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Article Navigation >  IEEE/CAA Journal of Automatica Sinica  > 2025  > In Press, Accepted Manuscript
Z. Liu, Y. Zhang, Y. Zhang, and F. Wang, “Distributed economic dispatch algorithms of microgrids integrating grid-connected and isolated modes,” IEEE/CAA J. Autom. Sinica, vol. 12, no. 1, pp. 86–98, Jan. 2025. doi: 10.1109/JAS.2024.124695
Citation: Z. Liu, Y. Zhang, Y. Zhang, and F. Wang, “Distributed economic dispatch algorithms of microgrids integrating grid-connected and isolated modes,” IEEE/CAA J. Autom. Sinica, vol. 12, no. 1, pp. 86–98, Jan. 2025. doi: 10.1109/JAS.2024.124695
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Distributed Economic Dispatch Algorithms of Microgrids Integrating Grid-Connected and Isolated Modes

doi: 10.1109/JAS.2024.124695
Funds:  This work was supported by the National Natural Science Foundation of China (62103203)
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    Abstract
  • The economic dispatch problem (EDP) of microgrids operating in both grid-connected and isolated modes within an energy internet framework is addressed in this paper. The multi-agent leader-following consensus algorithm is employed to address the EDP of microgrids in grid-connected mode, while the push-pull algorithm with a fixed step size is introduced for the isolated mode. The proposed algorithm of isolated mode is proven to converge to the optimum when the interaction digraph of microgrids is strongly connected. A unified algorithmic framework is proposed to handle the two modes of operation of microgrids simultaneously, enabling our algorithm to achieve optimal power allocation and maintain the balance between power supply and demand in any mode and any mode switching. Due to the push-pull structure of the algorithm and the use of fixed step size, the proposed algorithm can better handle the case of unbalanced graphs, and the convergence speed is improved. It is documented that when the transmission topology is strongly connected and there is bi-directional communication between the energy router and its neighbors, the proposed algorithm in composite mode achieves economic dispatch even with arbitrary mode switching. Finally, we demonstrate the effectiveness and superiority of our algorithm through numerical simulations.

     

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