The National Science Foundation (NSF) awarded a $145,871 Project Grant under the NSF Engineering program (CFDA 47.041) to the Regents of the University of California at Riverside (UC Riverside) to develop novel data-driven control methods for the safe and secure operation of grid-edge resources (GERs) in modern power systems. The research aims to address the challenges and opportunities presented by the rapid proliferation of distributed energy resources, such as renewable generators, smart inverters, and battery storage systems, which introduce new vulnerabilities to cyber-attacks due to reduced utility control and observability. The project will develop algorithmically robust data-driven control strategies to ensure network-safe operation of GERs despite model uncertainty and corrupted inputs, with the goal of enhancing the safety and security of the nation's critical energy infrastructure. This award, with a performance period from Sep 1, 2024 to Aug 31, 2027, reflects NSF's mission to advance scientific knowledge and technological innovations that can drive transformative change in power system management.
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