Power Systems Model Repository

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Project Term:
05/25/2016 - 05/24/2019

Critical Need:

Several emerging issues, including the resiliency of electric power delivery during extreme weather events, expanding use of distributed generation, the rapid growth of renewable generation and the economic benefits of improved grid efficiency and flexibility, are challenging the way electricity is delivered. 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.

Project Innovation + Advantages:

GridBright and Utility Integration Solutions (UISOL, a GE Company) will develop a power systems model repository based on state-of-the-art open-source software. The models in this repository will be used to facilitate testing and adoption of new grid optimization and control algorithms. The repository will use field-proven open-source software and will be made publicly available in the first year of the project. Key features of the repository include an advanced search capability to support search and extraction of models based on key research characteristics, faster model upload and download times, and the ability to support thousands of users. The team will establish a long-term strategy for managing the repository that will allow its operation to continue after its project term with ARPA-E ends.

Potential Impact:

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.


ARPA-E Program Director:
Dr. Kory Hedman
Project Contact:
Dr. Ali Vojdani
Press and General Inquiries Email:
Project Contact Email:

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