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Research on the Optimal Economic Power Dispatching of a Multi-Microgrid Cooperative Operation

Author

Listed:
  • Haipeng Wang

    (Department of Mechanical Engineering, North China Electric Power University, Baoding 071003, China
    Hebei Key Laboratory of Electric Machinery Health Maintenance Failure Prevention, North China Electric Power University, Baoding 071003, China)

  • Xuewei Wu

    (Department of Mechanical Engineering, North China Electric Power University, Baoding 071003, China)

  • Kai Sun

    (Department of Mechanical Engineering, North China Electric Power University, Baoding 071003, China)

  • Yuling He

    (Department of Mechanical Engineering, North China Electric Power University, Baoding 071003, China
    Hebei Key Laboratory of Electric Machinery Health Maintenance Failure Prevention, North China Electric Power University, Baoding 071003, China)

Abstract

The economic power-dispatching model of a multi-microgrid is comprehensively established in this paper, considering many factors, such as generation cost, discharge cost, power-purchase cost, power sales revenue, and environmental cost. To construct this model, power interactions between the two microgrids and those between the micro- and main grids are considered. Furthermore, the particle swarm optimization (PSO) algorithm is utilized to solve the economic power-dispatching model. To validate the effectiveness of the proposed model as well as the solution algorithm, a practical project case is studied and discussed. In the case study, the impact of multiple scenarios is first analyzed. Then, the system operation economic costs under different scenarios are described in detail. Moreover, according to the optimization power-dispatching results of the multi-microgrid, power interactions between the two microgrids and those between the micro- and main grids are fully discussed.

Suggested Citation

  • Haipeng Wang & Xuewei Wu & Kai Sun & Yuling He, 2022. "Research on the Optimal Economic Power Dispatching of a Multi-Microgrid Cooperative Operation," Energies, MDPI, vol. 15(21), pages 1-13, November.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:21:p:8194-:d:961890
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    References listed on IDEAS

    as
    1. Abdul Latif & S. M. Suhail Hussain & Dulal Chandra Das & Taha Selim Ustun, 2021. "Design and Implementation of Maiden Dual-Level Controller for Ameliorating Frequency Control in a Hybrid Microgrid," Energies, MDPI, vol. 14(9), pages 1-15, April.
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    Cited by:

    1. Haipeng Wang & Xuewei Wu & Kai Sun & Xiaodong Du & Yuling He & Kaiwen Li, 2023. "Economic Dispatch Optimization of a Microgrid with Wind–Photovoltaic-Load-Storage in Multiple Scenarios," Energies, MDPI, vol. 16(9), pages 1-16, May.

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