If successful, GridBright's project will 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 team’s technology could enable greater integration of renewable electricity onto the grid, which would help reduce reliance on carbon-emitting, fossil fuel generation. Finally, the project could lead to greater efficiencies for grid operators and power generators and therefore help reduce operating costs.