Hierarchical Control and Optimization for Microgrids: Balancing Multiple Time Scales with Event-Triggered Mechanisms
Abstract: Microgrids are dynamic systems that require a coordinated approach to managing multiple time scales across their control layers. This paper proposes a hierarchical control architecture that combines real-time optimization with event-triggered mechanisms to enhance operational efficiency and stability. The architecture is designed to handle both fast transient dynamics and slower, long-term energy management decisions. Simulation results demonstrate how this approach outperforms traditional control strategies in both stability and resource optimization.
Submission Number: 218
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