Distributed and Intelligent Energy Systems: Energy Storage, Renewable and Smart Energy Homes
Profile
Distributed and Intelligent Energy Systems: Energy Storage, Renewable and Smart Energy Homes
PIs: Adam Wierman and Animashree (Anima) Anandkumar
Research Team: Yuanyuan Shi, PhD
Division of Engineering and Applied Science, CMS
Sunlight to Everything Initiative
This project seeks to build an integrated framework for the control and market design of future low-carbon energy systems. The incorporation of renewable energy into the power system (grid), requires moving from a centrally managed and optimized system design to a distributed design, where decentralized agents learn and interact with dynamic, real-time pricing and market mechanisms (smart grid). Achieving this transformation requires new tools that interface between multi- agent learning and market design. We aim to develop and test these tools which, if successful, would enable intelligent real-time control for hundreds of thousands of distributed energy resources such as energy storage, renewables, or smart energy homes. A successful control framework would take into account the individual objectives, guarantee each participant's welfare and maintain the overall energy system stability and reliability.