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Distributed Optimal Secondary Control of Microgrids: A Consensus-Driven Hierarchical Algorithm With Predefined-Time Convergence
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DOI：10.1109/TCSII.2025.3627624.png)
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Abstract
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This brief proposes a hierarchical predefined time optimal secondary control strategy for microgrid systems with external disturbances. Unlike traditional control methods, the key breakthrough of this strategy lies in achieving decoupling between optimization tasks and control tasks: the optimal estimation layer can be separated from other interfering factors and focus on efficient solution of the optimal solution; The control layer independently focuses on dynamic control tasks, effectively avoiding performance limitations caused by task coupling, and providing a new approach for solving optimal control problems in microgrids with unknown nonlinearity and external disturbances. In the optimal estimation layer, a predefined time optimal estimator is design to ensure fast convergence to the optimal solution; At the control layer, a specified performance controller that is not affected by initial values is constructed to ensure that the frequency and voltage of the microgrid converge to the preset accuracy range within a predefined time. Finally, the simulation experiment results demonstrate the effectiveness of the proposed algorithm.
Keywords:
Predefined time
optimal control
microgrid systems
hierarchical control
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