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 three-year, $110,851 project grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop a cyber resilient 5G-enabled virtual power system to address growing power demands. Specifically, the awardee, Texas A&M University-Kingsville, will design and implement a smart artificial intelligence-based microinverter for pole-mounted solar power systems with energy storage, connected to low-voltage distribution networks. Data from the...
This Project Grant from the National Science Foundation's $191,580 Computer and Information Science and Engineering program will support the development of a cyber resilient 5G-enabled virtual power system to address growing power demands. Tennessee State University will implement a pole-mounted solar and battery system with smart controllers to remotely control and optimize performance as a virtual power plant. A secure 5G communication protocol will enable data sharing between photovoltaic,...
This $500,000 National Science Foundation project grant funds the development of algorithms and computational tools to optimize electric power system planning and operations during extreme events such as wildfires and hurricanes. Awarded under the Engineering program (CFDA 47.041), the five-year award to the Georgia Tech Research Corporation from February 2022 to January 2027 aims to address computational challenges associated with power grid nonlinearities, uncertainties from renewable energy...
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...
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 Project Grant award of $240,000.00 from the National Science Foundation (NSF) under the Mathematical and Physical Sciences program (CFDA 47.049) supports collaborative research to develop novel topological and graph-based modeling techniques for integrating large-scale, distributed energy resources into power grid systems. The key objectives are to create a data-adaptive graph generation module, apply topological data analysis and higher-order network models, and design deep neural...
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...
This NSF Directorate for Engineering (CFDA 47.041) project grant award to the New Jersey Institute of Technology (NJIT) for $1,499,991 from September 1, 2023 to August 31, 2027 aims to develop a unified framework for modernizing power systems and integrating multiple renewable energy resources. The project, titled "ASCENT: From Sensors to Multiscale Digital Twin to Autonomous Operation of Resilient Electric Power Grids," will leverage advancements in control, power electronics, and...
This $225,000 National Science Foundation (NSF) Project Grant award under the CFDA 47.041 Engineering program aims to develop a physics-informed, real-time optimal power flow model using machine learning techniques. The project seeks to address gaps in providing close to optimal solutions for power plant outputs while considering practical dynamical constraints to avoid frequency fluctuations and grid instabilities. The key scientific and engineering contributions include: (1) advancements in...