Project Grant DESC0015792

The National Science Foundation (NSF) Engineering program awarded a $135,956 project grant to South Dakota State University (SDSU) to develop a highly efficient, modular, and scalable power system that integrates photovoltaic, energy storage, and smart micro-inverter technologies. The goal is to create a novel power conversion system architecture and control capabilities to enable greater penetration of solar energy into the electric grid and support grid stability and resilience. The key...

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...

This National Science Foundation Project Grant of $993,643 will fund the acquisition of a large-scale real-time digital simulator for cyber-physical energy systems at the University of Nevada, Reno from September 1, 2022 to August 31, 2025. The simulator will allow researchers to model power grids incorporating events like natural disasters, communication failures and cyberattacks. This equipment, called a real-time digital simulator, will enable multi-disciplinary research, education and...

Altitude Grid, LLC received a $200,000 Project Grant award from the Department of Energy Office of Science on June 27, 2022 to develop a Reinforced Hierarchical Probabilistic Solar Forecasting Tool Based on Dynamic Multi-Model Machine Learning. The tool will utilize machine learning techniques to provide probabilistic solar power forecasting through June 26, 2023. This aligns with the Office of Science Financial Assistance Program's mission under the 81.049 CFDA to transform understanding of...

The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded the University of Texas at Austin a $250,000 Project Grant under the NSF Engineering program (CFDA 47.041) to develop novel learning-based approaches for estimating the flexibility amount of grid edge resources (GERs) and designing equitable resource coordination and management methods. The project aims to transform the management of flexible energy resources in distribution electricity...

This Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) provides $275,000 to Sunairio Inc. to develop a high-fidelity climate simulation engine powered by generative adversarial networks. The goal is to create a broad (1,000 outcomes), hyperlocal (less than 3 km) climate simulation archive that can be used by power grid planners and energy investors to better understand forward-looking risks to grid...

This National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems Project Grant, titled "ASCENT: ULTRA-COMPACT PV MICROINVERTERS WITH INTEGRATED ACTIVE POWER DECOUPLING", will provide $1,500,000 in funding from September 1, 2023 to August 31, 2027. The project aims to develop transformative solar micro-inverters enabled by innovative circuit topologies, control techniques, sensors, and electro-thermal co-design. Key innovations include single-stage...

The National Science Foundation (NSF) awarded a $267,323 Project Grant to the CAL Poly Corporation at California Polytechnic State University, San Luis Obispo. The grant, funded through the NSF Directorate for Engineering (CFDA 47.041), supports the development of new computing methods to improve the reliability, efficiency, and sustainability of the electric power grid. Specifically, the project team will research electronic analog and hybrid computing approaches to address challenges...

This $350,000 federal Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) aims to develop a new reduced-order dynamic modeling paradigm for accurately representing the impacts of massive distributed energy resource (DER) integration in carbon-neutral power systems. The project, awarded to Arizona State University, will leverage tools in dynamic systems, nonlinear system identification, and machine learning to create physics-based and machine...

The Department of Energy Office of Science awarded Universal Real Time Power Conversion LLC a $200,000 Project Grant under the Office of Science Financial Assistance Program (CFDA 81.049) to develop a real time simulation tool for predicting the performance of power electronics technology used in the electric grid. The tool will model and test power electronics under different operating conditions to evaluate performance for grid applications. The Office of Science Financial Assistance Program...