Multi-Time Scale and Event-Triggered Optimization Control Strategies for Microgrids

Ke Zeng

Abstract: The increasing integration of distributed energy resources (DERs) and renewable energy into microgrids presents challenges in maintaining system stability and efficient energy distribution. This paper explores a multi-time scale optimization control framework combined with event-triggered mechanisms to enhance the operational performance of microgrids. By coordinating control actions across different time scales—ranging from real-time operations to long-term planning—while implementing event-triggered adjustments, the proposed approach ensures optimal control and stability in dynamic conditions. The effectiveness of the approach is demonstrated through simulation results, highlighting its adaptability and improved efficiency compared to traditional methods.

Submission Number: 221