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Distributed Hierarchical Consensus-Based Economic Dispatch for Isolated AC/DC Hybrid Microgrid

Author

Listed:
  • Ke Jiang

    (College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China)

  • Feng Wu

    (College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China)

  • Linjun Shi

    (College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China)

  • Keman Lin

    (College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China)

Abstract

In this paper, a distributed hierarchical consensus algorithm is proposed to solve the economic dispatch (ED) problem for the isolated AC/DC hybrid microgrid. At first, the whole nodes of the AC/DC hybrid microgrid are divided into two parts, that is, the leadership layer nodes and the tracking layer nodes. The leadership layer nodes update the data through their own feedback elements, while the tracking layer nodes receive the information from the leadership layer nodes and update the data. After several iterations, the two different layer nodes obtain the same state, which realizes the dynamic active power balance of the whole AC/DC microgrid. Besides, the AC sub-grid and DC sub-grid can also realize the power balance by the proposed algorithm, and the energy storage units will absorb or release active power to meet the power demand in the respective section. In addition, the constraints of the nodes are also taken into account to guarantee that the power nodes in the AC/DC hybrid microgrid should operate within their own limitations, which is necessary to realize the ED for the considered hybrid microgrid. Finally, case study and simulation results are provided to illustrate the effectiveness of the proposed hierarchal method.

Suggested Citation

  • Ke Jiang & Feng Wu & Linjun Shi & Keman Lin, 2020. "Distributed Hierarchical Consensus-Based Economic Dispatch for Isolated AC/DC Hybrid Microgrid," Energies, MDPI, vol. 13(12), pages 1-23, June.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:12:p:3209-:d:374217
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    References listed on IDEAS

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    1. Zhenyu Lv & Zaijun Wu & Xiaobo Dou & Min Zhou & Wenqiang Hu, 2020. "Distributed Economic Dispatch Scheme for Droop-Based Autonomous DC Microgrid," Energies, MDPI, vol. 13(2), pages 1-27, January.
    2. Ke Jiang & Feng Wu & Xuanjun Zong & Linjun Shi & Keman Lin, 2019. "Distributed Dynamic Economic Dispatch of an Isolated AC/DC Hybrid Microgrid Based on a Finite-Step Consensus Algorithm," Energies, MDPI, vol. 12(24), pages 1-18, December.
    3. Daniel Akinyele & Juri Belikov & Yoash Levron, 2018. "Challenges of Microgrids in Remote Communities: A STEEP Model Application," Energies, MDPI, vol. 11(2), pages 1-35, February.
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    Cited by:

    1. Sohail Sarwar & Desen Kirli & Michael M. C. Merlin & Aristides E. Kiprakis, 2022. "Major Challenges towards Energy Management and Power Sharing in a Hybrid AC/DC Microgrid: A Review," Energies, MDPI, vol. 15(23), pages 1-30, November.
    2. Lingling Li & Jiarui Pei & Qiang Shen, 2023. "A Review of Research on Dynamic and Static Economic Dispatching of Hybrid Wind–Thermal Power Microgrids," Energies, MDPI, vol. 16(10), pages 1-23, May.
    3. Javier Contreras & Gregorio Muñoz-Delgado, 2021. "Distributed Power Generation Scheduling, Modeling, and Expansion Planning," Energies, MDPI, vol. 14(22), pages 1-2, November.

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