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UAF leads AI project to strengthen �ֻ�ֱ��'s rural power grids

A new energy research project led by the �ֻ�ֱ�� has received a $725,000 award from the U.S. Department of Energy.

The AURORA-AI project, short for �ֻ�ֱ�� Utility Resilience and Optimization using Real-time AI, will use advanced artificial intelligence to improve electric power systems serving rural and coastal communities.

Remote microgrids face unique operational challenges because they must continuously balance electricity supply and demand without the support of larger interconnected power grids.

The project brings together researchers from the UAF �ֻ�ֱ�� Center for Energy and Power, Colorado State University, the National Laboratory of the Rockies and Cordova Electric Cooperative to develop next-generation AI tools for �ֻ�ֱ��’s remote islanded microgrids — the electric systems that power many remote communities across �ֻ�ֱ��.

AURORA-AI will combine high-resolution utility data, virtual replicas of the power grid and state-of-the-art AI to help utilities forecast demand, detect abnormal operating conditions, optimize energy resources and support real-time operational decisions.

“AURORA-AI brings together artificial intelligence with decades of real-world utility data and advanced power-system modeling to help �ֻ�ֱ��’s remote and islanded communities operate more reliable, resilient and affordable electric grids,” said ACEP’s Richard Wies, principal investigator for the project and a professor at UAF.

With over 200 remote microgrids, �ֻ�ֱ�� is one of the ideal environments for microgrid research. As the lead institution, ACEP will oversee the project and lead development of the data infrastructure, virtual replicas and overall system demonstration. Researchers at ACEP will work with faculty, research professionals and graduate students to develop and validate the AI platform.

The project is expected to improve forecasting accuracy, reduce diesel fuel consumption and strengthen the resilience of isolated power systems

“�ֻ�ֱ��’s isolated power systems provide an ideal environment for developing and testing next-generation technologies that can improve electric grid resilience,” Wies said. 

In addition to benefiting �ֻ�ֱ�� communities, the technologies developed through AURORA-AI are designed to be scalable for use by rural communities, island power systems and other small generation and storage systems.

“While developed for the unique challenges of �ֻ�ֱ��, the tools and technologies from this project have the potential to benefit remote and isolated power systems around the world,” Wies said.

The award is part of the U.S. Department of Energy’s , one of the nation’s most ambitious efforts to use AI to transform energy and scientific discovery and national security.

CONTACT: Richard Wies, principal investigator, rwwiesjr@alaska.edu

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