Project Grant 2420959

This Project Grant award of $240,000.00 from the National Science Foundation (NSF) under the Mathematical and Physical Sciences program (CFDA 47.049) supports collaborative research to develop novel topological and graph-based modeling techniques for integrating large-scale, distributed energy resources into power grid systems.

The key objectives are to create a data-adaptive graph generation module, apply topological data analysis and higher-order network models, and design deep neural network architectures that can capture the complex, high-dimensional structures of modern power grids. This research aims to transcend current limitations of traditional power system models, enabling more accurate controls and enhancing the reliability and resiliency of power transmission networks. The project framework is expected to lower energy costs, reduce power outages, and train students in cross-disciplinary skills at the intersection of computer science, mathematics, and electrical engineering. The University of California, Riverside is the prime awardee, with planned subawards, and the project period runs from July 1, 2025 to June 30, 2028.