A University of Illinois at Urbana-Champaign project led by Thomas Overbye that is investigating the development of algorithms and tools for developing load modules from grid data won a $1M U.S. Department of Energy grant as part of the GRID DATA program.

Using statistics derived from real data, Overbye and colleagues will develop transition system models and associated scenarios to mimic the complexity of modern power grids, including network structure, characteristics, and consumer demand. This work supports the broader objectives of the DOE’s Grid Modernization Multi-Year Program Plan to improve the resiliency, reliability, and security of the nation’s electricity delivery system.

With recent advances in computing technology and optimization software, researchers have developed new algorithms–the computations that serve as the basis to develop software–to solve how power can be most efficiently transmitted and distributed on the electric grid. However, existing models that test these algorithms are dated, inaccurate or incomplete; meanwhile, models that use real data from the electric grid cannot be shared publicly due to security and privacy challenges. The GRID DATA program seeks to overcome these limitations by creating new models and data repositories that can be used by members of the research community to develop accurate tests and evaluations for emerging optimization technologies to plan for the future of the electric grid. Read more about Overbye’s research.