Intelligent Control of Microgrid System: A Short Review

Microgrids combine distributed generation, storage, flexible loads, and local intelligence into a single operational layer, making it one of the essential building blocks of resilient low-carbon power systems. The control problem they face is inherently multi-time-scale and multi-objective, like converter-level dynamics, which must be stable at the millisecond level; frequency and voltage need to be restored in seconds, but economic dispatch and connection with the grid need minutes to hours for optimization. In this mini-review, authors summarize the latest status and challenges of intelligent microgrid control, where emphasis is placed on adaptive control, model predictive control, distributed and multi-agent control, as well as fuzzy-neural methods and reinforcement learning.