Massively Digitized Power Grid: Opportunities and Challenges of Use-inspired AI
It addresses the problem of integrating AI into power grids for decarbonization, but is incremental as it reviews existing factors and practices.
The article examines the opportunities and challenges of applying AI in a digitized power grid, focusing on data, computing, and algorithms, and reviews their impact on system operations and planning with industrial case studies.
This article presents a use-inspired perspective of the opportunities and challenges in a massively digitized power grid. It argues that the intricate interplay of data availability, computing capability, and artificial intelligence (AI) algorithm development are the three key factors driving the adoption of digitized solutions in the power grid. The impact of these three factors on critical functions of power system operation and planning practices are reviewed and illustrated with industrial practice case studies. Open challenges and research opportunities for data, computing, and AI algorithms are articulated within the context of the power industry's tremendous decarbonization efforts.