The Repository is a free electronic library of publicly available test data instigated by DOE ARPA-E (US Department of Energy Advanced Research Projects Agency-Energy) to support research in grid optimization and modernization. The Repository will contain some of the existing disparate grid data existing in the utility industry, future grid data developed by the grid research community, as well as the grid models that are being created under the ARPA-E GRID DATA program.
Several emerging trends, including the rapid growth of renewable generation and greater emphasis on improving grid efficiency and resiliency, will require changes in the way electricity is delivered from suppliers to consumers. This grid of the future requires advances in transmission and distribution system management with algorithms to control and optimize how power is transmitted and distributed on the grid. However, the development of these systems has been hindered because the research community lacks high-fidelity, public, large-scale power system models that realistically represent current and evolving grid characteristics. Due to security and privacy concerns, much of the real data needed to test and validate new tools and techniques is restricted. To help drive additional innovation in the electric power industry, there is a need for grid models that mimic the characteristics of the actual grid, but do not disclose sensitive information.
GRID DATA Repository is expected to accelerate the development of new power system optimization algorithms by enabling more comprehensive and transparent testing. The new open-access, self-sustaining repository for the storage, annotation, and curation of power systems models will also enable richer and more comprehensive research collaborations. New grid optimization algorithms could increase the grid’s resiliency and flexibility, improving its security during extreme weather and other threats. Moreover, the Repository could enable greater integration of renewable electricity onto the grid, which would help reduce reliance on carbon-emitting, fossil fuel generation. Finally, the Repository could lead to greater efficiencies for grid operators and power generators and therefore help reduce operating costs.