji, Liang & Fu, Yang & Wang, Chengshan & Wang, Jianhui, 2019. "The coordinated control strategy for isolated DC microgrid based on adaptive storage adjustment without communication," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    8. Bouzid, Allal El Moubarek & Chaoui, Hicham & Zerrougui, Mohamed & Ben Elghali, Seifeddine & Benbouzid, Mohamed, 2021. "Robust control based on linear matrix inequalities criterion of single phase distributed electrical energy systems operating in islanded and grid-connected modes," Applied Energy, Elsevier, vol. 292(C).
    9. dos Santos Neto, Pedro J. & Barros, Tárcio A.S. & Silveira, Joao P.C. & Ruppert Filho, Ernesto & Vasquez, Juan C. & Guerrero, Josep M., 2020. "Power management techniques for grid-connected DC microgrids: A comparative evaluation," Applied Energy, Elsevier, vol. 269(C).
    10. Ferahtia, Seydali & Rezk, Hegazy & Abdelkareem, Mohammad Ali & Olabi, A.G., 2022. "Optimal techno-economic energy management strategy for building’s microgrids based bald eagle search optimization algorithm," Applied Energy, Elsevier, vol. 306(PB).
    11. Jun Dong & Shengnan Li & Shuijun Wu & Tingyi He & Bo Yang & Hongchun Shu & Jilai Yu, 2017. "Nonlinear Observer-Based Robust Passive Control of Doubly-Fed Induction Generators for Power System Stability Enhancement via Energy Reshaping," Energies, MDPI, vol. 10(8), pages 1-16, July.
    12. Yu, Hang & Niu, Songyan & Shang, Yitong & Shao, Ziyun & Jia, Youwei & Jian, Linni, 2022. "Electric vehicles integration and vehicle-to-grid operation in active distribution grids: A comprehensive review on power architectures, grid connection standards and typical applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    13. Yu, Hang & Niu, Songyan & Zhang, Yumeng & Jian, Linni, 2020. "An integrated and reconfigurable hybrid AC/DC microgrid architecture with autonomous power flow control for nearly/net zero energy buildings," Applied Energy, Elsevier, vol. 263(C).
    14. Ensheng Zhao & Yang Han & Hao Zeng & Luqiao Li & Ping Yang & Congling Wang & Amr S. Zalhaf, 2022. "Accurate Peer-to-Peer Hierarchical Control Method for Hybrid DC Microgrid Clusters," Energies, MDPI, vol. 16(1), pages 1-27, December.
    15. Mohamed A. Mesbah & Khairy Sayed & Adel Ahmed & Mahmoud Aref & Z. M. S. Elbarbary & Ali Saeed Almuflih & Mahmoud A. Mossa, 2024. "Adaptive Control Approach for Accurate Current Sharing and Voltage Regulation in DC Microgrid Applications," Energies, MDPI, vol. 17(2), pages 1-19, January.
    16. Heidari, Saeed & Hatami, Alireza & Eskandari, Mohsen, 2022. "An intelligent capacity management system for interface converter in AC-DC hybrid microgrids," Applied Energy, Elsevier, vol. 316(C).
    17. Sedlar, D. Karasalihović & Vulin, D. & Krajačić, G. & Jukić, L., 2019. "Offshore gas production infrastructure reutilisation for blue energy production," Renewable and Sustainable Energy Reviews, Elsevier, vol. 108(C), pages 159-174.
    18. Khalid Javed & Lieven Vandevelde & Frederik De Belie, 2022. "Analysis and Demonstration of Control Scheme for Multiple Operating Modes of Energy Storage Converters to Enhance Power Factor," Mathematics, MDPI, vol. 10(19), pages 1-26, September.
    19. Abulanwar, Sayed & Ghanem, Abdelhady & Rizk, Mohammad E.M. & Hu, Weihao, 2021. "Adaptive synergistic control strategy for a hybrid AC/DC microgrid during normal operation and contingencies," Applied Energy, Elsevier, vol. 304(C).
    20. Cuadra, L. & Ocampo-Estrella, I. & Alexandre, E. & Salcedo-Sanz, S., 2019. "A study on the impact of easements in the deployment of wind farms near airport facilities," Renewable Energy, Elsevier, vol. 135(C), pages 566-588.

    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:eee:appene:v:339:y:2023:i:c:s0306261923003835. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.