Research Vision:
Our mission is to develop scalable optimization, control, and planning algorithms for the reliable, efficient, and sustainable integration of distributed energy resources, such as energy storage systems, renewable energy resources, and electric vehicles, etc., into power grids. We focus on designing grid-aware decision-making tools across multiple temporal and spatial scales, spanning real-time control to long-term planning, while accounting for uncertainty and operational constraints.
The lab bridges theory and practice by developing methods that integrate rigorous mathematical optimization with data-driven approaches and validating them on real-world systems. Our research enables the transformation of electric power systems into reliable, resilient, and intelligent infrastructures that support a clean and flexible energy future.
