Ezra's Round Table / Systems Seminar: Bolun Xu (Columbia)

Description

Electricity Market Designs for Energy Storage using Physics-informed Machine Learning

Energy storage resources can participate in electricity markets to earn revenue while aiding cost-effective power system decarbonization. However, electricity markets were designed based on the characteristics of thermal generators, and it is critical to develop new market models and participation strategies to align energy storage's financial incentives with societal benefits. This talk will introduce novel approaches to facilitate energy storage integration in electricity markets by integrating physics models with machine learning. The talk will introduce an agent-based study demonstrating the impact of storage participation on emissions and system economics, a new state-of-charge based market model for energy storage, and model-based learning approaches to model and monitor storage participants in various market environments.

About the Speaker: Dr. Bolun Xu is an assistant professor at Columbia University in Earth and Environmental engineering, with affiliation in electrical engineering. He received his Ph.D. from the University of Washington, Seattle, MS from ETH Zurich, and BS from Shanghai Jiaotong University, all in electrical engineering. Before joining Columbia, he was a postdoc at MIT Energy Initiative. His research focuses on designing and optimizing sustainable energy and power systems and integrating new technologies.  He is a recipient of the NSF CAREER award, the Young Investigator Award from the IISE Energy Systems Division, and the Early Career Award from Informs Energy, Natural Resources, and Environment section.