Project Grant 2348420
Award Date
10/15/23
Completion Date
6/30/25
Dollars Obligated
$200K
Federal Agency
Division of Electrical, Communications and Cyber Systems
Awardee
Purdue University (YRXVL4JYCEF5)
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
Hammond, IN 46323, USA
Similar Awards
This National Science Foundation award of $102,289 provides funding for a one-year project grant to The University of New Mexico titled "MRI: Acquisition of a Network Emulator for Cyber Security Research of Electric Power Grids." The goal is to purchase a co-simulation tool to model cyber-physical systems and conduct cybersecurity research on critical infrastructure like power grids. This tool will enable researchers to study cyberattacks in a digital twin platform without risking an...
The National Science Foundation (NSF) awarded a $1,500,000 Project Grant titled "ASCENT: BOOSTING CYBER AND PHYSICAL RESILIENCE OF POWER ELECTRONICS-DOMINATED DISTRIBUTION GRIDS IN ENERGY SPACE" to the San Diego State University Research Foundation under the NSF Directorate for Engineering (CFDA 47.041) program. The project aims to develop an innovative sensing and control system to enhance the cyber-physical resilience of power distribution systems with a high penetration of power...
This $295,149 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) aims to address protection challenges arising from the increasing penetration of renewable energy in modern electric grids. The University of Denver is the prime recipient, and the project will run from August 1, 2024 to July 31, 2027. The project will explore novel model-driven and data-driven solutions to ensure dependable fault detection and secure relay operation for power grids...
This NSF Engineering (CFDA 47.041) project grant award of $409,927 to Purdue University aims to develop novel algorithmic solutions to advance the optimal scheduling of distributed energy resources (DERs) in power distribution grids. The key objectives are to: 1) reduce data communication required for a grid operator to orchestrate DERs by strategically identifying influential customer/grid meters; 2) use machine learning to transform distilled data to yield near-optimal, near-feasible OPF...
This Project Grant award of $199,940.00 from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program is supporting research by Rensselaer Polytechnic Institute (RPI) to develop algorithms that can quickly predict and rectify large-scale disruptions in power systems. The key objectives are: 1) Quickly and reliably detect ambient-level anomalies in power systems and distinguish them from random noise; 2) Localize any detected anomalies; and 3) Determine the...
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...
This three-year project grant from the National Science Foundation's Engineering Directorate (ENG), funded under the CFDA 47.041 program, provides $299,917 to Wayne State University to develop methodologies for synthesizing cyber-secure and resilient control logic for networked discrete-event systems subject to cyber attacks. The principal objective is to enhance the reliability and performance of advanced control systems that embed complex control logic by providing formal methodologies to...
This $375,000 project grant from the National Science Foundation's Engineering program (CFDA 47.041) funds research at Texas A&M Engineering Experiment Station to develop a Strategic Holistic Framework for Intrusion Prevention using Multi-modal Data in Power Systems (SHIELD). The three-year project aims to strengthen national power grid protection against cyber-physical attacks through novel intrusion detection and prevention methods. Researchers will fuse cyber and physical power system...
This National Science Foundation project grant of $300,000 supports research at the University of Tulsa to develop a decentralized artificial intelligence framework for distribution system fault detection, identification, and power restoration. Under the NSF Engineering program (CFDA 47.041), the university will create a graph capsule network to recognize spatial and temporal patterns in distribution systems and identify fault types and locations. Researchers will also devise a novel...
This $200,000 National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation project grant, awarded to Purdue University, aims to develop approaches for the joint operation of coupled municipal drinking water and electric power distribution networks. The key products and services to be delivered through this 3-year project include: Developing operational planning and real-time control strategies for these coupled water-power networks under uncertainty. Designing...