The projects will be developed under the ARPA-E’s new program, generating realistic information for the development of distribution and transmission algorithms (Grid Data).
In addition to creating new models and data repositories, the Grid Data program will enable research community members to develop accurate tests and evaluations for emerging optimization technologies in order to plan for the future of the electric grid.
ARPA-E director Dr Ellen Williams said: "Improving the resiliency and reliability of the US electric grid is vital to our nation’s energy future.
"Developing new power system models will help to move our nation towards a more reliable, safe and secure grid of the future."
Under the Grid Data program, five projects will develop detailed simulation models for development and testing of transformational power system optimization and control algorithms to enable grid flexibility, improve energy efficiency and reduce the cost of integrating renewable generation technologies onto the grid.
Three different types of grid models including transmission, distribution and hybrid power systems will be developed by the projects including details on electricity generation facilities and customer demand.
Additionally, interactive and publicly available repositories will be developed by two of the Grid Data project teams to store the power system models, as well as other models developed by the engineering community.
The Grid Data program follows the launch of DOE’s new grid modernization multi-year program plan.
A $220m contract has been awarded to DOE’s National Labs and partners to support critical research and development in advanced storage systems, clean energy integration, standards and test procedures, and a number of other key grid modernization areas.