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Distributed Economic Dispatch Scheme for Droop-Based Autonomous DC Microgrid

Author

Listed:
  • Zhenyu Lv

    (Jiangsu Engineering Laboratory of Gas-Electricity Integrated Energy, Nanjing Normal University, Nanjing 210023, China
    Jiangsu Key Laboratory of Smart Grid Technology and Equipment, Southeast University, Nanjing 210096, China)

  • Zaijun Wu

    (Jiangsu Key Laboratory of Smart Grid Technology and Equipment, Southeast University, Nanjing 210096, China)

  • Xiaobo Dou

    (Jiangsu Key Laboratory of Smart Grid Technology and Equipment, Southeast University, Nanjing 210096, China)

  • Min Zhou

    (Jiangsu Engineering Laboratory of Gas-Electricity Integrated Energy, Nanjing Normal University, Nanjing 210023, China)

  • Wenqiang Hu

    (Jiangsu Key Laboratory of Smart Grid Technology and Equipment, Southeast University, Nanjing 210096, China)

Abstract

In this paper, a distributed economic dispatch scheme considering power limit is proposed to minimize the total active power generation cost in a droop-based autonomous direct current (DC) microgrid. The economical dispatch of the microgrid is realized through a fully distributed hierarchical control. In the tertiary level, an incremental cost consensus-based algorithm embedded into the economical regulator is utilized to search for the optimal solution. In the secondary level, the voltage regulator estimating the average voltage of the DC microgrid is used to generate the voltage correction item and eliminate the power and voltage oscillation caused by the deviation between different items. Then, the droop controller in the primary level receives the reference values from the upper level to ensure the output power converging to the optimum while recovering the average voltage of the system. Further, the dynamic model is established and the optimal communication network topology minimizing the impact of time delay on the voltage estimation is given in this paper. Finally, a low-voltage DC microgrid simulation platform containing different types of distributed generators is built, and the effectiveness of the proposed scheme and the performance of the optimal topology are verified.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:2:p:404-:d:308521
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    Citations

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    Cited by:

    1. Jae-Suk Lee & Yeong-Jun Choi, 2021. "A Stability Improvement Method of DC Microgrid System Using Passive Damping and Proportional-Resonance (PR) Control," Sustainability, MDPI, vol. 13(17), pages 1-17, August.
    2. Shuhui Ren & Xun Dou & Zhen Wang & Jun Wang & Xiangyan Wang, 2020. "Medium- and Long-Term Integrated Demand Response of Integrated Energy System Based on System Dynamics," Energies, MDPI, vol. 13(3), pages 1-24, February.
    3. Gabriel Nasser Doyle de Doile & Pedro Paulo Balestrassi & Miguel Castilla & Antonio Carlos Zambroni de Souza & Jaume Miret, 2023. "An Experimental Approach for Secondary Consensus Control Tuning for Inverter-Based Islanded Microgrids," Energies, MDPI, vol. 16(1), pages 1-15, January.
    4. 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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