Project Grant DESC0025143

This $199,339 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program to the California State University San Marcos Corp (CSUSM) will develop novel AI and machine learning models for supervisory control of wind farm connections to the electric grid for stability monitoring. The project aims to create innovative AI/ML models that can directly analyze raw power data to enable accurate fault prediction and detection, which...

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 Cooperative Agreement award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program provides $1,250,000 in funding to Ai Linear Inc. for the development of a specialized integrated circuit (IC) chip for real-time predictive maintenance of autonomous systems. The project aims to create a small, low-power, and low-latency AI-enabled chip that can detect anomalies in sensor data, such as vibrations and sounds, to predict potential...

This National Science Foundation (NSF) Integrative Activities program (CFDA 47.083) Project Grant award of $286,612 will support the development of an explainable AI-based performance monitoring system for distributed sustainable energy networks at the University of Nevada, Las Vegas (UNLV). The project aims to improve the reliability of sustainable energy systems, such as solar and wind power, by utilizing AI and multi-modal learning techniques to detect and classify anomalies. Key objectives...

This $199,998 Project Grant award was provided by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041) to Michigan Technological University. The award supports the development of a novel real-time digital signal processing theory and diagnostic tools to enhance the stability, security, and resilience of electric power grids. The project aims to create advanced wavelet transform techniques capable of rapidly identifying and responding to faults in complex power...

This Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides $393,890 to the University of Texas at Austin to advance the autonomy of power grids. The project aims to develop novel machine learning-assisted optimization techniques to speed up decision-making by individual power grid agents, use AI and generative modeling to enhance the resilience of multi-agent power grid management, and integrate societal benefits and sustainability metrics into...

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 $400,000 Project Grant awarded by the National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems aims to revolutionize the design of learning-enabled, safety-critical systems, with a focus on power systems. The project, titled "COLLABORATIVE RESEARCH: SLES: SAFETY UNDER DISTRIBUTIONAL SHIFT IN LEARNING-ENABLED POWER SYSTEMS", will develop proactive, antifragile systems that can anticipate and adapt to changes, utilize multi-agent systems for...

This Project Grant award of $1,233,079.00 from the National Science Foundation (NSF) Engineering Directorate (CFDA 47.041) aims to develop a comprehensive theoretical framework for modeling, designing, sensing, and controlling the post-fault stability of future power systems with varying levels of inverter-based resources and synchronous generators. The key products and services to be delivered under this grant include: Establishing the theoretical foundations of energy functions for...

This three-year, $144,994 project grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop a cyber resilient virtual power plant network for growing power demands. Specifically, the award supports designing and implementing a 5G-enabled smart artificial intelligence-based microinverter for a pole-mounted solar power system with energy storage. This virtual power plant will be connected to low-voltage distribution networks and...