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Mathematics and Computer Science

M2ACS: Multifaceted Mathematics for Complex Energy Systems Project

Developing predictive models for complex energy systems
Enables efficient and safe incorporation of renewable energy in the U.S. energy system; shown here is the Illinois transmission grid topology.

The production, distribution, storage, and use of electrical energy are undergoing significant changes. Demand and production patterns are being altered radically by the advent of smart grids,” renewable generation, hybrid electric vehicles, and storage technologies. The mathematical descriptions of such systems raise numerous challenges, ranging from multiple spatial and temporal variables to uncertainty in future operating conditions. To address these challenges, we will develop, analyze, and integrate predictive models of system behavior, new optimization-based sampling approaches, and new analysis methods and scalable algorithms that can exploit the rich mathematical structure