Project Grant 2033355
- This $249,980 National Science Foundation (NSF) EAGER project grant awarded to North Dakota State University (NDSU) aims to develop a novel network-based framework for analyzing and mitigating sub-synchronous oscillations in inverter-dominated power grids. The project will provide new insights into the mechanisms driving these oscillations, which can jeopardize grid stability and reliability as renewable energy sources with inverters are increasingly integrated. The framework is expected to...
- The National Science Foundation (NSF) awarded a $350,000 Project Grant to Northeastern University under the Engineering program (CFDA 47.041) to develop a robust and efficient state estimator that can trace the fast dynamics of inverter-based renewable energy sources. The project aims to enable effective control feedback signals and facilitate the integration of these renewable sources into power grids, resulting in cleaner, less costly, and more reliable energy delivery. Key aspects of the...
- This Project Grant from the National Science Foundation Division of Mathematical Sciences provides $429,158 to develop computational tools for modeling, prediction and control of distributed and reconfigurable renewable energy systems. Funded under the Mathematical and Physical Sciences program (CFDA 47.049), key outcomes include noise-resilient identification methods for transient dynamics, stochastic models integrating statistical closure with topology-aware data, and optimal control...
- The National Science Foundation (NSF) awarded a $484,965 project grant under the Engineering (CFDA 47.041) program to New York University (NYU) to develop transformative concepts and methodologies to enhance situational awareness of electric power distribution systems. The project aims to address challenges in integrating distributed renewable energy generation by enabling real-time tracking of distribution system operating states. Key objectives include learning-based continuous-time system...
- 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...
- North Carolina State University will receive $413,671 over five years through a Project Grant from the National Science Foundation under the Engineering federal grant program (CFDA 47.041) to conduct research titled "CAREER: CAS- CLIMATE: NAVIGATING A TWO-FRONT CHALLENGE FOR THE POWER GRID: EXTREME WEATHER AND THE RACE TO DECARBONIZATION." The grant aims to improve understanding of challenges facing the power grid from extreme weather events and decarbonization efforts through research...
- The National Science Foundation awarded a $225,000 Project Grant under the Engineering (47.041) federal grant program to the University of Colorado from July 1, 2023 to June 30, 2026. The University will develop a physics-informed real-time optimal power flow model using machine learning techniques to provide close to optimal solutions for power plant outputs while considering dynamic constraints to avoid grid instabilities. Key activities include advancing techniques combining...
- This $299,900 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports research by Virginia Polytechnic Institute & State University (Virginia Tech) on renewable energy integration and grid resiliency. The project focuses on developing new mathematical frameworks and computational strategies to enhance the modeling, monitoring, and analysis of power networks. This work aims to improve the management of...
- The National Science Foundation (NSF) awarded a $159,860 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) program to the Trustees of the Stevens Institute of Technology in Hoboken, New Jersey. This 3-year grant supports the development of efficient algorithms to rigorously quantify uncertainties in state estimation and network topology identification for smart electricity distribution systems. The project aims to enable more accurate modeling and secure, cost-effective...
- This Project Grant award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program provides $365,897 to the Regents of the University of Michigan - University of Michigan-Dearborn to enhance grid reliability and stability through the integration of distributed energy resources. Key goals include developing fundamental knowledge to assess real-world power grid reliability, novel control algorithms to improve grid stability, and a shared platform for...
The National Science Foundation awarded North Dakota State University a $191,781 Project Grant under the Integrative Activities federal grant program (CFDA 47.083) for work titled "RII TRACK 4: Probabilistic Dynamic Control Stability Analysis in Power Grids with High Penetration of Renewable Resources." This February 2021 award will support analysis through January 2023 of probabilistic dynamic control methods to improve stability in electrical power grids with increasing levels of intermittent renewable energy resources such as solar and wind power. The Integrative Activities program aims to enhance STEM competitiveness through capacity building, broadening participation, and developing critical infrastructure for the nation's science and engineering enterprise.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $0 | 5/20/21 | ||
| Not listed | $191.8k | 1/11/21 |