Contract: $860,000 - Office of Science - Aug. 25, 2009
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Award Description: The project goal is to develop advanced Kalman filtering techniques and formulate dynamic state estimations that will fundamentally change the paradigm of real-time operations and control for complex engineering systems. Power grids, gas-pipelines, and other complex systems pose fundamental challenges in real-time operations and control because they are highly dynamic, consisting of a large number of elements with severe nonlinearities and discontinuities. Past power grid failures resulted in significant societal impact and financial losses, such as the 2003 Northeast Blackout, sweeping out a large geographical area in nine seconds, affecting 50 million people and causing ~$10 billion dollar losses. Today?s tools for complex system operations are mostly based on steady-state models, unable to capture the dynamic nature and too slow to prevent system failures. Our goal is to produce an advanced Kalman-filter technique for dynamic state estimation with improvements regarding both model prediction and measurement correction, and its implementation on high-performance computing platforms. Currently, we are investigating complex system issues, including severe nonlinearity of system equations, discontinuities caused by system controls and network switchings, sparse measurements in space and time, and real-time requirements of complex system operations.
Project Description: The project is in the starting mode with staffing and resource planning. Scoping of specific technical tasks is ongoing. Started coordination with the technical partner - University of North Carolina - Chapel Hill. Started to work on higher-order approximation for Kalman filters.
Jobs Summary: Engineer (Total jobs reported: 0)
Project Status: Less Than 50% Completed
This award's data was last updated on Aug. 25, 2009. Help expand these official descriptions using the wiki below.