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Accurate Peer-to-Peer Hierarchical Control Method for Hybrid DC Microgrid Clusters

Author

Listed:
  • Ensheng Zhao

    (School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China)

  • Yang Han

    (School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China)

  • Hao Zeng

    (School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China)

  • Luqiao Li

    (China Academy of Engineering Physics, Mianyang 624900, China)

  • Ping Yang

    (School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China)

  • Congling Wang

    (School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China)

  • Amr S. Zalhaf

    (School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
    Electrical Power and Machines Engineering Department, Tanta University, Tanta 31511, Egypt)

Abstract

Hybrid DC microgrid clusters contain various types of converters such as BOOST, BUCK, and bidirectional DC/DC converters, making the control strategy complex and difficult to achieve plug-and-play. The common master–slave hierarchical control strategy makes it difficult to achieve accurate and stable system control. This paper proposes an accurate peer-to-peer hierarchical control method for the hybrid DC microgrid cluster, and the working principle of this hierarchical control method is analyzed in detail. The microgrid cluster consists of three sub-microgrids, where sub-microgrid A consists of three BUCK converters, sub-microgrid B consists of three BOOST converters, and sub-microgrid C consists of two bidirectional DC/DC converters. According to all possible operations of various sub-microgrids in the microgrid cluster, the top-, mid-, and bottom-level controls are designed to solve the coordination control problem among different types of sub-microgrids. In this paper, a hybrid microgrid cluster simulation model is built in the PLECS simulation environment, and an experimental hardware platform is designed. The simulation and experiment results verified the accuracy of the proposed control strategy and its fast plug-and-play regulation ability for the system.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:16:y:2022:i:1:p:421-:d:1019607
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    References listed on IDEAS

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    1. Junjie Ma & Xudong Wang & Siyan Zhang & Hanying Gao, 2021. "Distributed Finite-Time Secondary Frequency and Voltage Restoration Control Scheme of an Islanded AC Microgrid," Energies, MDPI, vol. 14(19), pages 1-20, October.
    2. 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).
    3. 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).
    4. Dong, Chaoyu & Gao, Qingbin & Xiao, Qian & Yu, Xiaodan & Pekař, Libor & Jia, Hongjie, 2018. "Time-delay stability switching boundary determination for DC microgrid clusters with the distributed control framework," Applied Energy, Elsevier, vol. 228(C), pages 189-204.
    5. Wenguo Li & Mingmin Zhang & Yaqi Deng, 2022. "Consensus-Based Distributed Secondary Frequency Control Method for AC Microgrid Using ADRC Technique," Energies, MDPI, vol. 15(9), pages 1-19, April.
    6. Md Masud Rana & Mohamed Atef & Md Rasel Sarkar & Moslem Uddin & GM Shafiullah, 2022. "A Review on Peak Load Shaving in Microgrid—Potential Benefits, Challenges, and Future Trend," Energies, MDPI, vol. 15(6), pages 1-17, March.
    7. Siyuan Liu & Xiaona Liu & Shaojie Jiang & Zengnan Zhao & Ning Wang & Xiaoyu Liang & Minghui Zhang & Lihua Wang, 2022. "Application of an Improved STSMC Method to the Bidirectional DC–DC Converter in Photovoltaic DC Microgrid," Energies, MDPI, vol. 15(5), pages 1-16, February.
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    1. Kafeel Ahmed & Irfan Hussain & Mehdi Seyedmahmoudian & Alex Stojcevski & Saad Mekhilef, 2023. "Voltage Stability and Power Sharing Control of Distributed Generation Units in DC Microgrids," Energies, MDPI, vol. 16(20), pages 1-17, October.

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