Federal regulations severely limit access to any real-world data that could be used to guide malicious attacks on electric power infrastructure. That same data, however, could be tremendously useful for understanding how best to improve the grid. By developing data sets for modeling purposes, we hopes to address that information deficit, enabling researchers to explore concrete questions about the evolving electric power grid, such as how to facilitate and optimize integration of solar and wind energy, how to improve energy storage technologies and how to enhance electric energy markets.


To acheive this, we have developed large-scale synthetic transmission system models and scenarios to serve as test cases for reducing barriers to developing and adopting new technologies in grid optimization and control. To access these cases, please register for an account using the menu options at the top!