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Fully Distributed Optimal Economic Dispatch for Microgrids under Directed Communication Networks Considering Time Delays

Author

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  • Yuhang Zhang

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

  • Ming Ni

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

Abstract

Distributed generation and demand-side management are expected to play a more prominent role in future power systems. However, the increased number of generations and load demands pose new challenges to optimal energy management in a microgrid. In this paper, an economic dispatch model for microgrids considering Traditional Generators (TGs), energy storage units, wind turbines (WTs), and flexible loads is established. To tackle the Economic Dispatch Problem (EDP) over directed communication networks, a fully distributed algorithm developed by leveraging a two-step state information exchange mechanism is proposed. In addition, by employing a fixed stepsize, the proposed algorithm demonstrates rapid convergence. Furthermore, our algorithm is well-suited for nonquadratic convex cost functions. Subsequently, we extend our algorithm to address imperfect communication scenarios. Even in the presence of arbitrarily large yet bounded time delays, our algorithm exhibits robustness. Finally, several numerical examples are given to verify the correctness and effectiveness of the developed results.

Suggested Citation

  • Yuhang Zhang & Ming Ni, 2023. "Fully Distributed Optimal Economic Dispatch for Microgrids under Directed Communication Networks Considering Time Delays," Energies, MDPI, vol. 16(23), pages 1-22, December.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:23:p:7898-:d:1293539
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    References listed on IDEAS

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    1. Villanueva-Rosario, Junior Alexis & Santos-García, Félix & Aybar-Mejía, Miguel Euclides & Mendoza-Araya, Patricio & Molina-García, Angel, 2022. "Coordinated ancillary services, market participation and communication of multi-microgrids: A review," Applied Energy, Elsevier, vol. 308(C).
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