The National Science Foundation (NSF) Engineering program (CFDA 47.041) awarded a $350,000 Project Grant to Arizona State University (ASU) to develop a new reduced-order dynamic modeling paradigm for accurately representing the impacts of distributed energy resources (DERs) on power system stability and transient behavior. The 3-year project aims to create physics-based and machine learning tools that can capture critical nonlinear dynamics missing from existing oversimplified DER models, preserve the topology of distribution grid systems, and enhance the robustness of these models against uncertainties. The project's broader impacts include enabling power system practitioners to better model and assess the stability of DER-penetrated distribution systems, reducing electricity outage risks, and accelerating grid decarbonization.
Generated 3/4/25, 6:40 AM