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Distributed Dynamic Economic Dispatch of an Isolated AC/DC Hybrid Microgrid Based on a Finite-Step Consensus Algorithm

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)

  • Xuanjun Zong

    (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

The AC/DC hybrid microgrid is the main trend of microgrids’ development, and the dynamic economic dispatch is regarded as an important way to ensure the economic and safe operation of a microgrid system. In this paper, a dynamic economic dispatch model of the isolated AC/DC hybrid microgrid is developed with the objective of minimizing the daily operation cost of controllable units. Furthermore, a distributed algorithm based on the finite-step consensus algorithm is proposed, in which the incremental cost of each distributed generation unit is set as a consensus variable, and all units obtain the optimal values by exchanging information only with their neighbors. In addition, the algorithm converges to the optimal solutions in finite steps, and the efficiency is improved significantly. The effectiveness of the proposed model and the algorithm were verified by simulation.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:24:p:4637-:d:294923
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    References listed on IDEAS

    as
    1. Jian Le & Qian Zhou & Liangang Zhao & Yang Wang, 2019. "Research on the Real-Time Distributed Economic Dispatch Strategy for Microgrids," Energies, MDPI, vol. 12(20), pages 1-16, October.
    2. Bo Li & Panpan Zhang & Xiangjun Li & Shengxian Cao, 2019. "Distributed Absorption and Half-Search Approach for Economic Dispatch Problem in Smart Grids," Energies, MDPI, vol. 12(8), pages 1-21, April.
    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. Md. Fatin Ishraque & Sk. A. Shezan & Md. Sohel Rana & S. M. Muyeen & Akhlaqur Rahman & Liton Chandra Paul & Md. Shafiul Islam, 2021. "Optimal Sizing and Assessment of a Renewable Rich Standalone Hybrid Microgrid Considering Conventional Dispatch Methodologies," Sustainability, MDPI, vol. 13(22), pages 1-23, November.
    2. Zejun Tong & Chun Zhang & Xiaotai Wu & Pengcheng Gao & Shuang Wu & Haoyu Li, 2023. "Economic Optimization Control Method of Grid-Connected Microgrid Based on Improved Pinning Consensus," Energies, MDPI, vol. 16(3), pages 1-31, January.
    3. Amrutha Raju Battula & Sandeep Vuddanti & Surender Reddy Salkuti, 2021. "Review of Energy Management System Approaches in Microgrids," Energies, MDPI, vol. 14(17), pages 1-32, September.
    4. Laiqing Yan & Yulin Zhao & Tailin Xue & Ning Ma & Zhenwen Li & Zutai Yan, 2022. "Two-Layer Optimal Operation of AC–DC Hybrid Microgrid Considering Carbon Emissions Trading in Multiple Scenarios," Sustainability, MDPI, vol. 14(17), pages 1-20, August.
    5. Fatin Ishraque, Md. & Shezan, Sk. A. & Ali, M.M. & Rashid, M.M., 2021. "Optimization of load dispatch strategies for an islanded microgrid connected with renewable energy sources," Applied Energy, Elsevier, vol. 292(C).
    6. 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.

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