Optimization of Microgrid Operations with Multi-Time Scale and Event-Driven Control Techniques Ke Zeng

Ke Zeng

Abstract: This paper presents a hybrid control approach that integrates multi-time scale optimization and event-driven techniques to improve the efficiency and reliability of microgrid operations. By coordinating control decisions across short, medium, and long time horizons while triggering updates based on system events, the proposed strategy ensures both high performance and reduced computational complexity. The study applies the method to a microgrid environment with diverse energy resources and validates its effectiveness through comprehensive simulations that highlight better energy management and operational stability compared to traditional control methods.

Submission Number: 223